/usr/share/pyshared/openturns/dist_bundle1.py is in python-openturns 1.2-2.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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4422 4423 4424 4425 4426 4427 4428 4429 4430 4431 4432 4433 4434 4435 4436 4437 4438 4439 4440 4441 4442 4443 4444 4445 4446 4447 4448 4449 | # This file was automatically generated by SWIG (http://www.swig.org).
# Version 2.0.10
#
# Do not make changes to this file unless you know what you are doing--modify
# the SWIG interface file instead.
"""
Probabilistic distributions.
"""
from sys import version_info
if version_info >= (2,6,0):
def swig_import_helper():
from os.path import dirname
import imp
fp = None
try:
fp, pathname, description = imp.find_module('_dist_bundle1', [dirname(__file__)])
except ImportError:
import _dist_bundle1
return _dist_bundle1
if fp is not None:
try:
_mod = imp.load_module('_dist_bundle1', fp, pathname, description)
finally:
fp.close()
return _mod
_dist_bundle1 = swig_import_helper()
del swig_import_helper
else:
import _dist_bundle1
del version_info
try:
_swig_property = property
except NameError:
pass # Python < 2.2 doesn't have 'property'.
def _swig_setattr_nondynamic(self,class_type,name,value,static=1):
if (name == "thisown"): return self.this.own(value)
if (name == "this"):
if type(value).__name__ == 'SwigPyObject':
self.__dict__[name] = value
return
method = class_type.__swig_setmethods__.get(name,None)
if method: return method(self,value)
if (not static):
self.__dict__[name] = value
else:
raise AttributeError("You cannot add attributes to %s" % self)
def _swig_setattr(self,class_type,name,value):
return _swig_setattr_nondynamic(self,class_type,name,value,0)
def _swig_getattr(self,class_type,name):
if (name == "thisown"): return self.this.own()
method = class_type.__swig_getmethods__.get(name,None)
if method: return method(self)
raise AttributeError(name)
def _swig_repr(self):
try: strthis = "proxy of " + self.this.__repr__()
except: strthis = ""
return "<%s.%s; %s >" % (self.__class__.__module__, self.__class__.__name__, strthis,)
try:
_object = object
_newclass = 1
except AttributeError:
class _object : pass
_newclass = 0
class SwigPyIterator(_object):
"""Proxy of C++ swig::SwigPyIterator class"""
__swig_setmethods__ = {}
__setattr__ = lambda self, name, value: _swig_setattr(self, SwigPyIterator, name, value)
__swig_getmethods__ = {}
__getattr__ = lambda self, name: _swig_getattr(self, SwigPyIterator, name)
def __init__(self, *args, **kwargs): raise AttributeError("No constructor defined - class is abstract")
__repr__ = _swig_repr
__swig_destroy__ = _dist_bundle1.delete_SwigPyIterator
__del__ = lambda self : None;
def value(self):
"""value(SwigPyIterator self) -> PyObject *"""
return _dist_bundle1.SwigPyIterator_value(self)
def incr(self, n=1):
"""
incr(SwigPyIterator self, size_t n=1) -> SwigPyIterator
incr(SwigPyIterator self) -> SwigPyIterator
"""
return _dist_bundle1.SwigPyIterator_incr(self, n)
def decr(self, n=1):
"""
decr(SwigPyIterator self, size_t n=1) -> SwigPyIterator
decr(SwigPyIterator self) -> SwigPyIterator
"""
return _dist_bundle1.SwigPyIterator_decr(self, n)
def distance(self, *args):
"""distance(SwigPyIterator self, SwigPyIterator x) -> ptrdiff_t"""
return _dist_bundle1.SwigPyIterator_distance(self, *args)
def equal(self, *args):
"""equal(SwigPyIterator self, SwigPyIterator x) -> bool"""
return _dist_bundle1.SwigPyIterator_equal(self, *args)
def copy(self):
"""copy(SwigPyIterator self) -> SwigPyIterator"""
return _dist_bundle1.SwigPyIterator_copy(self)
def next(self):
"""next(SwigPyIterator self) -> PyObject *"""
return _dist_bundle1.SwigPyIterator_next(self)
def __next__(self):
"""__next__(SwigPyIterator self) -> PyObject *"""
return _dist_bundle1.SwigPyIterator___next__(self)
def previous(self):
"""previous(SwigPyIterator self) -> PyObject *"""
return _dist_bundle1.SwigPyIterator_previous(self)
def advance(self, *args):
"""advance(SwigPyIterator self, ptrdiff_t n) -> SwigPyIterator"""
return _dist_bundle1.SwigPyIterator_advance(self, *args)
def __eq__(self, *args):
"""__eq__(SwigPyIterator self, SwigPyIterator x) -> bool"""
return _dist_bundle1.SwigPyIterator___eq__(self, *args)
def __ne__(self, *args):
"""__ne__(SwigPyIterator self, SwigPyIterator x) -> bool"""
return _dist_bundle1.SwigPyIterator___ne__(self, *args)
def __iadd__(self, *args):
"""__iadd__(SwigPyIterator self, ptrdiff_t n) -> SwigPyIterator"""
return _dist_bundle1.SwigPyIterator___iadd__(self, *args)
def __isub__(self, *args):
"""__isub__(SwigPyIterator self, ptrdiff_t n) -> SwigPyIterator"""
return _dist_bundle1.SwigPyIterator___isub__(self, *args)
def __add__(self, *args):
"""__add__(SwigPyIterator self, ptrdiff_t n) -> SwigPyIterator"""
return _dist_bundle1.SwigPyIterator___add__(self, *args)
def __sub__(self, *args):
"""
__sub__(SwigPyIterator self, ptrdiff_t n) -> SwigPyIterator
__sub__(SwigPyIterator self, SwigPyIterator x) -> ptrdiff_t
"""
return _dist_bundle1.SwigPyIterator___sub__(self, *args)
def __iter__(self): return self
SwigPyIterator_swigregister = _dist_bundle1.SwigPyIterator_swigregister
SwigPyIterator_swigregister(SwigPyIterator)
GCC_VERSION = _dist_bundle1.GCC_VERSION
class TestFailed:
"""
TestFailed is used to raise an uniform exception in tests
"""
__type = "TestFailed"
def __init__(self,reason=""):
self.reason = reason
def type(self):
return TestFailed.__type
def what(self):
return self.reason
def __str__(self):
return TestFailed.__type + ": " + self.reason
def __lshift__(self,ch):
self.reason += ch
return self
import openturns.common
import openturns.typ
import openturns.wrapper
class TestResult(openturns.common.PersistentObject):
"""Proxy of C++ OT::TestResult class"""
__swig_setmethods__ = {}
for _s in [openturns.common.PersistentObject]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, TestResult, name, value)
__swig_getmethods__ = {}
for _s in [openturns.common.PersistentObject]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, TestResult, name)
def GetClassName():
"""GetClassName() -> OT::String"""
return _dist_bundle1.TestResult_GetClassName()
if _newclass:GetClassName = staticmethod(GetClassName)
__swig_getmethods__["GetClassName"] = lambda x: GetClassName
def getClassName(self):
"""getClassName(TestResult self) -> OT::String"""
return _dist_bundle1.TestResult_getClassName(self)
def setDescription(self, *args):
"""setDescription(TestResult self, Description description)"""
return _dist_bundle1.TestResult_setDescription(self, *args)
def getDescription(self):
"""getDescription(TestResult self) -> Description"""
return _dist_bundle1.TestResult_getDescription(self)
def __repr__(self):
"""__repr__(TestResult self) -> OT::String"""
return _dist_bundle1.TestResult___repr__(self)
def getBinaryQualityMeasure(self):
"""getBinaryQualityMeasure(TestResult self) -> OT::Bool"""
return _dist_bundle1.TestResult_getBinaryQualityMeasure(self)
def getPValue(self):
"""getPValue(TestResult self) -> OT::NumericalScalar"""
return _dist_bundle1.TestResult_getPValue(self)
def getThreshold(self):
"""getThreshold(TestResult self) -> OT::NumericalScalar"""
return _dist_bundle1.TestResult_getThreshold(self)
def getTestType(self):
"""getTestType(TestResult self) -> OT::String"""
return _dist_bundle1.TestResult_getTestType(self)
def __eq__(self, *args):
"""__eq__(TestResult self, TestResult other) -> OT::Bool"""
return _dist_bundle1.TestResult___eq__(self, *args)
def __init__(self, *args):
"""
__init__(OT::TestResult self) -> TestResult
__init__(OT::TestResult self, OT::String const & type, OT::Bool const binMeasure, OT::NumericalScalar const pVal,
OT::NumericalScalar const pThreshold) -> TestResult
__init__(OT::TestResult self, TestResult other) -> TestResult
__init__(OT::TestResult self, PyObject * pyObj) -> TestResult
"""
this = _dist_bundle1.new_TestResult(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _dist_bundle1.delete_TestResult
__del__ = lambda self : None;
TestResult_swigregister = _dist_bundle1.TestResult_swigregister
TestResult_swigregister(TestResult)
def TestResult_GetClassName():
"""TestResult_GetClassName() -> OT::String"""
return _dist_bundle1.TestResult_GetClassName()
import openturns.base
import openturns.statistics
import openturns.graph
import openturns.func
import openturns.geom
import openturns.diff
import openturns.optim
import openturns.solver
import openturns.algo
import openturns.experiment
import openturns.model_copula
class DistFunc(_object):
"""Proxy of C++ OT::DistFunc class"""
__swig_setmethods__ = {}
__setattr__ = lambda self, name, value: _swig_setattr(self, DistFunc, name, value)
__swig_getmethods__ = {}
__getattr__ = lambda self, name: _swig_getattr(self, DistFunc, name)
__repr__ = _swig_repr
def pBeta(*args):
"""
pBeta(OT::NumericalScalar const p1, OT::NumericalScalar const p2, OT::NumericalScalar const x,
OT::Bool const tail=False) -> OT::NumericalScalar
pBeta(OT::NumericalScalar const p1, OT::NumericalScalar const p2, OT::NumericalScalar const x) -> OT::NumericalScalar
"""
return _dist_bundle1.DistFunc_pBeta(*args)
if _newclass:pBeta = staticmethod(pBeta)
__swig_getmethods__["pBeta"] = lambda x: pBeta
def qBeta(*args):
"""
qBeta(OT::NumericalScalar const p1, OT::NumericalScalar const p2, OT::NumericalScalar const q,
OT::Bool const tail=False) -> OT::NumericalScalar
qBeta(OT::NumericalScalar const p1, OT::NumericalScalar const p2, OT::NumericalScalar const q) -> OT::NumericalScalar
"""
return _dist_bundle1.DistFunc_qBeta(*args)
if _newclass:qBeta = staticmethod(qBeta)
__swig_getmethods__["qBeta"] = lambda x: qBeta
def rBeta(*args):
"""rBeta(OT::NumericalScalar const p1, OT::NumericalScalar const p2) -> OT::NumericalScalar"""
return _dist_bundle1.DistFunc_rBeta(*args)
if _newclass:rBeta = staticmethod(rBeta)
__swig_getmethods__["rBeta"] = lambda x: rBeta
def rBinomial(*args):
"""rBinomial(OT::UnsignedLong const n, OT::NumericalScalar const p) -> OT::UnsignedLong"""
return _dist_bundle1.DistFunc_rBinomial(*args)
if _newclass:rBinomial = staticmethod(rBinomial)
__swig_getmethods__["rBinomial"] = lambda x: rBinomial
def pGamma(*args):
"""
pGamma(OT::NumericalScalar const k, OT::NumericalScalar const x, OT::Bool const tail=False) -> OT::NumericalScalar
pGamma(OT::NumericalScalar const k, OT::NumericalScalar const x) -> OT::NumericalScalar
"""
return _dist_bundle1.DistFunc_pGamma(*args)
if _newclass:pGamma = staticmethod(pGamma)
__swig_getmethods__["pGamma"] = lambda x: pGamma
def qGamma(*args):
"""
qGamma(OT::NumericalScalar const k, OT::NumericalScalar const q, OT::Bool const tail=False) -> OT::NumericalScalar
qGamma(OT::NumericalScalar const k, OT::NumericalScalar const q) -> OT::NumericalScalar
"""
return _dist_bundle1.DistFunc_qGamma(*args)
if _newclass:qGamma = staticmethod(qGamma)
__swig_getmethods__["qGamma"] = lambda x: qGamma
def rGamma(*args):
"""rGamma(OT::NumericalScalar const k) -> OT::NumericalScalar"""
return _dist_bundle1.DistFunc_rGamma(*args)
if _newclass:rGamma = staticmethod(rGamma)
__swig_getmethods__["rGamma"] = lambda x: rGamma
def pKolmogorov(*args):
"""
pKolmogorov(OT::UnsignedLong const n, OT::NumericalScalar const x, OT::Bool const tail=False) -> OT::NumericalScalar
pKolmogorov(OT::UnsignedLong const n, OT::NumericalScalar const x) -> OT::NumericalScalar
"""
return _dist_bundle1.DistFunc_pKolmogorov(*args)
if _newclass:pKolmogorov = staticmethod(pKolmogorov)
__swig_getmethods__["pKolmogorov"] = lambda x: pKolmogorov
def dNonCentralChiSquare(*args):
"""dNonCentralChiSquare(OT::NumericalScalar const nu, OT::NumericalScalar const _lambda, OT::NumericalScalar const x) -> OT::NumericalScalar"""
return _dist_bundle1.DistFunc_dNonCentralChiSquare(*args)
if _newclass:dNonCentralChiSquare = staticmethod(dNonCentralChiSquare)
__swig_getmethods__["dNonCentralChiSquare"] = lambda x: dNonCentralChiSquare
def pNonCentralChiSquare(*args):
"""
pNonCentralChiSquare(OT::NumericalScalar const nu, OT::NumericalScalar const _lambda, OT::NumericalScalar const x,
OT::Bool const tail=False) -> OT::NumericalScalar
pNonCentralChiSquare(OT::NumericalScalar const nu, OT::NumericalScalar const _lambda, OT::NumericalScalar const x) -> OT::NumericalScalar
"""
return _dist_bundle1.DistFunc_pNonCentralChiSquare(*args)
if _newclass:pNonCentralChiSquare = staticmethod(pNonCentralChiSquare)
__swig_getmethods__["pNonCentralChiSquare"] = lambda x: pNonCentralChiSquare
def rNonCentralChiSquare(*args):
"""rNonCentralChiSquare(OT::NumericalScalar const nu, OT::NumericalScalar const _lambda) -> OT::NumericalScalar"""
return _dist_bundle1.DistFunc_rNonCentralChiSquare(*args)
if _newclass:rNonCentralChiSquare = staticmethod(rNonCentralChiSquare)
__swig_getmethods__["rNonCentralChiSquare"] = lambda x: rNonCentralChiSquare
def dNonCentralStudent(*args):
"""dNonCentralStudent(OT::NumericalScalar const nu, OT::NumericalScalar const delta, OT::NumericalScalar const x) -> OT::NumericalScalar"""
return _dist_bundle1.DistFunc_dNonCentralStudent(*args)
if _newclass:dNonCentralStudent = staticmethod(dNonCentralStudent)
__swig_getmethods__["dNonCentralStudent"] = lambda x: dNonCentralStudent
def pNonCentralStudent(*args):
"""
pNonCentralStudent(OT::NumericalScalar const nu, OT::NumericalScalar const delta, OT::NumericalScalar const x,
OT::Bool const tail=False) -> OT::NumericalScalar
pNonCentralStudent(OT::NumericalScalar const nu, OT::NumericalScalar const delta, OT::NumericalScalar const x) -> OT::NumericalScalar
"""
return _dist_bundle1.DistFunc_pNonCentralStudent(*args)
if _newclass:pNonCentralStudent = staticmethod(pNonCentralStudent)
__swig_getmethods__["pNonCentralStudent"] = lambda x: pNonCentralStudent
def pNonCentralStudentAlt(*args):
"""
pNonCentralStudentAlt(OT::NumericalScalar const nu, OT::NumericalScalar const delta, OT::NumericalScalar const x,
OT::Bool const tail=False) -> OT::NumericalScalar
pNonCentralStudentAlt(OT::NumericalScalar const nu, OT::NumericalScalar const delta, OT::NumericalScalar const x) -> OT::NumericalScalar
"""
return _dist_bundle1.DistFunc_pNonCentralStudentAlt(*args)
if _newclass:pNonCentralStudentAlt = staticmethod(pNonCentralStudentAlt)
__swig_getmethods__["pNonCentralStudentAlt"] = lambda x: pNonCentralStudentAlt
def rNonCentralStudent(*args):
"""rNonCentralStudent(OT::NumericalScalar const nu, OT::NumericalScalar const delta) -> OT::NumericalScalar"""
return _dist_bundle1.DistFunc_rNonCentralStudent(*args)
if _newclass:rNonCentralStudent = staticmethod(rNonCentralStudent)
__swig_getmethods__["rNonCentralStudent"] = lambda x: rNonCentralStudent
def pNormal(*args):
"""
pNormal(OT::NumericalScalar const x, OT::Bool const tail=False) -> OT::NumericalScalar
pNormal(OT::NumericalScalar const x) -> OT::NumericalScalar
"""
return _dist_bundle1.DistFunc_pNormal(*args)
if _newclass:pNormal = staticmethod(pNormal)
__swig_getmethods__["pNormal"] = lambda x: pNormal
def pNormal2D(*args):
"""
pNormal2D(OT::NumericalScalar const x1, OT::NumericalScalar const x2, OT::NumericalScalar const rho,
OT::Bool const tail=False, OT::Bool const newAlgo=True) -> OT::NumericalScalar
pNormal2D(OT::NumericalScalar const x1, OT::NumericalScalar const x2, OT::NumericalScalar const rho,
OT::Bool const tail=False) -> OT::NumericalScalar
pNormal2D(OT::NumericalScalar const x1, OT::NumericalScalar const x2, OT::NumericalScalar const rho) -> OT::NumericalScalar
"""
return _dist_bundle1.DistFunc_pNormal2D(*args)
if _newclass:pNormal2D = staticmethod(pNormal2D)
__swig_getmethods__["pNormal2D"] = lambda x: pNormal2D
def pNormal3D(*args):
"""
pNormal3D(OT::NumericalScalar const x1, OT::NumericalScalar const x2, OT::NumericalScalar const x3,
OT::NumericalScalar const rho12, OT::NumericalScalar const rho13,
OT::NumericalScalar const rho23, OT::Bool const tail=False, OT::Bool const newAlgo=True) -> OT::NumericalScalar
pNormal3D(OT::NumericalScalar const x1, OT::NumericalScalar const x2, OT::NumericalScalar const x3,
OT::NumericalScalar const rho12, OT::NumericalScalar const rho13,
OT::NumericalScalar const rho23, OT::Bool const tail=False) -> OT::NumericalScalar
pNormal3D(OT::NumericalScalar const x1, OT::NumericalScalar const x2, OT::NumericalScalar const x3,
OT::NumericalScalar const rho12, OT::NumericalScalar const rho13,
OT::NumericalScalar const rho23) -> OT::NumericalScalar
"""
return _dist_bundle1.DistFunc_pNormal3D(*args)
if _newclass:pNormal3D = staticmethod(pNormal3D)
__swig_getmethods__["pNormal3D"] = lambda x: pNormal3D
def qNormal(*args):
"""
qNormal(OT::NumericalScalar const q, OT::Bool const tail=False) -> OT::NumericalScalar
qNormal(OT::NumericalScalar const q) -> OT::NumericalScalar
"""
return _dist_bundle1.DistFunc_qNormal(*args)
if _newclass:qNormal = staticmethod(qNormal)
__swig_getmethods__["qNormal"] = lambda x: qNormal
def rNormal():
"""rNormal() -> OT::NumericalScalar"""
return _dist_bundle1.DistFunc_rNormal()
if _newclass:rNormal = staticmethod(rNormal)
__swig_getmethods__["rNormal"] = lambda x: rNormal
def rPoisson(*args):
"""rPoisson(OT::NumericalScalar const _lambda) -> OT::NumericalScalar"""
return _dist_bundle1.DistFunc_rPoisson(*args)
if _newclass:rPoisson = staticmethod(rPoisson)
__swig_getmethods__["rPoisson"] = lambda x: rPoisson
def pStudent(*args):
"""
pStudent(OT::NumericalScalar const nu, OT::NumericalScalar const x, OT::Bool const tail=False) -> OT::NumericalScalar
pStudent(OT::NumericalScalar const nu, OT::NumericalScalar const x) -> OT::NumericalScalar
"""
return _dist_bundle1.DistFunc_pStudent(*args)
if _newclass:pStudent = staticmethod(pStudent)
__swig_getmethods__["pStudent"] = lambda x: pStudent
def qStudent(*args):
"""
qStudent(OT::NumericalScalar const nu, OT::NumericalScalar const q, OT::Bool const tail=False) -> OT::NumericalScalar
qStudent(OT::NumericalScalar const nu, OT::NumericalScalar const q) -> OT::NumericalScalar
"""
return _dist_bundle1.DistFunc_qStudent(*args)
if _newclass:qStudent = staticmethod(qStudent)
__swig_getmethods__["qStudent"] = lambda x: qStudent
def rStudent(*args):
"""rStudent(OT::NumericalScalar const nu) -> OT::NumericalScalar"""
return _dist_bundle1.DistFunc_rStudent(*args)
if _newclass:rStudent = staticmethod(rStudent)
__swig_getmethods__["rStudent"] = lambda x: rStudent
def eZ1(*args):
"""eZ1(OT::UnsignedLong const n) -> OT::NumericalScalar"""
return _dist_bundle1.DistFunc_eZ1(*args)
if _newclass:eZ1 = staticmethod(eZ1)
__swig_getmethods__["eZ1"] = lambda x: eZ1
def pDickeyFullerTrend(*args):
"""
pDickeyFullerTrend(OT::NumericalScalar const x, OT::Bool tail=False) -> OT::NumericalScalar
pDickeyFullerTrend(OT::NumericalScalar const x) -> OT::NumericalScalar
"""
return _dist_bundle1.DistFunc_pDickeyFullerTrend(*args)
if _newclass:pDickeyFullerTrend = staticmethod(pDickeyFullerTrend)
__swig_getmethods__["pDickeyFullerTrend"] = lambda x: pDickeyFullerTrend
def pDickeyFullerConstant(*args):
"""
pDickeyFullerConstant(OT::NumericalScalar const x, OT::Bool tail=False) -> OT::NumericalScalar
pDickeyFullerConstant(OT::NumericalScalar const x) -> OT::NumericalScalar
"""
return _dist_bundle1.DistFunc_pDickeyFullerConstant(*args)
if _newclass:pDickeyFullerConstant = staticmethod(pDickeyFullerConstant)
__swig_getmethods__["pDickeyFullerConstant"] = lambda x: pDickeyFullerConstant
def pDickeyFullerNoConstant(*args):
"""
pDickeyFullerNoConstant(OT::NumericalScalar const x, OT::Bool tail=False) -> OT::NumericalScalar
pDickeyFullerNoConstant(OT::NumericalScalar const x) -> OT::NumericalScalar
"""
return _dist_bundle1.DistFunc_pDickeyFullerNoConstant(*args)
if _newclass:pDickeyFullerNoConstant = staticmethod(pDickeyFullerNoConstant)
__swig_getmethods__["pDickeyFullerNoConstant"] = lambda x: pDickeyFullerNoConstant
def qDickeyFullerTrend(*args):
"""
qDickeyFullerTrend(OT::NumericalScalar const q, OT::Bool tail=False) -> OT::NumericalScalar
qDickeyFullerTrend(OT::NumericalScalar const q) -> OT::NumericalScalar
"""
return _dist_bundle1.DistFunc_qDickeyFullerTrend(*args)
if _newclass:qDickeyFullerTrend = staticmethod(qDickeyFullerTrend)
__swig_getmethods__["qDickeyFullerTrend"] = lambda x: qDickeyFullerTrend
def qDickeyFullerConstant(*args):
"""
qDickeyFullerConstant(OT::NumericalScalar const q, OT::Bool tail=False) -> OT::NumericalScalar
qDickeyFullerConstant(OT::NumericalScalar const q) -> OT::NumericalScalar
"""
return _dist_bundle1.DistFunc_qDickeyFullerConstant(*args)
if _newclass:qDickeyFullerConstant = staticmethod(qDickeyFullerConstant)
__swig_getmethods__["qDickeyFullerConstant"] = lambda x: qDickeyFullerConstant
def qDickeyFullerNoConstant(*args):
"""
qDickeyFullerNoConstant(OT::NumericalScalar const q, OT::Bool tail=False) -> OT::NumericalScalar
qDickeyFullerNoConstant(OT::NumericalScalar const q) -> OT::NumericalScalar
"""
return _dist_bundle1.DistFunc_qDickeyFullerNoConstant(*args)
if _newclass:qDickeyFullerNoConstant = staticmethod(qDickeyFullerNoConstant)
__swig_getmethods__["qDickeyFullerNoConstant"] = lambda x: qDickeyFullerNoConstant
def __init__(self, *args):
"""__init__(OT::DistFunc self, DistFunc other) -> DistFunc"""
this = _dist_bundle1.new_DistFunc(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _dist_bundle1.delete_DistFunc
__del__ = lambda self : None;
DistFunc_swigregister = _dist_bundle1.DistFunc_swigregister
DistFunc_swigregister(DistFunc)
cvar = _dist_bundle1.cvar
DistFunc.NumberOfBandNormalZigurrat = _dist_bundle1.cvar.DistFunc_NumberOfBandNormalZigurrat
DistFunc.NormalZigguratTail = _dist_bundle1.cvar.DistFunc_NormalZigguratTail
DistFunc.NormalZigguratAbscissa = _dist_bundle1.cvar.DistFunc_NormalZigguratAbscissa
DistFunc.NormalZigguratRatio = _dist_bundle1.cvar.DistFunc_NormalZigguratRatio
def DistFunc_pBeta(*args):
"""
pBeta(OT::NumericalScalar const p1, OT::NumericalScalar const p2, OT::NumericalScalar const x,
OT::Bool const tail=False) -> OT::NumericalScalar
DistFunc_pBeta(OT::NumericalScalar const p1, OT::NumericalScalar const p2, OT::NumericalScalar const x) -> OT::NumericalScalar
"""
return _dist_bundle1.DistFunc_pBeta(*args)
def DistFunc_qBeta(*args):
"""
qBeta(OT::NumericalScalar const p1, OT::NumericalScalar const p2, OT::NumericalScalar const q,
OT::Bool const tail=False) -> OT::NumericalScalar
DistFunc_qBeta(OT::NumericalScalar const p1, OT::NumericalScalar const p2, OT::NumericalScalar const q) -> OT::NumericalScalar
"""
return _dist_bundle1.DistFunc_qBeta(*args)
def DistFunc_rBeta(*args):
"""DistFunc_rBeta(OT::NumericalScalar const p1, OT::NumericalScalar const p2) -> OT::NumericalScalar"""
return _dist_bundle1.DistFunc_rBeta(*args)
def DistFunc_rBinomial(*args):
"""DistFunc_rBinomial(OT::UnsignedLong const n, OT::NumericalScalar const p) -> OT::UnsignedLong"""
return _dist_bundle1.DistFunc_rBinomial(*args)
def DistFunc_pGamma(*args):
"""
pGamma(OT::NumericalScalar const k, OT::NumericalScalar const x, OT::Bool const tail=False) -> OT::NumericalScalar
DistFunc_pGamma(OT::NumericalScalar const k, OT::NumericalScalar const x) -> OT::NumericalScalar
"""
return _dist_bundle1.DistFunc_pGamma(*args)
def DistFunc_qGamma(*args):
"""
qGamma(OT::NumericalScalar const k, OT::NumericalScalar const q, OT::Bool const tail=False) -> OT::NumericalScalar
DistFunc_qGamma(OT::NumericalScalar const k, OT::NumericalScalar const q) -> OT::NumericalScalar
"""
return _dist_bundle1.DistFunc_qGamma(*args)
def DistFunc_rGamma(*args):
"""DistFunc_rGamma(OT::NumericalScalar const k) -> OT::NumericalScalar"""
return _dist_bundle1.DistFunc_rGamma(*args)
def DistFunc_pKolmogorov(*args):
"""
pKolmogorov(OT::UnsignedLong const n, OT::NumericalScalar const x, OT::Bool const tail=False) -> OT::NumericalScalar
DistFunc_pKolmogorov(OT::UnsignedLong const n, OT::NumericalScalar const x) -> OT::NumericalScalar
"""
return _dist_bundle1.DistFunc_pKolmogorov(*args)
def DistFunc_dNonCentralChiSquare(*args):
"""DistFunc_dNonCentralChiSquare(OT::NumericalScalar const nu, OT::NumericalScalar const _lambda, OT::NumericalScalar const x) -> OT::NumericalScalar"""
return _dist_bundle1.DistFunc_dNonCentralChiSquare(*args)
def DistFunc_pNonCentralChiSquare(*args):
"""
pNonCentralChiSquare(OT::NumericalScalar const nu, OT::NumericalScalar const _lambda, OT::NumericalScalar const x,
OT::Bool const tail=False) -> OT::NumericalScalar
DistFunc_pNonCentralChiSquare(OT::NumericalScalar const nu, OT::NumericalScalar const _lambda, OT::NumericalScalar const x) -> OT::NumericalScalar
"""
return _dist_bundle1.DistFunc_pNonCentralChiSquare(*args)
def DistFunc_rNonCentralChiSquare(*args):
"""DistFunc_rNonCentralChiSquare(OT::NumericalScalar const nu, OT::NumericalScalar const _lambda) -> OT::NumericalScalar"""
return _dist_bundle1.DistFunc_rNonCentralChiSquare(*args)
def DistFunc_dNonCentralStudent(*args):
"""DistFunc_dNonCentralStudent(OT::NumericalScalar const nu, OT::NumericalScalar const delta, OT::NumericalScalar const x) -> OT::NumericalScalar"""
return _dist_bundle1.DistFunc_dNonCentralStudent(*args)
def DistFunc_pNonCentralStudent(*args):
"""
pNonCentralStudent(OT::NumericalScalar const nu, OT::NumericalScalar const delta, OT::NumericalScalar const x,
OT::Bool const tail=False) -> OT::NumericalScalar
DistFunc_pNonCentralStudent(OT::NumericalScalar const nu, OT::NumericalScalar const delta, OT::NumericalScalar const x) -> OT::NumericalScalar
"""
return _dist_bundle1.DistFunc_pNonCentralStudent(*args)
def DistFunc_pNonCentralStudentAlt(*args):
"""
pNonCentralStudentAlt(OT::NumericalScalar const nu, OT::NumericalScalar const delta, OT::NumericalScalar const x,
OT::Bool const tail=False) -> OT::NumericalScalar
DistFunc_pNonCentralStudentAlt(OT::NumericalScalar const nu, OT::NumericalScalar const delta, OT::NumericalScalar const x) -> OT::NumericalScalar
"""
return _dist_bundle1.DistFunc_pNonCentralStudentAlt(*args)
def DistFunc_rNonCentralStudent(*args):
"""DistFunc_rNonCentralStudent(OT::NumericalScalar const nu, OT::NumericalScalar const delta) -> OT::NumericalScalar"""
return _dist_bundle1.DistFunc_rNonCentralStudent(*args)
def DistFunc_pNormal(*args):
"""
pNormal(OT::NumericalScalar const x, OT::Bool const tail=False) -> OT::NumericalScalar
DistFunc_pNormal(OT::NumericalScalar const x) -> OT::NumericalScalar
"""
return _dist_bundle1.DistFunc_pNormal(*args)
def DistFunc_pNormal2D(*args):
"""
pNormal2D(OT::NumericalScalar const x1, OT::NumericalScalar const x2, OT::NumericalScalar const rho,
OT::Bool const tail=False, OT::Bool const newAlgo=True) -> OT::NumericalScalar
pNormal2D(OT::NumericalScalar const x1, OT::NumericalScalar const x2, OT::NumericalScalar const rho,
OT::Bool const tail=False) -> OT::NumericalScalar
DistFunc_pNormal2D(OT::NumericalScalar const x1, OT::NumericalScalar const x2, OT::NumericalScalar const rho) -> OT::NumericalScalar
"""
return _dist_bundle1.DistFunc_pNormal2D(*args)
def DistFunc_pNormal3D(*args):
"""
pNormal3D(OT::NumericalScalar const x1, OT::NumericalScalar const x2, OT::NumericalScalar const x3,
OT::NumericalScalar const rho12, OT::NumericalScalar const rho13,
OT::NumericalScalar const rho23, OT::Bool const tail=False, OT::Bool const newAlgo=True) -> OT::NumericalScalar
pNormal3D(OT::NumericalScalar const x1, OT::NumericalScalar const x2, OT::NumericalScalar const x3,
OT::NumericalScalar const rho12, OT::NumericalScalar const rho13,
OT::NumericalScalar const rho23, OT::Bool const tail=False) -> OT::NumericalScalar
DistFunc_pNormal3D(OT::NumericalScalar const x1, OT::NumericalScalar const x2, OT::NumericalScalar const x3,
OT::NumericalScalar const rho12, OT::NumericalScalar const rho13,
OT::NumericalScalar const rho23) -> OT::NumericalScalar
"""
return _dist_bundle1.DistFunc_pNormal3D(*args)
def DistFunc_qNormal(*args):
"""
qNormal(OT::NumericalScalar const q, OT::Bool const tail=False) -> OT::NumericalScalar
DistFunc_qNormal(OT::NumericalScalar const q) -> OT::NumericalScalar
"""
return _dist_bundle1.DistFunc_qNormal(*args)
def DistFunc_rNormal():
"""DistFunc_rNormal() -> OT::NumericalScalar"""
return _dist_bundle1.DistFunc_rNormal()
def DistFunc_rPoisson(*args):
"""DistFunc_rPoisson(OT::NumericalScalar const _lambda) -> OT::NumericalScalar"""
return _dist_bundle1.DistFunc_rPoisson(*args)
def DistFunc_pStudent(*args):
"""
pStudent(OT::NumericalScalar const nu, OT::NumericalScalar const x, OT::Bool const tail=False) -> OT::NumericalScalar
DistFunc_pStudent(OT::NumericalScalar const nu, OT::NumericalScalar const x) -> OT::NumericalScalar
"""
return _dist_bundle1.DistFunc_pStudent(*args)
def DistFunc_qStudent(*args):
"""
qStudent(OT::NumericalScalar const nu, OT::NumericalScalar const q, OT::Bool const tail=False) -> OT::NumericalScalar
DistFunc_qStudent(OT::NumericalScalar const nu, OT::NumericalScalar const q) -> OT::NumericalScalar
"""
return _dist_bundle1.DistFunc_qStudent(*args)
def DistFunc_rStudent(*args):
"""DistFunc_rStudent(OT::NumericalScalar const nu) -> OT::NumericalScalar"""
return _dist_bundle1.DistFunc_rStudent(*args)
def DistFunc_eZ1(*args):
"""DistFunc_eZ1(OT::UnsignedLong const n) -> OT::NumericalScalar"""
return _dist_bundle1.DistFunc_eZ1(*args)
def DistFunc_pDickeyFullerTrend(*args):
"""
pDickeyFullerTrend(OT::NumericalScalar const x, OT::Bool tail=False) -> OT::NumericalScalar
DistFunc_pDickeyFullerTrend(OT::NumericalScalar const x) -> OT::NumericalScalar
"""
return _dist_bundle1.DistFunc_pDickeyFullerTrend(*args)
def DistFunc_pDickeyFullerConstant(*args):
"""
pDickeyFullerConstant(OT::NumericalScalar const x, OT::Bool tail=False) -> OT::NumericalScalar
DistFunc_pDickeyFullerConstant(OT::NumericalScalar const x) -> OT::NumericalScalar
"""
return _dist_bundle1.DistFunc_pDickeyFullerConstant(*args)
def DistFunc_pDickeyFullerNoConstant(*args):
"""
pDickeyFullerNoConstant(OT::NumericalScalar const x, OT::Bool tail=False) -> OT::NumericalScalar
DistFunc_pDickeyFullerNoConstant(OT::NumericalScalar const x) -> OT::NumericalScalar
"""
return _dist_bundle1.DistFunc_pDickeyFullerNoConstant(*args)
def DistFunc_qDickeyFullerTrend(*args):
"""
qDickeyFullerTrend(OT::NumericalScalar const q, OT::Bool tail=False) -> OT::NumericalScalar
DistFunc_qDickeyFullerTrend(OT::NumericalScalar const q) -> OT::NumericalScalar
"""
return _dist_bundle1.DistFunc_qDickeyFullerTrend(*args)
def DistFunc_qDickeyFullerConstant(*args):
"""
qDickeyFullerConstant(OT::NumericalScalar const q, OT::Bool tail=False) -> OT::NumericalScalar
DistFunc_qDickeyFullerConstant(OT::NumericalScalar const q) -> OT::NumericalScalar
"""
return _dist_bundle1.DistFunc_qDickeyFullerConstant(*args)
def DistFunc_qDickeyFullerNoConstant(*args):
"""
qDickeyFullerNoConstant(OT::NumericalScalar const q, OT::Bool tail=False) -> OT::NumericalScalar
DistFunc_qDickeyFullerNoConstant(OT::NumericalScalar const q) -> OT::NumericalScalar
"""
return _dist_bundle1.DistFunc_qDickeyFullerNoConstant(*args)
class Arcsine(openturns.model_copula.NonEllipticalDistribution):
"""Proxy of C++ OT::Arcsine class"""
__swig_setmethods__ = {}
for _s in [openturns.model_copula.NonEllipticalDistribution]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, Arcsine, name, value)
__swig_getmethods__ = {}
for _s in [openturns.model_copula.NonEllipticalDistribution]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, Arcsine, name)
def GetClassName():
"""GetClassName() -> OT::String"""
return _dist_bundle1.Arcsine_GetClassName()
if _newclass:GetClassName = staticmethod(GetClassName)
__swig_getmethods__["GetClassName"] = lambda x: GetClassName
def getClassName(self):
"""getClassName(Arcsine self) -> OT::String"""
return _dist_bundle1.Arcsine_getClassName(self)
AB = _dist_bundle1.Arcsine_AB
MUSIGMA = _dist_bundle1.Arcsine_MUSIGMA
def __eq__(self, *args):
"""__eq__(Arcsine self, Arcsine other) -> OT::Bool"""
return _dist_bundle1.Arcsine___eq__(self, *args)
def __repr__(self):
"""__repr__(Arcsine self) -> OT::String"""
return _dist_bundle1.Arcsine___repr__(self)
def __str__(self, offset=""):
"""
__str__(Arcsine self, OT::String const & offset="") -> OT::String
__str__(Arcsine self) -> OT::String
"""
return _dist_bundle1.Arcsine___str__(self, offset)
def getRealization(self):
"""getRealization(Arcsine self) -> NumericalPoint"""
return _dist_bundle1.Arcsine_getRealization(self)
def computeDDF(self, *args):
"""
computeDDF(Arcsine self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeDDF(Arcsine self, NumericalPoint point) -> NumericalPoint
computeDDF(Arcsine self, NumericalSample sample) -> NumericalSample
computeDDF(Arcsine self, NumericalPoint point) -> NumericalPoint
"""
return _dist_bundle1.Arcsine_computeDDF(self, *args)
def computePDF(self, *args):
"""
computePDF(Arcsine self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computePDF(Arcsine self, NumericalPoint point) -> OT::NumericalScalar
computePDF(Arcsine self, NumericalSample sample) -> NumericalSample
computePDF(Arcsine self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultPDFEpsilon")) -> NumericalSample
computePDF(Arcsine self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computePDF(Arcsine self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid,
OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultPDFEpsilon")) -> NumericalSample
computePDF(Arcsine self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
computePDF(Arcsine self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle1.Arcsine_computePDF(self, *args)
def computeLogPDF(self, *args):
"""
computeLogPDF(Arcsine self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeLogPDF(Arcsine self, NumericalPoint point) -> OT::NumericalScalar
computeLogPDF(Arcsine self, NumericalSample sample) -> NumericalSample
computeLogPDF(Arcsine self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle1.Arcsine_computeLogPDF(self, *args)
def computeCDF(self, *args):
"""
computeCDF(Arcsine self, OT::NumericalScalar const scalar, OT::Bool const tail) -> OT::NumericalScalar
computeCDF(Arcsine self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeCDF(Arcsine self, NumericalPoint point, OT::Bool const tail) -> OT::NumericalScalar
computeCDF(Arcsine self, NumericalPoint point) -> OT::NumericalScalar
computeCDF(Arcsine self, NumericalSample sample, OT::Bool const tail) -> NumericalSample
computeCDF(Arcsine self, NumericalSample sample) -> NumericalSample
computeCDF(Arcsine self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
computeCDF(Arcsine self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computeCDF(Arcsine self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid,
OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
computeCDF(Arcsine self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
computeCDF(Arcsine self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle1.Arcsine_computeCDF(self, *args)
def computeComplementaryCDF(self, *args):
"""
computeComplementaryCDF(Arcsine self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeComplementaryCDF(Arcsine self, NumericalPoint point) -> OT::NumericalScalar
computeComplementaryCDF(Arcsine self, NumericalSample sample) -> NumericalSample
computeComplementaryCDF(Arcsine self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
computeComplementaryCDF(Arcsine self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computeComplementaryCDF(Arcsine self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle1.Arcsine_computeComplementaryCDF(self, *args)
def computePDFGradient(self, *args):
"""computePDFGradient(Arcsine self, NumericalPoint point) -> NumericalPoint"""
return _dist_bundle1.Arcsine_computePDFGradient(self, *args)
def computeCDFGradient(self, *args):
"""computeCDFGradient(Arcsine self, NumericalPoint point) -> NumericalPoint"""
return _dist_bundle1.Arcsine_computeCDFGradient(self, *args)
def computeScalarQuantile(self, *args):
"""
computeScalarQuantile(Arcsine self, OT::NumericalScalar const prob, OT::Bool const tail=False, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultQuantileEpsilon")) -> OT::NumericalScalar
computeScalarQuantile(Arcsine self, OT::NumericalScalar const prob, OT::Bool const tail=False) -> OT::NumericalScalar
computeScalarQuantile(Arcsine self, OT::NumericalScalar const prob) -> OT::NumericalScalar
"""
return _dist_bundle1.Arcsine_computeScalarQuantile(self, *args)
def getRoughness(self):
"""getRoughness(Arcsine self) -> OT::NumericalScalar"""
return _dist_bundle1.Arcsine_getRoughness(self)
def getStandardDeviation(self):
"""getStandardDeviation(Arcsine self) -> NumericalPoint"""
return _dist_bundle1.Arcsine_getStandardDeviation(self)
def getSkewness(self):
"""getSkewness(Arcsine self) -> NumericalPoint"""
return _dist_bundle1.Arcsine_getSkewness(self)
def getKurtosis(self):
"""getKurtosis(Arcsine self) -> NumericalPoint"""
return _dist_bundle1.Arcsine_getKurtosis(self)
def getStandardMoment(self, *args):
"""getStandardMoment(Arcsine self, OT::UnsignedLong const n) -> NumericalPoint"""
return _dist_bundle1.Arcsine_getStandardMoment(self, *args)
def getStandardRepresentative(self):
"""getStandardRepresentative(Arcsine self) -> DistributionImplementationPointer"""
return _dist_bundle1.Arcsine_getStandardRepresentative(self)
def getParametersCollection(self):
"""getParametersCollection(Arcsine self) -> NumericalPointWithDescriptionCollection"""
return _dist_bundle1.Arcsine_getParametersCollection(self)
def setParametersCollection(self, *args):
"""
setParametersCollection(Arcsine self, NumericalPointWithDescriptionCollection parametersCollection)
setParametersCollection(Arcsine self, NumericalPointCollection parametersCollection)
setParametersCollection(Arcsine self, NumericalPoint parameters)
setParametersCollection(Arcsine self, NumericalPointCollection parametersCollection)
"""
return _dist_bundle1.Arcsine_setParametersCollection(self, *args)
def setA(self, *args):
"""setA(Arcsine self, OT::NumericalScalar const a)"""
return _dist_bundle1.Arcsine_setA(self, *args)
def getA(self):
"""getA(Arcsine self) -> OT::NumericalScalar"""
return _dist_bundle1.Arcsine_getA(self)
def setB(self, *args):
"""setB(Arcsine self, OT::NumericalScalar const b)"""
return _dist_bundle1.Arcsine_setB(self, *args)
def getB(self):
"""getB(Arcsine self) -> OT::NumericalScalar"""
return _dist_bundle1.Arcsine_getB(self)
def setMu(self, *args):
"""setMu(Arcsine self, OT::NumericalScalar const mu)"""
return _dist_bundle1.Arcsine_setMu(self, *args)
def getMu(self):
"""getMu(Arcsine self) -> OT::NumericalScalar"""
return _dist_bundle1.Arcsine_getMu(self)
def setSigma(self, *args):
"""setSigma(Arcsine self, OT::NumericalScalar const sigma)"""
return _dist_bundle1.Arcsine_setSigma(self, *args)
def getSigma(self):
"""getSigma(Arcsine self) -> OT::NumericalScalar"""
return _dist_bundle1.Arcsine_getSigma(self)
def __init__(self, *args):
"""
__init__(OT::Arcsine self) -> Arcsine
__init__(OT::Arcsine self, OT::NumericalScalar const arg1, OT::NumericalScalar const arg2, OT::Arcsine::ParameterSet const set=AB) -> Arcsine
__init__(OT::Arcsine self, OT::NumericalScalar const arg1, OT::NumericalScalar const arg2) -> Arcsine
__init__(OT::Arcsine self, Arcsine other) -> Arcsine
"""
this = _dist_bundle1.new_Arcsine(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _dist_bundle1.delete_Arcsine
__del__ = lambda self : None;
Arcsine_swigregister = _dist_bundle1.Arcsine_swigregister
Arcsine_swigregister(Arcsine)
def Arcsine_GetClassName():
"""Arcsine_GetClassName() -> OT::String"""
return _dist_bundle1.Arcsine_GetClassName()
class ArcsineFactory(openturns.model_copula.DistributionImplementationFactory):
"""Proxy of C++ OT::ArcsineFactory class"""
__swig_setmethods__ = {}
for _s in [openturns.model_copula.DistributionImplementationFactory]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, ArcsineFactory, name, value)
__swig_getmethods__ = {}
for _s in [openturns.model_copula.DistributionImplementationFactory]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, ArcsineFactory, name)
__repr__ = _swig_repr
def GetClassName():
"""GetClassName() -> OT::String"""
return _dist_bundle1.ArcsineFactory_GetClassName()
if _newclass:GetClassName = staticmethod(GetClassName)
__swig_getmethods__["GetClassName"] = lambda x: GetClassName
def getClassName(self):
"""getClassName(ArcsineFactory self) -> OT::String"""
return _dist_bundle1.ArcsineFactory_getClassName(self)
def build(self, *args):
"""
build(ArcsineFactory self, NumericalSample sample) -> DistributionImplementationPointer
build(ArcsineFactory self, NumericalSample sample, CovarianceMatrix covariance) -> DistributionImplementationPointer
build(ArcsineFactory self, NumericalPointCollection parameters) -> DistributionImplementationPointer
build(ArcsineFactory self, NumericalPointWithDescriptionCollection parameters) -> DistributionImplementationPointer
build(ArcsineFactory self, NumericalSample sample) -> DistributionImplementationPointer
build(ArcsineFactory self, NumericalPointCollection parameters) -> DistributionImplementationPointer
build(ArcsineFactory self) -> DistributionImplementationPointer
"""
return _dist_bundle1.ArcsineFactory_build(self, *args)
def buildAsArcsine(self, *args):
"""
buildAsArcsine(ArcsineFactory self, NumericalSample sample) -> Arcsine
buildAsArcsine(ArcsineFactory self, NumericalPointCollection parameters) -> Arcsine
buildAsArcsine(ArcsineFactory self, NumericalPointWithDescriptionCollection parameters) -> Arcsine
buildAsArcsine(ArcsineFactory self) -> Arcsine
"""
return _dist_bundle1.ArcsineFactory_buildAsArcsine(self, *args)
def __init__(self, *args):
"""
__init__(OT::ArcsineFactory self) -> ArcsineFactory
__init__(OT::ArcsineFactory self, ArcsineFactory other) -> ArcsineFactory
"""
this = _dist_bundle1.new_ArcsineFactory(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _dist_bundle1.delete_ArcsineFactory
__del__ = lambda self : None;
ArcsineFactory_swigregister = _dist_bundle1.ArcsineFactory_swigregister
ArcsineFactory_swigregister(ArcsineFactory)
def ArcsineFactory_GetClassName():
"""ArcsineFactory_GetClassName() -> OT::String"""
return _dist_bundle1.ArcsineFactory_GetClassName()
class Bernoulli(openturns.model_copula.DiscreteDistribution):
"""Proxy of C++ OT::Bernoulli class"""
__swig_setmethods__ = {}
for _s in [openturns.model_copula.DiscreteDistribution]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, Bernoulli, name, value)
__swig_getmethods__ = {}
for _s in [openturns.model_copula.DiscreteDistribution]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, Bernoulli, name)
def GetClassName():
"""GetClassName() -> OT::String"""
return _dist_bundle1.Bernoulli_GetClassName()
if _newclass:GetClassName = staticmethod(GetClassName)
__swig_getmethods__["GetClassName"] = lambda x: GetClassName
def getClassName(self):
"""getClassName(Bernoulli self) -> OT::String"""
return _dist_bundle1.Bernoulli_getClassName(self)
def __eq__(self, *args):
"""__eq__(Bernoulli self, Bernoulli other) -> OT::Bool"""
return _dist_bundle1.Bernoulli___eq__(self, *args)
def __repr__(self):
"""__repr__(Bernoulli self) -> OT::String"""
return _dist_bundle1.Bernoulli___repr__(self)
def __str__(self, offset=""):
"""
__str__(Bernoulli self, OT::String const & offset="") -> OT::String
__str__(Bernoulli self) -> OT::String
"""
return _dist_bundle1.Bernoulli___str__(self, offset)
def getRealization(self):
"""getRealization(Bernoulli self) -> NumericalPoint"""
return _dist_bundle1.Bernoulli_getRealization(self)
def computePDF(self, *args):
"""
computePDF(Bernoulli self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computePDF(Bernoulli self, NumericalPoint point) -> OT::NumericalScalar
computePDF(Bernoulli self, NumericalSample sample) -> NumericalSample
computePDF(Bernoulli self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultPDFEpsilon")) -> NumericalSample
computePDF(Bernoulli self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computePDF(Bernoulli self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid,
OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultPDFEpsilon")) -> NumericalSample
computePDF(Bernoulli self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
computePDF(Bernoulli self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle1.Bernoulli_computePDF(self, *args)
def computeCDF(self, *args):
"""
computeCDF(Bernoulli self, OT::NumericalScalar const scalar, OT::Bool const tail) -> OT::NumericalScalar
computeCDF(Bernoulli self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeCDF(Bernoulli self, NumericalPoint point, OT::Bool const tail) -> OT::NumericalScalar
computeCDF(Bernoulli self, NumericalPoint point) -> OT::NumericalScalar
computeCDF(Bernoulli self, NumericalSample sample, OT::Bool const tail) -> NumericalSample
computeCDF(Bernoulli self, NumericalSample sample) -> NumericalSample
computeCDF(Bernoulli self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
computeCDF(Bernoulli self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computeCDF(Bernoulli self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid,
OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
computeCDF(Bernoulli self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
computeCDF(Bernoulli self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle1.Bernoulli_computeCDF(self, *args)
def computePDFGradient(self, *args):
"""computePDFGradient(Bernoulli self, NumericalPoint point) -> NumericalPoint"""
return _dist_bundle1.Bernoulli_computePDFGradient(self, *args)
def computeCDFGradient(self, *args):
"""computeCDFGradient(Bernoulli self, NumericalPoint point) -> NumericalPoint"""
return _dist_bundle1.Bernoulli_computeCDFGradient(self, *args)
def computeCharacteristicFunction(self, *args):
"""computeCharacteristicFunction(Bernoulli self, OT::NumericalScalar const x) -> OT::NumericalComplex"""
return _dist_bundle1.Bernoulli_computeCharacteristicFunction(self, *args)
def computeGeneratingFunction(self, *args):
"""computeGeneratingFunction(Bernoulli self, OT::NumericalComplex const & z) -> OT::NumericalComplex"""
return _dist_bundle1.Bernoulli_computeGeneratingFunction(self, *args)
def getSupport(self, *args):
"""
getSupport(Bernoulli self, Interval interval) -> NumericalSample
getSupport(Bernoulli self) -> NumericalSample
getSupport(Bernoulli self, Interval interval) -> NumericalSample
"""
return _dist_bundle1.Bernoulli_getSupport(self, *args)
def getStandardDeviation(self):
"""getStandardDeviation(Bernoulli self) -> NumericalPoint"""
return _dist_bundle1.Bernoulli_getStandardDeviation(self)
def getSkewness(self):
"""getSkewness(Bernoulli self) -> NumericalPoint"""
return _dist_bundle1.Bernoulli_getSkewness(self)
def getKurtosis(self):
"""getKurtosis(Bernoulli self) -> NumericalPoint"""
return _dist_bundle1.Bernoulli_getKurtosis(self)
def getStandardMoment(self, *args):
"""getStandardMoment(Bernoulli self, OT::UnsignedLong const n) -> NumericalPoint"""
return _dist_bundle1.Bernoulli_getStandardMoment(self, *args)
def getParametersCollection(self):
"""getParametersCollection(Bernoulli self) -> NumericalPointWithDescriptionCollection"""
return _dist_bundle1.Bernoulli_getParametersCollection(self)
def setParametersCollection(self, *args):
"""
setParametersCollection(Bernoulli self, NumericalPointWithDescriptionCollection parametersCollection)
setParametersCollection(Bernoulli self, NumericalPointCollection parametersCollection)
setParametersCollection(Bernoulli self, NumericalPoint parameters)
setParametersCollection(Bernoulli self, NumericalPointCollection parametersCollection)
"""
return _dist_bundle1.Bernoulli_setParametersCollection(self, *args)
def setP(self, *args):
"""setP(Bernoulli self, OT::NumericalScalar const p)"""
return _dist_bundle1.Bernoulli_setP(self, *args)
def getP(self):
"""getP(Bernoulli self) -> OT::NumericalScalar"""
return _dist_bundle1.Bernoulli_getP(self)
def __init__(self, *args):
"""
__init__(OT::Bernoulli self) -> Bernoulli
__init__(OT::Bernoulli self, OT::NumericalScalar const p) -> Bernoulli
__init__(OT::Bernoulli self, Bernoulli other) -> Bernoulli
"""
this = _dist_bundle1.new_Bernoulli(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _dist_bundle1.delete_Bernoulli
__del__ = lambda self : None;
Bernoulli_swigregister = _dist_bundle1.Bernoulli_swigregister
Bernoulli_swigregister(Bernoulli)
def Bernoulli_GetClassName():
"""Bernoulli_GetClassName() -> OT::String"""
return _dist_bundle1.Bernoulli_GetClassName()
class BernoulliFactory(openturns.model_copula.DistributionImplementationFactory):
"""Proxy of C++ OT::BernoulliFactory class"""
__swig_setmethods__ = {}
for _s in [openturns.model_copula.DistributionImplementationFactory]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, BernoulliFactory, name, value)
__swig_getmethods__ = {}
for _s in [openturns.model_copula.DistributionImplementationFactory]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, BernoulliFactory, name)
__repr__ = _swig_repr
def GetClassName():
"""GetClassName() -> OT::String"""
return _dist_bundle1.BernoulliFactory_GetClassName()
if _newclass:GetClassName = staticmethod(GetClassName)
__swig_getmethods__["GetClassName"] = lambda x: GetClassName
def getClassName(self):
"""getClassName(BernoulliFactory self) -> OT::String"""
return _dist_bundle1.BernoulliFactory_getClassName(self)
def build(self, *args):
"""
build(BernoulliFactory self, NumericalSample sample) -> DistributionImplementationPointer
build(BernoulliFactory self, NumericalSample sample, CovarianceMatrix covariance) -> DistributionImplementationPointer
build(BernoulliFactory self, NumericalPointCollection parameters) -> DistributionImplementationPointer
build(BernoulliFactory self, NumericalPointWithDescriptionCollection parameters) -> DistributionImplementationPointer
build(BernoulliFactory self, NumericalSample sample) -> DistributionImplementationPointer
build(BernoulliFactory self, NumericalPointCollection parameters) -> DistributionImplementationPointer
build(BernoulliFactory self) -> DistributionImplementationPointer
"""
return _dist_bundle1.BernoulliFactory_build(self, *args)
def buildAsBernoulli(self, *args):
"""
buildAsBernoulli(BernoulliFactory self, NumericalSample sample) -> Bernoulli
buildAsBernoulli(BernoulliFactory self, NumericalPointCollection parameters) -> Bernoulli
buildAsBernoulli(BernoulliFactory self, NumericalPointWithDescriptionCollection parameters) -> Bernoulli
buildAsBernoulli(BernoulliFactory self) -> Bernoulli
"""
return _dist_bundle1.BernoulliFactory_buildAsBernoulli(self, *args)
def __init__(self, *args):
"""
__init__(OT::BernoulliFactory self) -> BernoulliFactory
__init__(OT::BernoulliFactory self, BernoulliFactory other) -> BernoulliFactory
"""
this = _dist_bundle1.new_BernoulliFactory(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _dist_bundle1.delete_BernoulliFactory
__del__ = lambda self : None;
BernoulliFactory_swigregister = _dist_bundle1.BernoulliFactory_swigregister
BernoulliFactory_swigregister(BernoulliFactory)
def BernoulliFactory_GetClassName():
"""BernoulliFactory_GetClassName() -> OT::String"""
return _dist_bundle1.BernoulliFactory_GetClassName()
class Beta(openturns.model_copula.NonEllipticalDistribution):
"""Proxy of C++ OT::Beta class"""
__swig_setmethods__ = {}
for _s in [openturns.model_copula.NonEllipticalDistribution]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, Beta, name, value)
__swig_getmethods__ = {}
for _s in [openturns.model_copula.NonEllipticalDistribution]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, Beta, name)
def GetClassName():
"""GetClassName() -> OT::String"""
return _dist_bundle1.Beta_GetClassName()
if _newclass:GetClassName = staticmethod(GetClassName)
__swig_getmethods__["GetClassName"] = lambda x: GetClassName
def getClassName(self):
"""getClassName(Beta self) -> OT::String"""
return _dist_bundle1.Beta_getClassName(self)
RT = _dist_bundle1.Beta_RT
MUSIGMA = _dist_bundle1.Beta_MUSIGMA
def __eq__(self, *args):
"""__eq__(Beta self, Beta other) -> OT::Bool"""
return _dist_bundle1.Beta___eq__(self, *args)
def __repr__(self):
"""__repr__(Beta self) -> OT::String"""
return _dist_bundle1.Beta___repr__(self)
def __str__(self, offset=""):
"""
__str__(Beta self, OT::String const & offset="") -> OT::String
__str__(Beta self) -> OT::String
"""
return _dist_bundle1.Beta___str__(self, offset)
def getRealization(self):
"""getRealization(Beta self) -> NumericalPoint"""
return _dist_bundle1.Beta_getRealization(self)
def computeDDF(self, *args):
"""
computeDDF(Beta self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeDDF(Beta self, NumericalPoint point) -> NumericalPoint
computeDDF(Beta self, NumericalSample sample) -> NumericalSample
computeDDF(Beta self, NumericalPoint point) -> NumericalPoint
"""
return _dist_bundle1.Beta_computeDDF(self, *args)
def computePDF(self, *args):
"""
computePDF(Beta self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computePDF(Beta self, NumericalPoint point) -> OT::NumericalScalar
computePDF(Beta self, NumericalSample sample) -> NumericalSample
computePDF(Beta self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultPDFEpsilon")) -> NumericalSample
computePDF(Beta self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computePDF(Beta self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid,
OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultPDFEpsilon")) -> NumericalSample
computePDF(Beta self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
computePDF(Beta self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle1.Beta_computePDF(self, *args)
def computeLogPDF(self, *args):
"""
computeLogPDF(Beta self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeLogPDF(Beta self, NumericalPoint point) -> OT::NumericalScalar
computeLogPDF(Beta self, NumericalSample sample) -> NumericalSample
computeLogPDF(Beta self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle1.Beta_computeLogPDF(self, *args)
def computeCDF(self, *args):
"""
computeCDF(Beta self, OT::NumericalScalar const scalar, OT::Bool const tail) -> OT::NumericalScalar
computeCDF(Beta self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeCDF(Beta self, NumericalPoint point, OT::Bool const tail) -> OT::NumericalScalar
computeCDF(Beta self, NumericalPoint point) -> OT::NumericalScalar
computeCDF(Beta self, NumericalSample sample, OT::Bool const tail) -> NumericalSample
computeCDF(Beta self, NumericalSample sample) -> NumericalSample
computeCDF(Beta self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
computeCDF(Beta self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computeCDF(Beta self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid,
OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
computeCDF(Beta self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
computeCDF(Beta self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle1.Beta_computeCDF(self, *args)
def computePDFGradient(self, *args):
"""computePDFGradient(Beta self, NumericalPoint point) -> NumericalPoint"""
return _dist_bundle1.Beta_computePDFGradient(self, *args)
def computeCDFGradient(self, *args):
"""computeCDFGradient(Beta self, NumericalPoint point) -> NumericalPoint"""
return _dist_bundle1.Beta_computeCDFGradient(self, *args)
def computeCharacteristicFunction(self, *args):
"""computeCharacteristicFunction(Beta self, OT::NumericalScalar const x) -> OT::NumericalComplex"""
return _dist_bundle1.Beta_computeCharacteristicFunction(self, *args)
def getRoughness(self):
"""getRoughness(Beta self) -> OT::NumericalScalar"""
return _dist_bundle1.Beta_getRoughness(self)
def getStandardDeviation(self):
"""getStandardDeviation(Beta self) -> NumericalPoint"""
return _dist_bundle1.Beta_getStandardDeviation(self)
def getSkewness(self):
"""getSkewness(Beta self) -> NumericalPoint"""
return _dist_bundle1.Beta_getSkewness(self)
def getKurtosis(self):
"""getKurtosis(Beta self) -> NumericalPoint"""
return _dist_bundle1.Beta_getKurtosis(self)
def getStandardMoment(self, *args):
"""getStandardMoment(Beta self, OT::UnsignedLong const n) -> NumericalPoint"""
return _dist_bundle1.Beta_getStandardMoment(self, *args)
def getStandardRepresentative(self):
"""getStandardRepresentative(Beta self) -> DistributionImplementationPointer"""
return _dist_bundle1.Beta_getStandardRepresentative(self)
def getParametersCollection(self):
"""getParametersCollection(Beta self) -> NumericalPointWithDescriptionCollection"""
return _dist_bundle1.Beta_getParametersCollection(self)
def setParametersCollection(self, *args):
"""
setParametersCollection(Beta self, NumericalPointWithDescriptionCollection parametersCollection)
setParametersCollection(Beta self, NumericalPointCollection parametersCollection)
setParametersCollection(Beta self, NumericalPoint parameters)
setParametersCollection(Beta self, NumericalPointCollection parametersCollection)
"""
return _dist_bundle1.Beta_setParametersCollection(self, *args)
def isElliptical(self):
"""isElliptical(Beta self) -> OT::Bool"""
return _dist_bundle1.Beta_isElliptical(self)
def setR(self, *args):
"""setR(Beta self, OT::NumericalScalar const r)"""
return _dist_bundle1.Beta_setR(self, *args)
def getR(self):
"""getR(Beta self) -> OT::NumericalScalar"""
return _dist_bundle1.Beta_getR(self)
def setT(self, *args):
"""setT(Beta self, OT::NumericalScalar const t)"""
return _dist_bundle1.Beta_setT(self, *args)
def getT(self):
"""getT(Beta self) -> OT::NumericalScalar"""
return _dist_bundle1.Beta_getT(self)
def setMuSigma(self, *args):
"""setMuSigma(Beta self, OT::NumericalScalar const mu, OT::NumericalScalar const sigma)"""
return _dist_bundle1.Beta_setMuSigma(self, *args)
def getMu(self):
"""getMu(Beta self) -> OT::NumericalScalar"""
return _dist_bundle1.Beta_getMu(self)
def getSigma(self):
"""getSigma(Beta self) -> OT::NumericalScalar"""
return _dist_bundle1.Beta_getSigma(self)
def setA(self, *args):
"""setA(Beta self, OT::NumericalScalar const a)"""
return _dist_bundle1.Beta_setA(self, *args)
def getA(self):
"""getA(Beta self) -> OT::NumericalScalar"""
return _dist_bundle1.Beta_getA(self)
def setB(self, *args):
"""setB(Beta self, OT::NumericalScalar const b)"""
return _dist_bundle1.Beta_setB(self, *args)
def getB(self):
"""getB(Beta self) -> OT::NumericalScalar"""
return _dist_bundle1.Beta_getB(self)
def __init__(self, *args):
"""
__init__(OT::Beta self) -> Beta
__init__(OT::Beta self, OT::NumericalScalar const arg1, OT::NumericalScalar const arg2, OT::NumericalScalar const a,
OT::NumericalScalar const b, OT::Beta::ParameterSet const set=RT) -> Beta
__init__(OT::Beta self, OT::NumericalScalar const arg1, OT::NumericalScalar const arg2, OT::NumericalScalar const a,
OT::NumericalScalar const b) -> Beta
__init__(OT::Beta self, Beta other) -> Beta
"""
this = _dist_bundle1.new_Beta(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _dist_bundle1.delete_Beta
__del__ = lambda self : None;
Beta_swigregister = _dist_bundle1.Beta_swigregister
Beta_swigregister(Beta)
def Beta_GetClassName():
"""Beta_GetClassName() -> OT::String"""
return _dist_bundle1.Beta_GetClassName()
class BetaFactory(openturns.model_copula.DistributionImplementationFactory):
"""Proxy of C++ OT::BetaFactory class"""
__swig_setmethods__ = {}
for _s in [openturns.model_copula.DistributionImplementationFactory]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, BetaFactory, name, value)
__swig_getmethods__ = {}
for _s in [openturns.model_copula.DistributionImplementationFactory]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, BetaFactory, name)
__repr__ = _swig_repr
def GetClassName():
"""GetClassName() -> OT::String"""
return _dist_bundle1.BetaFactory_GetClassName()
if _newclass:GetClassName = staticmethod(GetClassName)
__swig_getmethods__["GetClassName"] = lambda x: GetClassName
def getClassName(self):
"""getClassName(BetaFactory self) -> OT::String"""
return _dist_bundle1.BetaFactory_getClassName(self)
def build(self, *args):
"""
build(BetaFactory self, NumericalSample sample) -> DistributionImplementationPointer
build(BetaFactory self, NumericalSample sample, CovarianceMatrix covariance) -> DistributionImplementationPointer
build(BetaFactory self, NumericalPointCollection parameters) -> DistributionImplementationPointer
build(BetaFactory self, NumericalPointWithDescriptionCollection parameters) -> DistributionImplementationPointer
build(BetaFactory self, NumericalSample sample) -> DistributionImplementationPointer
build(BetaFactory self, NumericalPointCollection parameters) -> DistributionImplementationPointer
build(BetaFactory self) -> DistributionImplementationPointer
"""
return _dist_bundle1.BetaFactory_build(self, *args)
def buildAsBeta(self, *args):
"""
buildAsBeta(BetaFactory self, NumericalSample sample) -> Beta
buildAsBeta(BetaFactory self, NumericalPointCollection parameters) -> Beta
buildAsBeta(BetaFactory self, NumericalPointWithDescriptionCollection parameters) -> Beta
buildAsBeta(BetaFactory self) -> Beta
"""
return _dist_bundle1.BetaFactory_buildAsBeta(self, *args)
def __init__(self, *args):
"""
__init__(OT::BetaFactory self) -> BetaFactory
__init__(OT::BetaFactory self, BetaFactory other) -> BetaFactory
"""
this = _dist_bundle1.new_BetaFactory(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _dist_bundle1.delete_BetaFactory
__del__ = lambda self : None;
BetaFactory_swigregister = _dist_bundle1.BetaFactory_swigregister
BetaFactory_swigregister(BetaFactory)
def BetaFactory_GetClassName():
"""BetaFactory_GetClassName() -> OT::String"""
return _dist_bundle1.BetaFactory_GetClassName()
class Binomial(openturns.model_copula.DiscreteDistribution):
"""Proxy of C++ OT::Binomial class"""
__swig_setmethods__ = {}
for _s in [openturns.model_copula.DiscreteDistribution]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, Binomial, name, value)
__swig_getmethods__ = {}
for _s in [openturns.model_copula.DiscreteDistribution]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, Binomial, name)
def GetClassName():
"""GetClassName() -> OT::String"""
return _dist_bundle1.Binomial_GetClassName()
if _newclass:GetClassName = staticmethod(GetClassName)
__swig_getmethods__["GetClassName"] = lambda x: GetClassName
def getClassName(self):
"""getClassName(Binomial self) -> OT::String"""
return _dist_bundle1.Binomial_getClassName(self)
def __eq__(self, *args):
"""__eq__(Binomial self, Binomial other) -> OT::Bool"""
return _dist_bundle1.Binomial___eq__(self, *args)
def __repr__(self):
"""__repr__(Binomial self) -> OT::String"""
return _dist_bundle1.Binomial___repr__(self)
def __str__(self, offset=""):
"""
__str__(Binomial self, OT::String const & offset="") -> OT::String
__str__(Binomial self) -> OT::String
"""
return _dist_bundle1.Binomial___str__(self, offset)
def getRealization(self):
"""getRealization(Binomial self) -> NumericalPoint"""
return _dist_bundle1.Binomial_getRealization(self)
def computePDF(self, *args):
"""
computePDF(Binomial self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computePDF(Binomial self, NumericalPoint point) -> OT::NumericalScalar
computePDF(Binomial self, NumericalSample sample) -> NumericalSample
computePDF(Binomial self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultPDFEpsilon")) -> NumericalSample
computePDF(Binomial self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computePDF(Binomial self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid,
OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultPDFEpsilon")) -> NumericalSample
computePDF(Binomial self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
computePDF(Binomial self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle1.Binomial_computePDF(self, *args)
def computeCDF(self, *args):
"""
computeCDF(Binomial self, OT::NumericalScalar const scalar, OT::Bool const tail) -> OT::NumericalScalar
computeCDF(Binomial self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeCDF(Binomial self, NumericalPoint point, OT::Bool const tail) -> OT::NumericalScalar
computeCDF(Binomial self, NumericalPoint point) -> OT::NumericalScalar
computeCDF(Binomial self, NumericalSample sample, OT::Bool const tail) -> NumericalSample
computeCDF(Binomial self, NumericalSample sample) -> NumericalSample
computeCDF(Binomial self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
computeCDF(Binomial self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computeCDF(Binomial self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid,
OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
computeCDF(Binomial self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
computeCDF(Binomial self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle1.Binomial_computeCDF(self, *args)
def computeComplementaryCDF(self, *args):
"""
computeComplementaryCDF(Binomial self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeComplementaryCDF(Binomial self, NumericalPoint point) -> OT::NumericalScalar
computeComplementaryCDF(Binomial self, NumericalSample sample) -> NumericalSample
computeComplementaryCDF(Binomial self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
computeComplementaryCDF(Binomial self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computeComplementaryCDF(Binomial self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle1.Binomial_computeComplementaryCDF(self, *args)
def computePDFGradient(self, *args):
"""computePDFGradient(Binomial self, NumericalPoint point) -> NumericalPoint"""
return _dist_bundle1.Binomial_computePDFGradient(self, *args)
def computeCDFGradient(self, *args):
"""computeCDFGradient(Binomial self, NumericalPoint point) -> NumericalPoint"""
return _dist_bundle1.Binomial_computeCDFGradient(self, *args)
def computeCharacteristicFunction(self, *args):
"""computeCharacteristicFunction(Binomial self, OT::NumericalScalar const x) -> OT::NumericalComplex"""
return _dist_bundle1.Binomial_computeCharacteristicFunction(self, *args)
def computeLogCharacteristicFunction(self, *args):
"""computeLogCharacteristicFunction(Binomial self, OT::NumericalScalar const x) -> OT::NumericalComplex"""
return _dist_bundle1.Binomial_computeLogCharacteristicFunction(self, *args)
def computeGeneratingFunction(self, *args):
"""computeGeneratingFunction(Binomial self, OT::NumericalComplex const & z) -> OT::NumericalComplex"""
return _dist_bundle1.Binomial_computeGeneratingFunction(self, *args)
def computeLogGeneratingFunction(self, *args):
"""computeLogGeneratingFunction(Binomial self, OT::NumericalComplex const & z) -> OT::NumericalComplex"""
return _dist_bundle1.Binomial_computeLogGeneratingFunction(self, *args)
def getSupport(self, *args):
"""
getSupport(Binomial self, Interval interval) -> NumericalSample
getSupport(Binomial self) -> NumericalSample
getSupport(Binomial self, Interval interval) -> NumericalSample
"""
return _dist_bundle1.Binomial_getSupport(self, *args)
def getStandardDeviation(self):
"""getStandardDeviation(Binomial self) -> NumericalPoint"""
return _dist_bundle1.Binomial_getStandardDeviation(self)
def getSkewness(self):
"""getSkewness(Binomial self) -> NumericalPoint"""
return _dist_bundle1.Binomial_getSkewness(self)
def getKurtosis(self):
"""getKurtosis(Binomial self) -> NumericalPoint"""
return _dist_bundle1.Binomial_getKurtosis(self)
def getParametersCollection(self):
"""getParametersCollection(Binomial self) -> NumericalPointWithDescriptionCollection"""
return _dist_bundle1.Binomial_getParametersCollection(self)
def setParametersCollection(self, *args):
"""
setParametersCollection(Binomial self, NumericalPointWithDescriptionCollection parametersCollection)
setParametersCollection(Binomial self, NumericalPointCollection parametersCollection)
setParametersCollection(Binomial self, NumericalPoint parameters)
setParametersCollection(Binomial self, NumericalPointCollection parametersCollection)
"""
return _dist_bundle1.Binomial_setParametersCollection(self, *args)
def setP(self, *args):
"""setP(Binomial self, OT::NumericalScalar const p)"""
return _dist_bundle1.Binomial_setP(self, *args)
def getP(self):
"""getP(Binomial self) -> OT::NumericalScalar"""
return _dist_bundle1.Binomial_getP(self)
def setN(self, *args):
"""setN(Binomial self, OT::UnsignedLong const n)"""
return _dist_bundle1.Binomial_setN(self, *args)
def getN(self):
"""getN(Binomial self) -> OT::UnsignedLong"""
return _dist_bundle1.Binomial_getN(self)
def __init__(self, *args):
"""
__init__(OT::Binomial self) -> Binomial
__init__(OT::Binomial self, OT::UnsignedLong const n, OT::NumericalScalar const p) -> Binomial
__init__(OT::Binomial self, Binomial other) -> Binomial
"""
this = _dist_bundle1.new_Binomial(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _dist_bundle1.delete_Binomial
__del__ = lambda self : None;
Binomial_swigregister = _dist_bundle1.Binomial_swigregister
Binomial_swigregister(Binomial)
def Binomial_GetClassName():
"""Binomial_GetClassName() -> OT::String"""
return _dist_bundle1.Binomial_GetClassName()
class BinomialFactory(openturns.model_copula.DistributionImplementationFactory):
"""Proxy of C++ OT::BinomialFactory class"""
__swig_setmethods__ = {}
for _s in [openturns.model_copula.DistributionImplementationFactory]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, BinomialFactory, name, value)
__swig_getmethods__ = {}
for _s in [openturns.model_copula.DistributionImplementationFactory]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, BinomialFactory, name)
__repr__ = _swig_repr
def GetClassName():
"""GetClassName() -> OT::String"""
return _dist_bundle1.BinomialFactory_GetClassName()
if _newclass:GetClassName = staticmethod(GetClassName)
__swig_getmethods__["GetClassName"] = lambda x: GetClassName
def getClassName(self):
"""getClassName(BinomialFactory self) -> OT::String"""
return _dist_bundle1.BinomialFactory_getClassName(self)
def build(self, *args):
"""
build(BinomialFactory self, NumericalSample sample) -> DistributionImplementationPointer
build(BinomialFactory self, NumericalSample sample, CovarianceMatrix covariance) -> DistributionImplementationPointer
build(BinomialFactory self, NumericalPointCollection parameters) -> DistributionImplementationPointer
build(BinomialFactory self, NumericalPointWithDescriptionCollection parameters) -> DistributionImplementationPointer
build(BinomialFactory self, NumericalSample sample) -> DistributionImplementationPointer
build(BinomialFactory self, NumericalPointCollection parameters) -> DistributionImplementationPointer
build(BinomialFactory self) -> DistributionImplementationPointer
"""
return _dist_bundle1.BinomialFactory_build(self, *args)
def buildAsBinomial(self, *args):
"""
buildAsBinomial(BinomialFactory self, NumericalSample sample) -> Binomial
buildAsBinomial(BinomialFactory self, NumericalPointCollection parameters) -> Binomial
buildAsBinomial(BinomialFactory self, NumericalPointWithDescriptionCollection parameters) -> Binomial
buildAsBinomial(BinomialFactory self) -> Binomial
"""
return _dist_bundle1.BinomialFactory_buildAsBinomial(self, *args)
def ComputeLogLikelihood(*args):
"""ComputeLogLikelihood(OT::UnsignedLong const n, OT::NumericalScalar const p, NumericalSample sample) -> OT::NumericalScalar"""
return _dist_bundle1.BinomialFactory_ComputeLogLikelihood(*args)
if _newclass:ComputeLogLikelihood = staticmethod(ComputeLogLikelihood)
__swig_getmethods__["ComputeLogLikelihood"] = lambda x: ComputeLogLikelihood
def __init__(self, *args):
"""
__init__(OT::BinomialFactory self) -> BinomialFactory
__init__(OT::BinomialFactory self, BinomialFactory other) -> BinomialFactory
"""
this = _dist_bundle1.new_BinomialFactory(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _dist_bundle1.delete_BinomialFactory
__del__ = lambda self : None;
BinomialFactory_swigregister = _dist_bundle1.BinomialFactory_swigregister
BinomialFactory_swigregister(BinomialFactory)
def BinomialFactory_GetClassName():
"""BinomialFactory_GetClassName() -> OT::String"""
return _dist_bundle1.BinomialFactory_GetClassName()
def BinomialFactory_ComputeLogLikelihood(*args):
"""BinomialFactory_ComputeLogLikelihood(OT::UnsignedLong const n, OT::NumericalScalar const p, NumericalSample sample) -> OT::NumericalScalar"""
return _dist_bundle1.BinomialFactory_ComputeLogLikelihood(*args)
class Burr(openturns.model_copula.NonEllipticalDistribution):
"""Proxy of C++ OT::Burr class"""
__swig_setmethods__ = {}
for _s in [openturns.model_copula.NonEllipticalDistribution]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, Burr, name, value)
__swig_getmethods__ = {}
for _s in [openturns.model_copula.NonEllipticalDistribution]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, Burr, name)
def GetClassName():
"""GetClassName() -> OT::String"""
return _dist_bundle1.Burr_GetClassName()
if _newclass:GetClassName = staticmethod(GetClassName)
__swig_getmethods__["GetClassName"] = lambda x: GetClassName
def getClassName(self):
"""getClassName(Burr self) -> OT::String"""
return _dist_bundle1.Burr_getClassName(self)
def __eq__(self, *args):
"""__eq__(Burr self, Burr other) -> OT::Bool"""
return _dist_bundle1.Burr___eq__(self, *args)
def __repr__(self):
"""__repr__(Burr self) -> OT::String"""
return _dist_bundle1.Burr___repr__(self)
def __str__(self, offset=""):
"""
__str__(Burr self, OT::String const & offset="") -> OT::String
__str__(Burr self) -> OT::String
"""
return _dist_bundle1.Burr___str__(self, offset)
def getRealization(self):
"""getRealization(Burr self) -> NumericalPoint"""
return _dist_bundle1.Burr_getRealization(self)
def computeDDF(self, *args):
"""
computeDDF(Burr self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeDDF(Burr self, NumericalPoint point) -> NumericalPoint
computeDDF(Burr self, NumericalSample sample) -> NumericalSample
computeDDF(Burr self, NumericalPoint point) -> NumericalPoint
"""
return _dist_bundle1.Burr_computeDDF(self, *args)
def computePDF(self, *args):
"""
computePDF(Burr self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computePDF(Burr self, NumericalPoint point) -> OT::NumericalScalar
computePDF(Burr self, NumericalSample sample) -> NumericalSample
computePDF(Burr self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultPDFEpsilon")) -> NumericalSample
computePDF(Burr self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computePDF(Burr self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid,
OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultPDFEpsilon")) -> NumericalSample
computePDF(Burr self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
computePDF(Burr self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle1.Burr_computePDF(self, *args)
def computeLogPDF(self, *args):
"""
computeLogPDF(Burr self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeLogPDF(Burr self, NumericalPoint point) -> OT::NumericalScalar
computeLogPDF(Burr self, NumericalSample sample) -> NumericalSample
computeLogPDF(Burr self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle1.Burr_computeLogPDF(self, *args)
def computeCDF(self, *args):
"""
computeCDF(Burr self, OT::NumericalScalar const scalar, OT::Bool const tail) -> OT::NumericalScalar
computeCDF(Burr self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeCDF(Burr self, NumericalPoint point, OT::Bool const tail) -> OT::NumericalScalar
computeCDF(Burr self, NumericalPoint point) -> OT::NumericalScalar
computeCDF(Burr self, NumericalSample sample, OT::Bool const tail) -> NumericalSample
computeCDF(Burr self, NumericalSample sample) -> NumericalSample
computeCDF(Burr self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
computeCDF(Burr self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computeCDF(Burr self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid,
OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
computeCDF(Burr self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
computeCDF(Burr self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle1.Burr_computeCDF(self, *args)
def computePDFGradient(self, *args):
"""computePDFGradient(Burr self, NumericalPoint point) -> NumericalPoint"""
return _dist_bundle1.Burr_computePDFGradient(self, *args)
def computeCDFGradient(self, *args):
"""computeCDFGradient(Burr self, NumericalPoint point) -> NumericalPoint"""
return _dist_bundle1.Burr_computeCDFGradient(self, *args)
def getStandardDeviation(self):
"""getStandardDeviation(Burr self) -> NumericalPoint"""
return _dist_bundle1.Burr_getStandardDeviation(self)
def getSkewness(self):
"""getSkewness(Burr self) -> NumericalPoint"""
return _dist_bundle1.Burr_getSkewness(self)
def getKurtosis(self):
"""getKurtosis(Burr self) -> NumericalPoint"""
return _dist_bundle1.Burr_getKurtosis(self)
def getStandardMoment(self, *args):
"""getStandardMoment(Burr self, OT::UnsignedLong const n) -> NumericalPoint"""
return _dist_bundle1.Burr_getStandardMoment(self, *args)
def getParametersCollection(self):
"""getParametersCollection(Burr self) -> NumericalPointWithDescriptionCollection"""
return _dist_bundle1.Burr_getParametersCollection(self)
def setParametersCollection(self, *args):
"""
setParametersCollection(Burr self, NumericalPointWithDescriptionCollection parametersCollection)
setParametersCollection(Burr self, NumericalPointCollection parametersCollection)
setParametersCollection(Burr self, NumericalPoint parameters)
setParametersCollection(Burr self, NumericalPointCollection parametersCollection)
"""
return _dist_bundle1.Burr_setParametersCollection(self, *args)
def setC(self, *args):
"""setC(Burr self, OT::NumericalScalar const c)"""
return _dist_bundle1.Burr_setC(self, *args)
def getC(self):
"""getC(Burr self) -> OT::NumericalScalar"""
return _dist_bundle1.Burr_getC(self)
def setK(self, *args):
"""setK(Burr self, OT::NumericalScalar const k)"""
return _dist_bundle1.Burr_setK(self, *args)
def getK(self):
"""getK(Burr self) -> OT::NumericalScalar"""
return _dist_bundle1.Burr_getK(self)
def __init__(self, *args):
"""
__init__(OT::Burr self) -> Burr
__init__(OT::Burr self, OT::NumericalScalar const c, OT::NumericalScalar const k) -> Burr
__init__(OT::Burr self, Burr other) -> Burr
"""
this = _dist_bundle1.new_Burr(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _dist_bundle1.delete_Burr
__del__ = lambda self : None;
Burr_swigregister = _dist_bundle1.Burr_swigregister
Burr_swigregister(Burr)
def Burr_GetClassName():
"""Burr_GetClassName() -> OT::String"""
return _dist_bundle1.Burr_GetClassName()
class BurrFactory(openturns.model_copula.DistributionImplementationFactory):
"""Proxy of C++ OT::BurrFactory class"""
__swig_setmethods__ = {}
for _s in [openturns.model_copula.DistributionImplementationFactory]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, BurrFactory, name, value)
__swig_getmethods__ = {}
for _s in [openturns.model_copula.DistributionImplementationFactory]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, BurrFactory, name)
__repr__ = _swig_repr
def GetClassName():
"""GetClassName() -> OT::String"""
return _dist_bundle1.BurrFactory_GetClassName()
if _newclass:GetClassName = staticmethod(GetClassName)
__swig_getmethods__["GetClassName"] = lambda x: GetClassName
def getClassName(self):
"""getClassName(BurrFactory self) -> OT::String"""
return _dist_bundle1.BurrFactory_getClassName(self)
def build(self, *args):
"""
build(BurrFactory self, NumericalSample sample) -> DistributionImplementationPointer
build(BurrFactory self, NumericalSample sample, CovarianceMatrix covariance) -> DistributionImplementationPointer
build(BurrFactory self, NumericalPointCollection parameters) -> DistributionImplementationPointer
build(BurrFactory self, NumericalPointWithDescriptionCollection parameters) -> DistributionImplementationPointer
build(BurrFactory self, NumericalSample sample) -> DistributionImplementationPointer
build(BurrFactory self, NumericalPointCollection parameters) -> DistributionImplementationPointer
build(BurrFactory self) -> DistributionImplementationPointer
"""
return _dist_bundle1.BurrFactory_build(self, *args)
def buildAsBurr(self, *args):
"""
buildAsBurr(BurrFactory self, NumericalSample sample) -> Burr
buildAsBurr(BurrFactory self, NumericalPointCollection parameters) -> Burr
buildAsBurr(BurrFactory self, NumericalPointWithDescriptionCollection parameters) -> Burr
buildAsBurr(BurrFactory self) -> Burr
"""
return _dist_bundle1.BurrFactory_buildAsBurr(self, *args)
def __init__(self, *args):
"""
__init__(OT::BurrFactory self) -> BurrFactory
__init__(OT::BurrFactory self, BurrFactory other) -> BurrFactory
"""
this = _dist_bundle1.new_BurrFactory(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _dist_bundle1.delete_BurrFactory
__del__ = lambda self : None;
BurrFactory_swigregister = _dist_bundle1.BurrFactory_swigregister
BurrFactory_swigregister(BurrFactory)
def BurrFactory_GetClassName():
"""BurrFactory_GetClassName() -> OT::String"""
return _dist_bundle1.BurrFactory_GetClassName()
class Chi(openturns.model_copula.NonEllipticalDistribution):
"""Proxy of C++ OT::Chi class"""
__swig_setmethods__ = {}
for _s in [openturns.model_copula.NonEllipticalDistribution]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, Chi, name, value)
__swig_getmethods__ = {}
for _s in [openturns.model_copula.NonEllipticalDistribution]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, Chi, name)
def GetClassName():
"""GetClassName() -> OT::String"""
return _dist_bundle1.Chi_GetClassName()
if _newclass:GetClassName = staticmethod(GetClassName)
__swig_getmethods__["GetClassName"] = lambda x: GetClassName
def getClassName(self):
"""getClassName(Chi self) -> OT::String"""
return _dist_bundle1.Chi_getClassName(self)
def __eq__(self, *args):
"""__eq__(Chi self, Chi other) -> OT::Bool"""
return _dist_bundle1.Chi___eq__(self, *args)
def __repr__(self):
"""__repr__(Chi self) -> OT::String"""
return _dist_bundle1.Chi___repr__(self)
def __str__(self, offset=""):
"""
__str__(Chi self, OT::String const & offset="") -> OT::String
__str__(Chi self) -> OT::String
"""
return _dist_bundle1.Chi___str__(self, offset)
def getRealization(self):
"""getRealization(Chi self) -> NumericalPoint"""
return _dist_bundle1.Chi_getRealization(self)
def computeDDF(self, *args):
"""
computeDDF(Chi self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeDDF(Chi self, NumericalPoint point) -> NumericalPoint
computeDDF(Chi self, NumericalSample sample) -> NumericalSample
computeDDF(Chi self, NumericalPoint point) -> NumericalPoint
"""
return _dist_bundle1.Chi_computeDDF(self, *args)
def computePDF(self, *args):
"""
computePDF(Chi self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computePDF(Chi self, NumericalPoint point) -> OT::NumericalScalar
computePDF(Chi self, NumericalSample sample) -> NumericalSample
computePDF(Chi self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultPDFEpsilon")) -> NumericalSample
computePDF(Chi self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computePDF(Chi self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid,
OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultPDFEpsilon")) -> NumericalSample
computePDF(Chi self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
computePDF(Chi self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle1.Chi_computePDF(self, *args)
def computeLogPDF(self, *args):
"""
computeLogPDF(Chi self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeLogPDF(Chi self, NumericalPoint point) -> OT::NumericalScalar
computeLogPDF(Chi self, NumericalSample sample) -> NumericalSample
computeLogPDF(Chi self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle1.Chi_computeLogPDF(self, *args)
def computeCDF(self, *args):
"""
computeCDF(Chi self, OT::NumericalScalar const scalar, OT::Bool const tail) -> OT::NumericalScalar
computeCDF(Chi self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeCDF(Chi self, NumericalPoint point, OT::Bool const tail) -> OT::NumericalScalar
computeCDF(Chi self, NumericalPoint point) -> OT::NumericalScalar
computeCDF(Chi self, NumericalSample sample, OT::Bool const tail) -> NumericalSample
computeCDF(Chi self, NumericalSample sample) -> NumericalSample
computeCDF(Chi self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
computeCDF(Chi self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computeCDF(Chi self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid,
OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
computeCDF(Chi self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
computeCDF(Chi self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle1.Chi_computeCDF(self, *args)
def computeComplementaryCDF(self, *args):
"""
computeComplementaryCDF(Chi self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeComplementaryCDF(Chi self, NumericalPoint point) -> OT::NumericalScalar
computeComplementaryCDF(Chi self, NumericalSample sample) -> NumericalSample
computeComplementaryCDF(Chi self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
computeComplementaryCDF(Chi self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computeComplementaryCDF(Chi self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle1.Chi_computeComplementaryCDF(self, *args)
def computeCharacteristicFunction(self, *args):
"""computeCharacteristicFunction(Chi self, OT::NumericalScalar const x) -> OT::NumericalComplex"""
return _dist_bundle1.Chi_computeCharacteristicFunction(self, *args)
def computePDFGradient(self, *args):
"""computePDFGradient(Chi self, NumericalPoint point) -> NumericalPoint"""
return _dist_bundle1.Chi_computePDFGradient(self, *args)
def computeCDFGradient(self, *args):
"""computeCDFGradient(Chi self, NumericalPoint point) -> NumericalPoint"""
return _dist_bundle1.Chi_computeCDFGradient(self, *args)
def computeScalarQuantile(self, *args):
"""
computeScalarQuantile(Chi self, OT::NumericalScalar const prob, OT::Bool const tail=False, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultQuantileEpsilon")) -> OT::NumericalScalar
computeScalarQuantile(Chi self, OT::NumericalScalar const prob, OT::Bool const tail=False) -> OT::NumericalScalar
computeScalarQuantile(Chi self, OT::NumericalScalar const prob) -> OT::NumericalScalar
"""
return _dist_bundle1.Chi_computeScalarQuantile(self, *args)
def getStandardDeviation(self):
"""getStandardDeviation(Chi self) -> NumericalPoint"""
return _dist_bundle1.Chi_getStandardDeviation(self)
def getSkewness(self):
"""getSkewness(Chi self) -> NumericalPoint"""
return _dist_bundle1.Chi_getSkewness(self)
def getKurtosis(self):
"""getKurtosis(Chi self) -> NumericalPoint"""
return _dist_bundle1.Chi_getKurtosis(self)
def getStandardMoment(self, *args):
"""getStandardMoment(Chi self, OT::UnsignedLong const n) -> NumericalPoint"""
return _dist_bundle1.Chi_getStandardMoment(self, *args)
def getParametersCollection(self):
"""getParametersCollection(Chi self) -> NumericalPointWithDescriptionCollection"""
return _dist_bundle1.Chi_getParametersCollection(self)
def setParametersCollection(self, *args):
"""
setParametersCollection(Chi self, NumericalPointWithDescriptionCollection parametersCollection)
setParametersCollection(Chi self, NumericalPointCollection parametersCollection)
setParametersCollection(Chi self, NumericalPoint parameters)
setParametersCollection(Chi self, NumericalPointCollection parametersCollection)
"""
return _dist_bundle1.Chi_setParametersCollection(self, *args)
def setNu(self, *args):
"""setNu(Chi self, OT::NumericalScalar const nu)"""
return _dist_bundle1.Chi_setNu(self, *args)
def getNu(self):
"""getNu(Chi self) -> OT::NumericalScalar"""
return _dist_bundle1.Chi_getNu(self)
def __init__(self, *args):
"""
__init__(OT::Chi self) -> Chi
__init__(OT::Chi self, OT::NumericalScalar const nu_) -> Chi
__init__(OT::Chi self, Chi other) -> Chi
"""
this = _dist_bundle1.new_Chi(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _dist_bundle1.delete_Chi
__del__ = lambda self : None;
Chi_swigregister = _dist_bundle1.Chi_swigregister
Chi_swigregister(Chi)
def Chi_GetClassName():
"""Chi_GetClassName() -> OT::String"""
return _dist_bundle1.Chi_GetClassName()
class ChiFactory(openturns.model_copula.DistributionImplementationFactory):
"""Proxy of C++ OT::ChiFactory class"""
__swig_setmethods__ = {}
for _s in [openturns.model_copula.DistributionImplementationFactory]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, ChiFactory, name, value)
__swig_getmethods__ = {}
for _s in [openturns.model_copula.DistributionImplementationFactory]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, ChiFactory, name)
__repr__ = _swig_repr
def GetClassName():
"""GetClassName() -> OT::String"""
return _dist_bundle1.ChiFactory_GetClassName()
if _newclass:GetClassName = staticmethod(GetClassName)
__swig_getmethods__["GetClassName"] = lambda x: GetClassName
def getClassName(self):
"""getClassName(ChiFactory self) -> OT::String"""
return _dist_bundle1.ChiFactory_getClassName(self)
def build(self, *args):
"""
build(ChiFactory self, NumericalSample sample) -> DistributionImplementationPointer
build(ChiFactory self, NumericalSample sample, CovarianceMatrix covariance) -> DistributionImplementationPointer
build(ChiFactory self, NumericalPointCollection parameters) -> DistributionImplementationPointer
build(ChiFactory self, NumericalPointWithDescriptionCollection parameters) -> DistributionImplementationPointer
build(ChiFactory self, NumericalSample sample) -> DistributionImplementationPointer
build(ChiFactory self, NumericalPointCollection parameters) -> DistributionImplementationPointer
build(ChiFactory self) -> DistributionImplementationPointer
"""
return _dist_bundle1.ChiFactory_build(self, *args)
def buildAsChi(self, *args):
"""
buildAsChi(ChiFactory self, NumericalSample sample) -> Chi
buildAsChi(ChiFactory self, NumericalPointCollection parameters) -> Chi
buildAsChi(ChiFactory self, NumericalPointWithDescriptionCollection parameters) -> Chi
buildAsChi(ChiFactory self) -> Chi
"""
return _dist_bundle1.ChiFactory_buildAsChi(self, *args)
def __init__(self, *args):
"""
__init__(OT::ChiFactory self) -> ChiFactory
__init__(OT::ChiFactory self, ChiFactory other) -> ChiFactory
"""
this = _dist_bundle1.new_ChiFactory(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _dist_bundle1.delete_ChiFactory
__del__ = lambda self : None;
ChiFactory_swigregister = _dist_bundle1.ChiFactory_swigregister
ChiFactory_swigregister(ChiFactory)
def ChiFactory_GetClassName():
"""ChiFactory_GetClassName() -> OT::String"""
return _dist_bundle1.ChiFactory_GetClassName()
class ChiSquare(openturns.model_copula.NonEllipticalDistribution):
"""Proxy of C++ OT::ChiSquare class"""
__swig_setmethods__ = {}
for _s in [openturns.model_copula.NonEllipticalDistribution]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, ChiSquare, name, value)
__swig_getmethods__ = {}
for _s in [openturns.model_copula.NonEllipticalDistribution]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, ChiSquare, name)
def GetClassName():
"""GetClassName() -> OT::String"""
return _dist_bundle1.ChiSquare_GetClassName()
if _newclass:GetClassName = staticmethod(GetClassName)
__swig_getmethods__["GetClassName"] = lambda x: GetClassName
def getClassName(self):
"""getClassName(ChiSquare self) -> OT::String"""
return _dist_bundle1.ChiSquare_getClassName(self)
def __eq__(self, *args):
"""__eq__(ChiSquare self, ChiSquare other) -> OT::Bool"""
return _dist_bundle1.ChiSquare___eq__(self, *args)
def __repr__(self):
"""__repr__(ChiSquare self) -> OT::String"""
return _dist_bundle1.ChiSquare___repr__(self)
def __str__(self, offset=""):
"""
__str__(ChiSquare self, OT::String const & offset="") -> OT::String
__str__(ChiSquare self) -> OT::String
"""
return _dist_bundle1.ChiSquare___str__(self, offset)
def getRealization(self):
"""getRealization(ChiSquare self) -> NumericalPoint"""
return _dist_bundle1.ChiSquare_getRealization(self)
def computeDDF(self, *args):
"""
computeDDF(ChiSquare self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeDDF(ChiSquare self, NumericalPoint point) -> NumericalPoint
computeDDF(ChiSquare self, NumericalSample sample) -> NumericalSample
computeDDF(ChiSquare self, NumericalPoint point) -> NumericalPoint
"""
return _dist_bundle1.ChiSquare_computeDDF(self, *args)
def computePDF(self, *args):
"""
computePDF(ChiSquare self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computePDF(ChiSquare self, NumericalPoint point) -> OT::NumericalScalar
computePDF(ChiSquare self, NumericalSample sample) -> NumericalSample
computePDF(ChiSquare self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultPDFEpsilon")) -> NumericalSample
computePDF(ChiSquare self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computePDF(ChiSquare self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid,
OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultPDFEpsilon")) -> NumericalSample
computePDF(ChiSquare self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
computePDF(ChiSquare self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle1.ChiSquare_computePDF(self, *args)
def computeLogPDF(self, *args):
"""
computeLogPDF(ChiSquare self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeLogPDF(ChiSquare self, NumericalPoint point) -> OT::NumericalScalar
computeLogPDF(ChiSquare self, NumericalSample sample) -> NumericalSample
computeLogPDF(ChiSquare self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle1.ChiSquare_computeLogPDF(self, *args)
def computeCDF(self, *args):
"""
computeCDF(ChiSquare self, OT::NumericalScalar const scalar, OT::Bool const tail) -> OT::NumericalScalar
computeCDF(ChiSquare self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeCDF(ChiSquare self, NumericalPoint point, OT::Bool const tail) -> OT::NumericalScalar
computeCDF(ChiSquare self, NumericalPoint point) -> OT::NumericalScalar
computeCDF(ChiSquare self, NumericalSample sample, OT::Bool const tail) -> NumericalSample
computeCDF(ChiSquare self, NumericalSample sample) -> NumericalSample
computeCDF(ChiSquare self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
computeCDF(ChiSquare self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computeCDF(ChiSquare self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid,
OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
computeCDF(ChiSquare self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
computeCDF(ChiSquare self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle1.ChiSquare_computeCDF(self, *args)
def computeComplementaryCDF(self, *args):
"""
computeComplementaryCDF(ChiSquare self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeComplementaryCDF(ChiSquare self, NumericalPoint point) -> OT::NumericalScalar
computeComplementaryCDF(ChiSquare self, NumericalSample sample) -> NumericalSample
computeComplementaryCDF(ChiSquare self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
computeComplementaryCDF(ChiSquare self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computeComplementaryCDF(ChiSquare self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle1.ChiSquare_computeComplementaryCDF(self, *args)
def computeCharacteristicFunction(self, *args):
"""computeCharacteristicFunction(ChiSquare self, OT::NumericalScalar const x) -> OT::NumericalComplex"""
return _dist_bundle1.ChiSquare_computeCharacteristicFunction(self, *args)
def computeLogCharacteristicFunction(self, *args):
"""computeLogCharacteristicFunction(ChiSquare self, OT::NumericalScalar const x) -> OT::NumericalComplex"""
return _dist_bundle1.ChiSquare_computeLogCharacteristicFunction(self, *args)
def computePDFGradient(self, *args):
"""computePDFGradient(ChiSquare self, NumericalPoint point) -> NumericalPoint"""
return _dist_bundle1.ChiSquare_computePDFGradient(self, *args)
def computeCDFGradient(self, *args):
"""computeCDFGradient(ChiSquare self, NumericalPoint point) -> NumericalPoint"""
return _dist_bundle1.ChiSquare_computeCDFGradient(self, *args)
def getStandardDeviation(self):
"""getStandardDeviation(ChiSquare self) -> NumericalPoint"""
return _dist_bundle1.ChiSquare_getStandardDeviation(self)
def getSkewness(self):
"""getSkewness(ChiSquare self) -> NumericalPoint"""
return _dist_bundle1.ChiSquare_getSkewness(self)
def getKurtosis(self):
"""getKurtosis(ChiSquare self) -> NumericalPoint"""
return _dist_bundle1.ChiSquare_getKurtosis(self)
def getStandardMoment(self, *args):
"""getStandardMoment(ChiSquare self, OT::UnsignedLong const n) -> NumericalPoint"""
return _dist_bundle1.ChiSquare_getStandardMoment(self, *args)
def getParametersCollection(self):
"""getParametersCollection(ChiSquare self) -> NumericalPointWithDescriptionCollection"""
return _dist_bundle1.ChiSquare_getParametersCollection(self)
def setParametersCollection(self, *args):
"""
setParametersCollection(ChiSquare self, NumericalPointWithDescriptionCollection parametersCollection)
setParametersCollection(ChiSquare self, NumericalPointCollection parametersCollection)
setParametersCollection(ChiSquare self, NumericalPoint parameters)
setParametersCollection(ChiSquare self, NumericalPointCollection parametersCollection)
"""
return _dist_bundle1.ChiSquare_setParametersCollection(self, *args)
def setNu(self, *args):
"""setNu(ChiSquare self, OT::NumericalScalar const nu)"""
return _dist_bundle1.ChiSquare_setNu(self, *args)
def getNu(self):
"""getNu(ChiSquare self) -> OT::NumericalScalar"""
return _dist_bundle1.ChiSquare_getNu(self)
def __init__(self, *args):
"""
__init__(OT::ChiSquare self) -> ChiSquare
__init__(OT::ChiSquare self, OT::NumericalScalar const nu_) -> ChiSquare
__init__(OT::ChiSquare self, ChiSquare other) -> ChiSquare
"""
this = _dist_bundle1.new_ChiSquare(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _dist_bundle1.delete_ChiSquare
__del__ = lambda self : None;
ChiSquare_swigregister = _dist_bundle1.ChiSquare_swigregister
ChiSquare_swigregister(ChiSquare)
def ChiSquare_GetClassName():
"""ChiSquare_GetClassName() -> OT::String"""
return _dist_bundle1.ChiSquare_GetClassName()
class ChiSquareFactory(openturns.model_copula.DistributionImplementationFactory):
"""Proxy of C++ OT::ChiSquareFactory class"""
__swig_setmethods__ = {}
for _s in [openturns.model_copula.DistributionImplementationFactory]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, ChiSquareFactory, name, value)
__swig_getmethods__ = {}
for _s in [openturns.model_copula.DistributionImplementationFactory]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, ChiSquareFactory, name)
__repr__ = _swig_repr
def GetClassName():
"""GetClassName() -> OT::String"""
return _dist_bundle1.ChiSquareFactory_GetClassName()
if _newclass:GetClassName = staticmethod(GetClassName)
__swig_getmethods__["GetClassName"] = lambda x: GetClassName
def getClassName(self):
"""getClassName(ChiSquareFactory self) -> OT::String"""
return _dist_bundle1.ChiSquareFactory_getClassName(self)
def build(self, *args):
"""
build(ChiSquareFactory self, NumericalSample sample) -> DistributionImplementationPointer
build(ChiSquareFactory self, NumericalSample sample, CovarianceMatrix covariance) -> DistributionImplementationPointer
build(ChiSquareFactory self, NumericalPointCollection parameters) -> DistributionImplementationPointer
build(ChiSquareFactory self, NumericalPointWithDescriptionCollection parameters) -> DistributionImplementationPointer
build(ChiSquareFactory self, NumericalSample sample) -> DistributionImplementationPointer
build(ChiSquareFactory self, NumericalPointCollection parameters) -> DistributionImplementationPointer
build(ChiSquareFactory self) -> DistributionImplementationPointer
"""
return _dist_bundle1.ChiSquareFactory_build(self, *args)
def buildAsChiSquare(self, *args):
"""
buildAsChiSquare(ChiSquareFactory self, NumericalSample sample) -> ChiSquare
buildAsChiSquare(ChiSquareFactory self, NumericalPointCollection parameters) -> ChiSquare
buildAsChiSquare(ChiSquareFactory self, NumericalPointWithDescriptionCollection parameters) -> ChiSquare
buildAsChiSquare(ChiSquareFactory self) -> ChiSquare
"""
return _dist_bundle1.ChiSquareFactory_buildAsChiSquare(self, *args)
def __init__(self, *args):
"""
__init__(OT::ChiSquareFactory self) -> ChiSquareFactory
__init__(OT::ChiSquareFactory self, ChiSquareFactory other) -> ChiSquareFactory
"""
this = _dist_bundle1.new_ChiSquareFactory(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _dist_bundle1.delete_ChiSquareFactory
__del__ = lambda self : None;
ChiSquareFactory_swigregister = _dist_bundle1.ChiSquareFactory_swigregister
ChiSquareFactory_swigregister(ChiSquareFactory)
def ChiSquareFactory_GetClassName():
"""ChiSquareFactory_GetClassName() -> OT::String"""
return _dist_bundle1.ChiSquareFactory_GetClassName()
class Dirac(openturns.model_copula.DiscreteDistribution):
"""Proxy of C++ OT::Dirac class"""
__swig_setmethods__ = {}
for _s in [openturns.model_copula.DiscreteDistribution]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, Dirac, name, value)
__swig_getmethods__ = {}
for _s in [openturns.model_copula.DiscreteDistribution]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, Dirac, name)
def GetClassName():
"""GetClassName() -> OT::String"""
return _dist_bundle1.Dirac_GetClassName()
if _newclass:GetClassName = staticmethod(GetClassName)
__swig_getmethods__["GetClassName"] = lambda x: GetClassName
def getClassName(self):
"""getClassName(Dirac self) -> OT::String"""
return _dist_bundle1.Dirac_getClassName(self)
def __eq__(self, *args):
"""__eq__(Dirac self, Dirac other) -> OT::Bool"""
return _dist_bundle1.Dirac___eq__(self, *args)
def __repr__(self):
"""__repr__(Dirac self) -> OT::String"""
return _dist_bundle1.Dirac___repr__(self)
def __str__(self, offset=""):
"""
__str__(Dirac self, OT::String const & offset="") -> OT::String
__str__(Dirac self) -> OT::String
"""
return _dist_bundle1.Dirac___str__(self, offset)
def getRealization(self):
"""getRealization(Dirac self) -> NumericalPoint"""
return _dist_bundle1.Dirac_getRealization(self)
def computePDF(self, *args):
"""
computePDF(Dirac self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computePDF(Dirac self, NumericalPoint point) -> OT::NumericalScalar
computePDF(Dirac self, NumericalSample sample) -> NumericalSample
computePDF(Dirac self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultPDFEpsilon")) -> NumericalSample
computePDF(Dirac self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computePDF(Dirac self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid,
OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultPDFEpsilon")) -> NumericalSample
computePDF(Dirac self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
computePDF(Dirac self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle1.Dirac_computePDF(self, *args)
def computeCDF(self, *args):
"""
computeCDF(Dirac self, OT::NumericalScalar const scalar, OT::Bool const tail) -> OT::NumericalScalar
computeCDF(Dirac self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeCDF(Dirac self, NumericalPoint point, OT::Bool const tail) -> OT::NumericalScalar
computeCDF(Dirac self, NumericalPoint point) -> OT::NumericalScalar
computeCDF(Dirac self, NumericalSample sample, OT::Bool const tail) -> NumericalSample
computeCDF(Dirac self, NumericalSample sample) -> NumericalSample
computeCDF(Dirac self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
computeCDF(Dirac self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computeCDF(Dirac self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid,
OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
computeCDF(Dirac self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
computeCDF(Dirac self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle1.Dirac_computeCDF(self, *args)
def computeQuantile(self, *args):
"""
computeQuantile(Dirac self, OT::NumericalScalar const prob, OT::Bool const tail=False) -> NumericalPoint
computeQuantile(Dirac self, OT::NumericalScalar const prob) -> NumericalPoint
"""
return _dist_bundle1.Dirac_computeQuantile(self, *args)
def computePDFGradient(self, *args):
"""computePDFGradient(Dirac self, NumericalPoint point) -> NumericalPoint"""
return _dist_bundle1.Dirac_computePDFGradient(self, *args)
def computeCDFGradient(self, *args):
"""computeCDFGradient(Dirac self, NumericalPoint point) -> NumericalPoint"""
return _dist_bundle1.Dirac_computeCDFGradient(self, *args)
def computeCharacteristicFunction(self, *args):
"""computeCharacteristicFunction(Dirac self, OT::NumericalScalar const x) -> OT::NumericalComplex"""
return _dist_bundle1.Dirac_computeCharacteristicFunction(self, *args)
def computeLogCharacteristicFunction(self, *args):
"""computeLogCharacteristicFunction(Dirac self, OT::NumericalScalar const x) -> OT::NumericalComplex"""
return _dist_bundle1.Dirac_computeLogCharacteristicFunction(self, *args)
def computeGeneratingFunction(self, *args):
"""computeGeneratingFunction(Dirac self, OT::NumericalComplex const & z) -> OT::NumericalComplex"""
return _dist_bundle1.Dirac_computeGeneratingFunction(self, *args)
def computeLogGeneratingFunction(self, *args):
"""computeLogGeneratingFunction(Dirac self, OT::NumericalComplex const & z) -> OT::NumericalComplex"""
return _dist_bundle1.Dirac_computeLogGeneratingFunction(self, *args)
def getSupport(self, *args):
"""
getSupport(Dirac self, Interval interval) -> NumericalSample
getSupport(Dirac self) -> NumericalSample
getSupport(Dirac self, Interval interval) -> NumericalSample
"""
return _dist_bundle1.Dirac_getSupport(self, *args)
def getStandardDeviation(self):
"""getStandardDeviation(Dirac self) -> NumericalPoint"""
return _dist_bundle1.Dirac_getStandardDeviation(self)
def getSkewness(self):
"""getSkewness(Dirac self) -> NumericalPoint"""
return _dist_bundle1.Dirac_getSkewness(self)
def getKurtosis(self):
"""getKurtosis(Dirac self) -> NumericalPoint"""
return _dist_bundle1.Dirac_getKurtosis(self)
def getStandardMoment(self, *args):
"""getStandardMoment(Dirac self, OT::UnsignedLong const n) -> NumericalPoint"""
return _dist_bundle1.Dirac_getStandardMoment(self, *args)
def getParametersCollection(self):
"""getParametersCollection(Dirac self) -> NumericalPointWithDescriptionCollection"""
return _dist_bundle1.Dirac_getParametersCollection(self)
def setParametersCollection(self, *args):
"""
setParametersCollection(Dirac self, NumericalPointWithDescriptionCollection parametersCollection)
setParametersCollection(Dirac self, NumericalPointCollection parametersCollection)
setParametersCollection(Dirac self, NumericalPoint parameters)
setParametersCollection(Dirac self, NumericalPointCollection parametersCollection)
"""
return _dist_bundle1.Dirac_setParametersCollection(self, *args)
def setPoint(self, *args):
"""setPoint(Dirac self, NumericalPoint point)"""
return _dist_bundle1.Dirac_setPoint(self, *args)
def getPoint(self):
"""getPoint(Dirac self) -> NumericalPoint"""
return _dist_bundle1.Dirac_getPoint(self)
def getMarginal(self, *args):
"""
getMarginal(Dirac self, OT::UnsignedLong const i) -> DistributionImplementationPointer
getMarginal(Dirac self, Indices indices) -> DistributionImplementationPointer
"""
return _dist_bundle1.Dirac_getMarginal(self, *args)
def __init__(self, *args):
"""
__init__(OT::Dirac self) -> Dirac
__init__(OT::Dirac self, OT::NumericalScalar const p) -> Dirac
__init__(OT::Dirac self, NumericalPoint point) -> Dirac
__init__(OT::Dirac self, Dirac other) -> Dirac
"""
this = _dist_bundle1.new_Dirac(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _dist_bundle1.delete_Dirac
__del__ = lambda self : None;
Dirac_swigregister = _dist_bundle1.Dirac_swigregister
Dirac_swigregister(Dirac)
def Dirac_GetClassName():
"""Dirac_GetClassName() -> OT::String"""
return _dist_bundle1.Dirac_GetClassName()
class DiracFactory(openturns.model_copula.DistributionImplementationFactory):
"""Proxy of C++ OT::DiracFactory class"""
__swig_setmethods__ = {}
for _s in [openturns.model_copula.DistributionImplementationFactory]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, DiracFactory, name, value)
__swig_getmethods__ = {}
for _s in [openturns.model_copula.DistributionImplementationFactory]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, DiracFactory, name)
__repr__ = _swig_repr
def GetClassName():
"""GetClassName() -> OT::String"""
return _dist_bundle1.DiracFactory_GetClassName()
if _newclass:GetClassName = staticmethod(GetClassName)
__swig_getmethods__["GetClassName"] = lambda x: GetClassName
def getClassName(self):
"""getClassName(DiracFactory self) -> OT::String"""
return _dist_bundle1.DiracFactory_getClassName(self)
def build(self, *args):
"""
build(DiracFactory self, NumericalSample sample) -> DistributionImplementationPointer
build(DiracFactory self, NumericalSample sample, CovarianceMatrix covariance) -> DistributionImplementationPointer
build(DiracFactory self, NumericalPointCollection parameters) -> DistributionImplementationPointer
build(DiracFactory self, NumericalPointWithDescriptionCollection parameters) -> DistributionImplementationPointer
build(DiracFactory self, NumericalSample sample) -> DistributionImplementationPointer
build(DiracFactory self, NumericalPointCollection parameters) -> DistributionImplementationPointer
build(DiracFactory self) -> DistributionImplementationPointer
"""
return _dist_bundle1.DiracFactory_build(self, *args)
def buildAsDirac(self, *args):
"""
buildAsDirac(DiracFactory self, NumericalSample sample) -> Dirac
buildAsDirac(DiracFactory self, NumericalPointCollection parameters) -> Dirac
buildAsDirac(DiracFactory self, NumericalPointWithDescriptionCollection parameters) -> Dirac
buildAsDirac(DiracFactory self) -> Dirac
"""
return _dist_bundle1.DiracFactory_buildAsDirac(self, *args)
def __init__(self, *args):
"""
__init__(OT::DiracFactory self) -> DiracFactory
__init__(OT::DiracFactory self, DiracFactory other) -> DiracFactory
"""
this = _dist_bundle1.new_DiracFactory(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _dist_bundle1.delete_DiracFactory
__del__ = lambda self : None;
DiracFactory_swigregister = _dist_bundle1.DiracFactory_swigregister
DiracFactory_swigregister(DiracFactory)
def DiracFactory_GetClassName():
"""DiracFactory_GetClassName() -> OT::String"""
return _dist_bundle1.DiracFactory_GetClassName()
class Dirichlet(openturns.model_copula.NonEllipticalDistribution):
"""Proxy of C++ OT::Dirichlet class"""
__swig_setmethods__ = {}
for _s in [openturns.model_copula.NonEllipticalDistribution]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, Dirichlet, name, value)
__swig_getmethods__ = {}
for _s in [openturns.model_copula.NonEllipticalDistribution]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, Dirichlet, name)
def GetClassName():
"""GetClassName() -> OT::String"""
return _dist_bundle1.Dirichlet_GetClassName()
if _newclass:GetClassName = staticmethod(GetClassName)
__swig_getmethods__["GetClassName"] = lambda x: GetClassName
def getClassName(self):
"""getClassName(Dirichlet self) -> OT::String"""
return _dist_bundle1.Dirichlet_getClassName(self)
def __eq__(self, *args):
"""__eq__(Dirichlet self, Dirichlet other) -> OT::Bool"""
return _dist_bundle1.Dirichlet___eq__(self, *args)
def __repr__(self):
"""__repr__(Dirichlet self) -> OT::String"""
return _dist_bundle1.Dirichlet___repr__(self)
def __str__(self, offset=""):
"""
__str__(Dirichlet self, OT::String const & offset="") -> OT::String
__str__(Dirichlet self) -> OT::String
"""
return _dist_bundle1.Dirichlet___str__(self, offset)
def getRealization(self):
"""getRealization(Dirichlet self) -> NumericalPoint"""
return _dist_bundle1.Dirichlet_getRealization(self)
def computePDF(self, *args):
"""
computePDF(Dirichlet self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computePDF(Dirichlet self, NumericalPoint point) -> OT::NumericalScalar
computePDF(Dirichlet self, NumericalSample sample) -> NumericalSample
computePDF(Dirichlet self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultPDFEpsilon")) -> NumericalSample
computePDF(Dirichlet self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computePDF(Dirichlet self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid,
OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultPDFEpsilon")) -> NumericalSample
computePDF(Dirichlet self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
computePDF(Dirichlet self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle1.Dirichlet_computePDF(self, *args)
def computeLogPDF(self, *args):
"""
computeLogPDF(Dirichlet self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeLogPDF(Dirichlet self, NumericalPoint point) -> OT::NumericalScalar
computeLogPDF(Dirichlet self, NumericalSample sample) -> NumericalSample
computeLogPDF(Dirichlet self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle1.Dirichlet_computeLogPDF(self, *args)
def computeCDF(self, *args):
"""
computeCDF(Dirichlet self, OT::NumericalScalar const scalar, OT::Bool const tail) -> OT::NumericalScalar
computeCDF(Dirichlet self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeCDF(Dirichlet self, NumericalPoint point, OT::Bool const tail) -> OT::NumericalScalar
computeCDF(Dirichlet self, NumericalPoint point) -> OT::NumericalScalar
computeCDF(Dirichlet self, NumericalSample sample, OT::Bool const tail) -> NumericalSample
computeCDF(Dirichlet self, NumericalSample sample) -> NumericalSample
computeCDF(Dirichlet self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
computeCDF(Dirichlet self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computeCDF(Dirichlet self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid,
OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
computeCDF(Dirichlet self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
computeCDF(Dirichlet self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle1.Dirichlet_computeCDF(self, *args)
def computeComplementaryCDF(self, *args):
"""
computeComplementaryCDF(Dirichlet self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeComplementaryCDF(Dirichlet self, NumericalPoint point) -> OT::NumericalScalar
computeComplementaryCDF(Dirichlet self, NumericalSample sample) -> NumericalSample
computeComplementaryCDF(Dirichlet self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
computeComplementaryCDF(Dirichlet self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computeComplementaryCDF(Dirichlet self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle1.Dirichlet_computeComplementaryCDF(self, *args)
def getStandardDeviation(self):
"""getStandardDeviation(Dirichlet self) -> NumericalPoint"""
return _dist_bundle1.Dirichlet_getStandardDeviation(self)
def getSkewness(self):
"""getSkewness(Dirichlet self) -> NumericalPoint"""
return _dist_bundle1.Dirichlet_getSkewness(self)
def getKurtosis(self):
"""getKurtosis(Dirichlet self) -> NumericalPoint"""
return _dist_bundle1.Dirichlet_getKurtosis(self)
def getParametersCollection(self):
"""getParametersCollection(Dirichlet self) -> NumericalPointWithDescriptionCollection"""
return _dist_bundle1.Dirichlet_getParametersCollection(self)
def setParametersCollection(self, *args):
"""
setParametersCollection(Dirichlet self, NumericalPointWithDescriptionCollection parametersCollection)
setParametersCollection(Dirichlet self, NumericalPointCollection parametersCollection)
setParametersCollection(Dirichlet self, NumericalPoint parameters)
setParametersCollection(Dirichlet self, NumericalPointCollection parametersCollection)
"""
return _dist_bundle1.Dirichlet_setParametersCollection(self, *args)
def setTheta(self, *args):
"""setTheta(Dirichlet self, NumericalPoint theta)"""
return _dist_bundle1.Dirichlet_setTheta(self, *args)
def getTheta(self):
"""getTheta(Dirichlet self) -> NumericalPoint"""
return _dist_bundle1.Dirichlet_getTheta(self)
def computeConditionalPDF(self, *args):
"""computeConditionalPDF(Dirichlet self, OT::NumericalScalar const x, NumericalPoint y) -> OT::NumericalScalar"""
return _dist_bundle1.Dirichlet_computeConditionalPDF(self, *args)
def computeConditionalCDF(self, *args):
"""computeConditionalCDF(Dirichlet self, OT::NumericalScalar const x, NumericalPoint y) -> OT::NumericalScalar"""
return _dist_bundle1.Dirichlet_computeConditionalCDF(self, *args)
def computeConditionalQuantile(self, *args):
"""computeConditionalQuantile(Dirichlet self, OT::NumericalScalar const q, NumericalPoint y) -> OT::NumericalScalar"""
return _dist_bundle1.Dirichlet_computeConditionalQuantile(self, *args)
def getMarginal(self, *args):
"""
getMarginal(Dirichlet self, OT::UnsignedLong const i) -> DistributionImplementationPointer
getMarginal(Dirichlet self, Indices indices) -> DistributionImplementationPointer
"""
return _dist_bundle1.Dirichlet_getMarginal(self, *args)
def __init__(self, *args):
"""
__init__(OT::Dirichlet self) -> Dirichlet
__init__(OT::Dirichlet self, NumericalPoint theta) -> Dirichlet
__init__(OT::Dirichlet self, Dirichlet other) -> Dirichlet
"""
this = _dist_bundle1.new_Dirichlet(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _dist_bundle1.delete_Dirichlet
__del__ = lambda self : None;
Dirichlet_swigregister = _dist_bundle1.Dirichlet_swigregister
Dirichlet_swigregister(Dirichlet)
def Dirichlet_GetClassName():
"""Dirichlet_GetClassName() -> OT::String"""
return _dist_bundle1.Dirichlet_GetClassName()
class DirichletFactory(openturns.model_copula.DistributionImplementationFactory):
"""Proxy of C++ OT::DirichletFactory class"""
__swig_setmethods__ = {}
for _s in [openturns.model_copula.DistributionImplementationFactory]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, DirichletFactory, name, value)
__swig_getmethods__ = {}
for _s in [openturns.model_copula.DistributionImplementationFactory]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, DirichletFactory, name)
__repr__ = _swig_repr
def GetClassName():
"""GetClassName() -> OT::String"""
return _dist_bundle1.DirichletFactory_GetClassName()
if _newclass:GetClassName = staticmethod(GetClassName)
__swig_getmethods__["GetClassName"] = lambda x: GetClassName
def getClassName(self):
"""getClassName(DirichletFactory self) -> OT::String"""
return _dist_bundle1.DirichletFactory_getClassName(self)
def build(self, *args):
"""
build(DirichletFactory self, NumericalSample sample) -> DistributionImplementationPointer
build(DirichletFactory self, NumericalSample sample, CovarianceMatrix covariance) -> DistributionImplementationPointer
build(DirichletFactory self, NumericalPointCollection parameters) -> DistributionImplementationPointer
build(DirichletFactory self, NumericalPointWithDescriptionCollection parameters) -> DistributionImplementationPointer
build(DirichletFactory self, NumericalSample sample) -> DistributionImplementationPointer
build(DirichletFactory self, NumericalPointCollection parameters) -> DistributionImplementationPointer
build(DirichletFactory self) -> DistributionImplementationPointer
"""
return _dist_bundle1.DirichletFactory_build(self, *args)
def buildAsDirichlet(self, *args):
"""
buildAsDirichlet(DirichletFactory self, NumericalSample sample) -> Dirichlet
buildAsDirichlet(DirichletFactory self, NumericalPointCollection parameters) -> Dirichlet
buildAsDirichlet(DirichletFactory self, NumericalPointWithDescriptionCollection parameters) -> Dirichlet
buildAsDirichlet(DirichletFactory self) -> Dirichlet
"""
return _dist_bundle1.DirichletFactory_buildAsDirichlet(self, *args)
def __init__(self, *args):
"""
__init__(OT::DirichletFactory self) -> DirichletFactory
__init__(OT::DirichletFactory self, DirichletFactory other) -> DirichletFactory
"""
this = _dist_bundle1.new_DirichletFactory(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _dist_bundle1.delete_DirichletFactory
__del__ = lambda self : None;
DirichletFactory_swigregister = _dist_bundle1.DirichletFactory_swigregister
DirichletFactory_swigregister(DirichletFactory)
def DirichletFactory_GetClassName():
"""DirichletFactory_GetClassName() -> OT::String"""
return _dist_bundle1.DirichletFactory_GetClassName()
class Epanechnikov(openturns.model_copula.NonEllipticalDistribution):
"""Proxy of C++ OT::Epanechnikov class"""
__swig_setmethods__ = {}
for _s in [openturns.model_copula.NonEllipticalDistribution]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, Epanechnikov, name, value)
__swig_getmethods__ = {}
for _s in [openturns.model_copula.NonEllipticalDistribution]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, Epanechnikov, name)
def GetClassName():
"""GetClassName() -> OT::String"""
return _dist_bundle1.Epanechnikov_GetClassName()
if _newclass:GetClassName = staticmethod(GetClassName)
__swig_getmethods__["GetClassName"] = lambda x: GetClassName
def getClassName(self):
"""getClassName(Epanechnikov self) -> OT::String"""
return _dist_bundle1.Epanechnikov_getClassName(self)
RT = _dist_bundle1.Epanechnikov_RT
MUSIGMA = _dist_bundle1.Epanechnikov_MUSIGMA
def __eq__(self, *args):
"""__eq__(Epanechnikov self, Epanechnikov other) -> OT::Bool"""
return _dist_bundle1.Epanechnikov___eq__(self, *args)
def __repr__(self):
"""__repr__(Epanechnikov self) -> OT::String"""
return _dist_bundle1.Epanechnikov___repr__(self)
def __str__(self, offset=""):
"""
__str__(Epanechnikov self, OT::String const & offset="") -> OT::String
__str__(Epanechnikov self) -> OT::String
"""
return _dist_bundle1.Epanechnikov___str__(self, offset)
def computeDDF(self, *args):
"""
computeDDF(Epanechnikov self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeDDF(Epanechnikov self, NumericalPoint point) -> NumericalPoint
computeDDF(Epanechnikov self, NumericalSample sample) -> NumericalSample
computeDDF(Epanechnikov self, NumericalPoint point) -> NumericalPoint
"""
return _dist_bundle1.Epanechnikov_computeDDF(self, *args)
def computePDF(self, *args):
"""
computePDF(Epanechnikov self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computePDF(Epanechnikov self, NumericalPoint point) -> OT::NumericalScalar
computePDF(Epanechnikov self, NumericalSample sample) -> NumericalSample
computePDF(Epanechnikov self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultPDFEpsilon")) -> NumericalSample
computePDF(Epanechnikov self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computePDF(Epanechnikov self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid,
OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultPDFEpsilon")) -> NumericalSample
computePDF(Epanechnikov self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
computePDF(Epanechnikov self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle1.Epanechnikov_computePDF(self, *args)
def computeCDF(self, *args):
"""
computeCDF(Epanechnikov self, OT::NumericalScalar const scalar, OT::Bool const tail) -> OT::NumericalScalar
computeCDF(Epanechnikov self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeCDF(Epanechnikov self, NumericalPoint point, OT::Bool const tail) -> OT::NumericalScalar
computeCDF(Epanechnikov self, NumericalPoint point) -> OT::NumericalScalar
computeCDF(Epanechnikov self, NumericalSample sample, OT::Bool const tail) -> NumericalSample
computeCDF(Epanechnikov self, NumericalSample sample) -> NumericalSample
computeCDF(Epanechnikov self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
computeCDF(Epanechnikov self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computeCDF(Epanechnikov self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid,
OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
computeCDF(Epanechnikov self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
computeCDF(Epanechnikov self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle1.Epanechnikov_computeCDF(self, *args)
def computeComplementaryCDF(self, *args):
"""
computeComplementaryCDF(Epanechnikov self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeComplementaryCDF(Epanechnikov self, NumericalPoint point) -> OT::NumericalScalar
computeComplementaryCDF(Epanechnikov self, NumericalSample sample) -> NumericalSample
computeComplementaryCDF(Epanechnikov self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
computeComplementaryCDF(Epanechnikov self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computeComplementaryCDF(Epanechnikov self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle1.Epanechnikov_computeComplementaryCDF(self, *args)
def computePDFGradient(self, *args):
"""computePDFGradient(Epanechnikov self, NumericalPoint point) -> NumericalPoint"""
return _dist_bundle1.Epanechnikov_computePDFGradient(self, *args)
def computeCDFGradient(self, *args):
"""computeCDFGradient(Epanechnikov self, NumericalPoint point) -> NumericalPoint"""
return _dist_bundle1.Epanechnikov_computeCDFGradient(self, *args)
def getRoughness(self):
"""getRoughness(Epanechnikov self) -> OT::NumericalScalar"""
return _dist_bundle1.Epanechnikov_getRoughness(self)
def getStandardDeviation(self):
"""getStandardDeviation(Epanechnikov self) -> NumericalPoint"""
return _dist_bundle1.Epanechnikov_getStandardDeviation(self)
def getSkewness(self):
"""getSkewness(Epanechnikov self) -> NumericalPoint"""
return _dist_bundle1.Epanechnikov_getSkewness(self)
def getKurtosis(self):
"""getKurtosis(Epanechnikov self) -> NumericalPoint"""
return _dist_bundle1.Epanechnikov_getKurtosis(self)
def getStandardMoment(self, *args):
"""getStandardMoment(Epanechnikov self, OT::UnsignedLong const n) -> NumericalPoint"""
return _dist_bundle1.Epanechnikov_getStandardMoment(self, *args)
def getParametersCollection(self):
"""getParametersCollection(Epanechnikov self) -> NumericalPointWithDescriptionCollection"""
return _dist_bundle1.Epanechnikov_getParametersCollection(self)
def __init__(self, *args):
"""
__init__(OT::Epanechnikov self) -> Epanechnikov
__init__(OT::Epanechnikov self, Epanechnikov other) -> Epanechnikov
"""
this = _dist_bundle1.new_Epanechnikov(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _dist_bundle1.delete_Epanechnikov
__del__ = lambda self : None;
Epanechnikov_swigregister = _dist_bundle1.Epanechnikov_swigregister
Epanechnikov_swigregister(Epanechnikov)
def Epanechnikov_GetClassName():
"""Epanechnikov_GetClassName() -> OT::String"""
return _dist_bundle1.Epanechnikov_GetClassName()
class Exponential(openturns.model_copula.NonEllipticalDistribution):
"""Proxy of C++ OT::Exponential class"""
__swig_setmethods__ = {}
for _s in [openturns.model_copula.NonEllipticalDistribution]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, Exponential, name, value)
__swig_getmethods__ = {}
for _s in [openturns.model_copula.NonEllipticalDistribution]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, Exponential, name)
def GetClassName():
"""GetClassName() -> OT::String"""
return _dist_bundle1.Exponential_GetClassName()
if _newclass:GetClassName = staticmethod(GetClassName)
__swig_getmethods__["GetClassName"] = lambda x: GetClassName
def getClassName(self):
"""getClassName(Exponential self) -> OT::String"""
return _dist_bundle1.Exponential_getClassName(self)
def __eq__(self, *args):
"""__eq__(Exponential self, Exponential other) -> OT::Bool"""
return _dist_bundle1.Exponential___eq__(self, *args)
def __repr__(self):
"""__repr__(Exponential self) -> OT::String"""
return _dist_bundle1.Exponential___repr__(self)
def __str__(self, offset=""):
"""
__str__(Exponential self, OT::String const & offset="") -> OT::String
__str__(Exponential self) -> OT::String
"""
return _dist_bundle1.Exponential___str__(self, offset)
def getRealization(self):
"""getRealization(Exponential self) -> NumericalPoint"""
return _dist_bundle1.Exponential_getRealization(self)
def computeDDF(self, *args):
"""
computeDDF(Exponential self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeDDF(Exponential self, NumericalPoint point) -> NumericalPoint
computeDDF(Exponential self, NumericalSample sample) -> NumericalSample
computeDDF(Exponential self, NumericalPoint point) -> NumericalPoint
"""
return _dist_bundle1.Exponential_computeDDF(self, *args)
def computePDF(self, *args):
"""
computePDF(Exponential self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computePDF(Exponential self, NumericalPoint point) -> OT::NumericalScalar
computePDF(Exponential self, NumericalSample sample) -> NumericalSample
computePDF(Exponential self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultPDFEpsilon")) -> NumericalSample
computePDF(Exponential self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computePDF(Exponential self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid,
OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultPDFEpsilon")) -> NumericalSample
computePDF(Exponential self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
computePDF(Exponential self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle1.Exponential_computePDF(self, *args)
def computeLogPDF(self, *args):
"""
computeLogPDF(Exponential self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeLogPDF(Exponential self, NumericalPoint point) -> OT::NumericalScalar
computeLogPDF(Exponential self, NumericalSample sample) -> NumericalSample
computeLogPDF(Exponential self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle1.Exponential_computeLogPDF(self, *args)
def computeCDF(self, *args):
"""
computeCDF(Exponential self, OT::NumericalScalar const scalar, OT::Bool const tail) -> OT::NumericalScalar
computeCDF(Exponential self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeCDF(Exponential self, NumericalPoint point, OT::Bool const tail) -> OT::NumericalScalar
computeCDF(Exponential self, NumericalPoint point) -> OT::NumericalScalar
computeCDF(Exponential self, NumericalSample sample, OT::Bool const tail) -> NumericalSample
computeCDF(Exponential self, NumericalSample sample) -> NumericalSample
computeCDF(Exponential self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
computeCDF(Exponential self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computeCDF(Exponential self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid,
OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
computeCDF(Exponential self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
computeCDF(Exponential self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle1.Exponential_computeCDF(self, *args)
def computeCharacteristicFunction(self, *args):
"""computeCharacteristicFunction(Exponential self, OT::NumericalScalar const x) -> OT::NumericalComplex"""
return _dist_bundle1.Exponential_computeCharacteristicFunction(self, *args)
def computeLogCharacteristicFunction(self, *args):
"""computeLogCharacteristicFunction(Exponential self, OT::NumericalScalar const x) -> OT::NumericalComplex"""
return _dist_bundle1.Exponential_computeLogCharacteristicFunction(self, *args)
def computePDFGradient(self, *args):
"""computePDFGradient(Exponential self, NumericalPoint point) -> NumericalPoint"""
return _dist_bundle1.Exponential_computePDFGradient(self, *args)
def computeCDFGradient(self, *args):
"""computeCDFGradient(Exponential self, NumericalPoint point) -> NumericalPoint"""
return _dist_bundle1.Exponential_computeCDFGradient(self, *args)
def getStandardDeviation(self):
"""getStandardDeviation(Exponential self) -> NumericalPoint"""
return _dist_bundle1.Exponential_getStandardDeviation(self)
def getSkewness(self):
"""getSkewness(Exponential self) -> NumericalPoint"""
return _dist_bundle1.Exponential_getSkewness(self)
def getKurtosis(self):
"""getKurtosis(Exponential self) -> NumericalPoint"""
return _dist_bundle1.Exponential_getKurtosis(self)
def getStandardMoment(self, *args):
"""getStandardMoment(Exponential self, OT::UnsignedLong const n) -> NumericalPoint"""
return _dist_bundle1.Exponential_getStandardMoment(self, *args)
def getStandardRepresentative(self):
"""getStandardRepresentative(Exponential self) -> DistributionImplementationPointer"""
return _dist_bundle1.Exponential_getStandardRepresentative(self)
def getParametersCollection(self):
"""getParametersCollection(Exponential self) -> NumericalPointWithDescriptionCollection"""
return _dist_bundle1.Exponential_getParametersCollection(self)
def setParametersCollection(self, *args):
"""
setParametersCollection(Exponential self, NumericalPointWithDescriptionCollection parametersCollection)
setParametersCollection(Exponential self, NumericalPointCollection parametersCollection)
setParametersCollection(Exponential self, NumericalPoint parameters)
setParametersCollection(Exponential self, NumericalPointCollection parametersCollection)
"""
return _dist_bundle1.Exponential_setParametersCollection(self, *args)
def setLambda(self, *args):
"""setLambda(Exponential self, OT::NumericalScalar const _lambda)"""
return _dist_bundle1.Exponential_setLambda(self, *args)
def getLambda(self):
"""getLambda(Exponential self) -> OT::NumericalScalar"""
return _dist_bundle1.Exponential_getLambda(self)
def setGamma(self, *args):
"""setGamma(Exponential self, OT::NumericalScalar const gamma)"""
return _dist_bundle1.Exponential_setGamma(self, *args)
def getGamma(self):
"""getGamma(Exponential self) -> OT::NumericalScalar"""
return _dist_bundle1.Exponential_getGamma(self)
def __init__(self, *args):
"""
__init__(OT::Exponential self) -> Exponential
__init__(OT::Exponential self, OT::NumericalScalar const _lambda, OT::NumericalScalar const gamma=0.0) -> Exponential
__init__(OT::Exponential self, OT::NumericalScalar const _lambda) -> Exponential
__init__(OT::Exponential self, Exponential other) -> Exponential
"""
this = _dist_bundle1.new_Exponential(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _dist_bundle1.delete_Exponential
__del__ = lambda self : None;
Exponential_swigregister = _dist_bundle1.Exponential_swigregister
Exponential_swigregister(Exponential)
def Exponential_GetClassName():
"""Exponential_GetClassName() -> OT::String"""
return _dist_bundle1.Exponential_GetClassName()
class ExponentialFactory(openturns.model_copula.DistributionImplementationFactory):
"""Proxy of C++ OT::ExponentialFactory class"""
__swig_setmethods__ = {}
for _s in [openturns.model_copula.DistributionImplementationFactory]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, ExponentialFactory, name, value)
__swig_getmethods__ = {}
for _s in [openturns.model_copula.DistributionImplementationFactory]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, ExponentialFactory, name)
__repr__ = _swig_repr
def GetClassName():
"""GetClassName() -> OT::String"""
return _dist_bundle1.ExponentialFactory_GetClassName()
if _newclass:GetClassName = staticmethod(GetClassName)
__swig_getmethods__["GetClassName"] = lambda x: GetClassName
def getClassName(self):
"""getClassName(ExponentialFactory self) -> OT::String"""
return _dist_bundle1.ExponentialFactory_getClassName(self)
def build(self, *args):
"""
build(ExponentialFactory self, NumericalSample sample) -> DistributionImplementationPointer
build(ExponentialFactory self, NumericalSample sample, CovarianceMatrix covariance) -> DistributionImplementationPointer
build(ExponentialFactory self, NumericalPointCollection parameters) -> DistributionImplementationPointer
build(ExponentialFactory self, NumericalPointWithDescriptionCollection parameters) -> DistributionImplementationPointer
build(ExponentialFactory self, NumericalSample sample) -> DistributionImplementationPointer
build(ExponentialFactory self, NumericalPointCollection parameters) -> DistributionImplementationPointer
build(ExponentialFactory self) -> DistributionImplementationPointer
"""
return _dist_bundle1.ExponentialFactory_build(self, *args)
def buildAsExponential(self, *args):
"""
buildAsExponential(ExponentialFactory self, NumericalSample sample) -> Exponential
buildAsExponential(ExponentialFactory self, NumericalPointCollection parameters) -> Exponential
buildAsExponential(ExponentialFactory self, NumericalPointWithDescriptionCollection parameters) -> Exponential
buildAsExponential(ExponentialFactory self) -> Exponential
"""
return _dist_bundle1.ExponentialFactory_buildAsExponential(self, *args)
def __init__(self, *args):
"""
__init__(OT::ExponentialFactory self) -> ExponentialFactory
__init__(OT::ExponentialFactory self, ExponentialFactory other) -> ExponentialFactory
"""
this = _dist_bundle1.new_ExponentialFactory(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _dist_bundle1.delete_ExponentialFactory
__del__ = lambda self : None;
ExponentialFactory_swigregister = _dist_bundle1.ExponentialFactory_swigregister
ExponentialFactory_swigregister(ExponentialFactory)
def ExponentialFactory_GetClassName():
"""ExponentialFactory_GetClassName() -> OT::String"""
return _dist_bundle1.ExponentialFactory_GetClassName()
class FisherSnedecor(openturns.model_copula.NonEllipticalDistribution):
"""Proxy of C++ OT::FisherSnedecor class"""
__swig_setmethods__ = {}
for _s in [openturns.model_copula.NonEllipticalDistribution]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, FisherSnedecor, name, value)
__swig_getmethods__ = {}
for _s in [openturns.model_copula.NonEllipticalDistribution]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, FisherSnedecor, name)
def GetClassName():
"""GetClassName() -> OT::String"""
return _dist_bundle1.FisherSnedecor_GetClassName()
if _newclass:GetClassName = staticmethod(GetClassName)
__swig_getmethods__["GetClassName"] = lambda x: GetClassName
def getClassName(self):
"""getClassName(FisherSnedecor self) -> OT::String"""
return _dist_bundle1.FisherSnedecor_getClassName(self)
def __eq__(self, *args):
"""__eq__(FisherSnedecor self, FisherSnedecor other) -> OT::Bool"""
return _dist_bundle1.FisherSnedecor___eq__(self, *args)
def __repr__(self):
"""__repr__(FisherSnedecor self) -> OT::String"""
return _dist_bundle1.FisherSnedecor___repr__(self)
def __str__(self, offset=""):
"""
__str__(FisherSnedecor self, OT::String const & offset="") -> OT::String
__str__(FisherSnedecor self) -> OT::String
"""
return _dist_bundle1.FisherSnedecor___str__(self, offset)
def getRealization(self):
"""getRealization(FisherSnedecor self) -> NumericalPoint"""
return _dist_bundle1.FisherSnedecor_getRealization(self)
def computePDF(self, *args):
"""
computePDF(FisherSnedecor self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computePDF(FisherSnedecor self, NumericalPoint point) -> OT::NumericalScalar
computePDF(FisherSnedecor self, NumericalSample sample) -> NumericalSample
computePDF(FisherSnedecor self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultPDFEpsilon")) -> NumericalSample
computePDF(FisherSnedecor self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computePDF(FisherSnedecor self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid,
OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultPDFEpsilon")) -> NumericalSample
computePDF(FisherSnedecor self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
computePDF(FisherSnedecor self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle1.FisherSnedecor_computePDF(self, *args)
def computeLogPDF(self, *args):
"""
computeLogPDF(FisherSnedecor self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeLogPDF(FisherSnedecor self, NumericalPoint point) -> OT::NumericalScalar
computeLogPDF(FisherSnedecor self, NumericalSample sample) -> NumericalSample
computeLogPDF(FisherSnedecor self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle1.FisherSnedecor_computeLogPDF(self, *args)
def computeCDF(self, *args):
"""
computeCDF(FisherSnedecor self, OT::NumericalScalar const scalar, OT::Bool const tail) -> OT::NumericalScalar
computeCDF(FisherSnedecor self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeCDF(FisherSnedecor self, NumericalPoint point, OT::Bool const tail) -> OT::NumericalScalar
computeCDF(FisherSnedecor self, NumericalPoint point) -> OT::NumericalScalar
computeCDF(FisherSnedecor self, NumericalSample sample, OT::Bool const tail) -> NumericalSample
computeCDF(FisherSnedecor self, NumericalSample sample) -> NumericalSample
computeCDF(FisherSnedecor self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
computeCDF(FisherSnedecor self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computeCDF(FisherSnedecor self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid,
OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
computeCDF(FisherSnedecor self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
computeCDF(FisherSnedecor self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle1.FisherSnedecor_computeCDF(self, *args)
def getStandardDeviation(self):
"""getStandardDeviation(FisherSnedecor self) -> NumericalPoint"""
return _dist_bundle1.FisherSnedecor_getStandardDeviation(self)
def getSkewness(self):
"""getSkewness(FisherSnedecor self) -> NumericalPoint"""
return _dist_bundle1.FisherSnedecor_getSkewness(self)
def getKurtosis(self):
"""getKurtosis(FisherSnedecor self) -> NumericalPoint"""
return _dist_bundle1.FisherSnedecor_getKurtosis(self)
def getStandardMoment(self, *args):
"""getStandardMoment(FisherSnedecor self, OT::UnsignedLong const n) -> NumericalPoint"""
return _dist_bundle1.FisherSnedecor_getStandardMoment(self, *args)
def getParametersCollection(self):
"""getParametersCollection(FisherSnedecor self) -> NumericalPointWithDescriptionCollection"""
return _dist_bundle1.FisherSnedecor_getParametersCollection(self)
def setParametersCollection(self, *args):
"""
setParametersCollection(FisherSnedecor self, NumericalPointWithDescriptionCollection parametersCollection)
setParametersCollection(FisherSnedecor self, NumericalPointCollection parametersCollection)
setParametersCollection(FisherSnedecor self, NumericalPoint parameters)
setParametersCollection(FisherSnedecor self, NumericalPointCollection parametersCollection)
"""
return _dist_bundle1.FisherSnedecor_setParametersCollection(self, *args)
def setD1(self, *args):
"""setD1(FisherSnedecor self, OT::NumericalScalar const d1)"""
return _dist_bundle1.FisherSnedecor_setD1(self, *args)
def getD1(self):
"""getD1(FisherSnedecor self) -> OT::NumericalScalar"""
return _dist_bundle1.FisherSnedecor_getD1(self)
def setD2(self, *args):
"""setD2(FisherSnedecor self, OT::NumericalScalar const d2)"""
return _dist_bundle1.FisherSnedecor_setD2(self, *args)
def getD2(self):
"""getD2(FisherSnedecor self) -> OT::NumericalScalar"""
return _dist_bundle1.FisherSnedecor_getD2(self)
def __init__(self, *args):
"""
__init__(OT::FisherSnedecor self) -> FisherSnedecor
__init__(OT::FisherSnedecor self, OT::NumericalScalar const d1, OT::NumericalScalar const d2) -> FisherSnedecor
__init__(OT::FisherSnedecor self, FisherSnedecor other) -> FisherSnedecor
"""
this = _dist_bundle1.new_FisherSnedecor(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _dist_bundle1.delete_FisherSnedecor
__del__ = lambda self : None;
FisherSnedecor_swigregister = _dist_bundle1.FisherSnedecor_swigregister
FisherSnedecor_swigregister(FisherSnedecor)
def FisherSnedecor_GetClassName():
"""FisherSnedecor_GetClassName() -> OT::String"""
return _dist_bundle1.FisherSnedecor_GetClassName()
class FisherSnedecorFactory(openturns.model_copula.DistributionImplementationFactory):
"""Proxy of C++ OT::FisherSnedecorFactory class"""
__swig_setmethods__ = {}
for _s in [openturns.model_copula.DistributionImplementationFactory]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, FisherSnedecorFactory, name, value)
__swig_getmethods__ = {}
for _s in [openturns.model_copula.DistributionImplementationFactory]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, FisherSnedecorFactory, name)
__repr__ = _swig_repr
def GetClassName():
"""GetClassName() -> OT::String"""
return _dist_bundle1.FisherSnedecorFactory_GetClassName()
if _newclass:GetClassName = staticmethod(GetClassName)
__swig_getmethods__["GetClassName"] = lambda x: GetClassName
def getClassName(self):
"""getClassName(FisherSnedecorFactory self) -> OT::String"""
return _dist_bundle1.FisherSnedecorFactory_getClassName(self)
def build(self, *args):
"""
build(FisherSnedecorFactory self, NumericalSample sample) -> DistributionImplementationPointer
build(FisherSnedecorFactory self, NumericalSample sample, CovarianceMatrix covariance) -> DistributionImplementationPointer
build(FisherSnedecorFactory self, NumericalPointCollection parameters) -> DistributionImplementationPointer
build(FisherSnedecorFactory self, NumericalPointWithDescriptionCollection parameters) -> DistributionImplementationPointer
build(FisherSnedecorFactory self, NumericalSample sample) -> DistributionImplementationPointer
build(FisherSnedecorFactory self, NumericalPointCollection parameters) -> DistributionImplementationPointer
build(FisherSnedecorFactory self) -> DistributionImplementationPointer
"""
return _dist_bundle1.FisherSnedecorFactory_build(self, *args)
def buildAsFisherSnedecor(self, *args):
"""
buildAsFisherSnedecor(FisherSnedecorFactory self, NumericalSample sample) -> FisherSnedecor
buildAsFisherSnedecor(FisherSnedecorFactory self, NumericalPointCollection parameters) -> FisherSnedecor
buildAsFisherSnedecor(FisherSnedecorFactory self, NumericalPointWithDescriptionCollection parameters) -> FisherSnedecor
buildAsFisherSnedecor(FisherSnedecorFactory self) -> FisherSnedecor
"""
return _dist_bundle1.FisherSnedecorFactory_buildAsFisherSnedecor(self, *args)
def __init__(self, *args):
"""
__init__(OT::FisherSnedecorFactory self) -> FisherSnedecorFactory
__init__(OT::FisherSnedecorFactory self, FisherSnedecorFactory other) -> FisherSnedecorFactory
"""
this = _dist_bundle1.new_FisherSnedecorFactory(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _dist_bundle1.delete_FisherSnedecorFactory
__del__ = lambda self : None;
FisherSnedecorFactory_swigregister = _dist_bundle1.FisherSnedecorFactory_swigregister
FisherSnedecorFactory_swigregister(FisherSnedecorFactory)
def FisherSnedecorFactory_GetClassName():
"""FisherSnedecorFactory_GetClassName() -> OT::String"""
return _dist_bundle1.FisherSnedecorFactory_GetClassName()
class Gamma(openturns.model_copula.NonEllipticalDistribution):
"""Proxy of C++ OT::Gamma class"""
__swig_setmethods__ = {}
for _s in [openturns.model_copula.NonEllipticalDistribution]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, Gamma, name, value)
__swig_getmethods__ = {}
for _s in [openturns.model_copula.NonEllipticalDistribution]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, Gamma, name)
def GetClassName():
"""GetClassName() -> OT::String"""
return _dist_bundle1.Gamma_GetClassName()
if _newclass:GetClassName = staticmethod(GetClassName)
__swig_getmethods__["GetClassName"] = lambda x: GetClassName
def getClassName(self):
"""getClassName(Gamma self) -> OT::String"""
return _dist_bundle1.Gamma_getClassName(self)
KLAMBDA = _dist_bundle1.Gamma_KLAMBDA
MUSIGMA = _dist_bundle1.Gamma_MUSIGMA
def __eq__(self, *args):
"""__eq__(Gamma self, Gamma other) -> OT::Bool"""
return _dist_bundle1.Gamma___eq__(self, *args)
def __repr__(self):
"""__repr__(Gamma self) -> OT::String"""
return _dist_bundle1.Gamma___repr__(self)
def __str__(self, offset=""):
"""
__str__(Gamma self, OT::String const & offset="") -> OT::String
__str__(Gamma self) -> OT::String
"""
return _dist_bundle1.Gamma___str__(self, offset)
def getRealization(self):
"""getRealization(Gamma self) -> NumericalPoint"""
return _dist_bundle1.Gamma_getRealization(self)
def computeDDF(self, *args):
"""
computeDDF(Gamma self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeDDF(Gamma self, NumericalPoint point) -> NumericalPoint
computeDDF(Gamma self, NumericalSample sample) -> NumericalSample
computeDDF(Gamma self, NumericalPoint point) -> NumericalPoint
"""
return _dist_bundle1.Gamma_computeDDF(self, *args)
def computePDF(self, *args):
"""
computePDF(Gamma self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computePDF(Gamma self, NumericalPoint point) -> OT::NumericalScalar
computePDF(Gamma self, NumericalSample sample) -> NumericalSample
computePDF(Gamma self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultPDFEpsilon")) -> NumericalSample
computePDF(Gamma self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computePDF(Gamma self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid,
OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultPDFEpsilon")) -> NumericalSample
computePDF(Gamma self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
computePDF(Gamma self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle1.Gamma_computePDF(self, *args)
def computeLogPDF(self, *args):
"""
computeLogPDF(Gamma self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeLogPDF(Gamma self, NumericalPoint point) -> OT::NumericalScalar
computeLogPDF(Gamma self, NumericalSample sample) -> NumericalSample
computeLogPDF(Gamma self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle1.Gamma_computeLogPDF(self, *args)
def computeCDF(self, *args):
"""
computeCDF(Gamma self, OT::NumericalScalar const scalar, OT::Bool const tail) -> OT::NumericalScalar
computeCDF(Gamma self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeCDF(Gamma self, NumericalPoint point, OT::Bool const tail) -> OT::NumericalScalar
computeCDF(Gamma self, NumericalPoint point) -> OT::NumericalScalar
computeCDF(Gamma self, NumericalSample sample, OT::Bool const tail) -> NumericalSample
computeCDF(Gamma self, NumericalSample sample) -> NumericalSample
computeCDF(Gamma self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
computeCDF(Gamma self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computeCDF(Gamma self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid,
OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
computeCDF(Gamma self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
computeCDF(Gamma self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle1.Gamma_computeCDF(self, *args)
def computeComplementaryCDF(self, *args):
"""
computeComplementaryCDF(Gamma self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeComplementaryCDF(Gamma self, NumericalPoint point) -> OT::NumericalScalar
computeComplementaryCDF(Gamma self, NumericalSample sample) -> NumericalSample
computeComplementaryCDF(Gamma self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
computeComplementaryCDF(Gamma self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computeComplementaryCDF(Gamma self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle1.Gamma_computeComplementaryCDF(self, *args)
def computeCharacteristicFunction(self, *args):
"""computeCharacteristicFunction(Gamma self, OT::NumericalScalar const x) -> OT::NumericalComplex"""
return _dist_bundle1.Gamma_computeCharacteristicFunction(self, *args)
def computeLogCharacteristicFunction(self, *args):
"""computeLogCharacteristicFunction(Gamma self, OT::NumericalScalar const x) -> OT::NumericalComplex"""
return _dist_bundle1.Gamma_computeLogCharacteristicFunction(self, *args)
def computePDFGradient(self, *args):
"""computePDFGradient(Gamma self, NumericalPoint point) -> NumericalPoint"""
return _dist_bundle1.Gamma_computePDFGradient(self, *args)
def computeCDFGradient(self, *args):
"""computeCDFGradient(Gamma self, NumericalPoint point) -> NumericalPoint"""
return _dist_bundle1.Gamma_computeCDFGradient(self, *args)
def getStandardDeviation(self):
"""getStandardDeviation(Gamma self) -> NumericalPoint"""
return _dist_bundle1.Gamma_getStandardDeviation(self)
def getSkewness(self):
"""getSkewness(Gamma self) -> NumericalPoint"""
return _dist_bundle1.Gamma_getSkewness(self)
def getKurtosis(self):
"""getKurtosis(Gamma self) -> NumericalPoint"""
return _dist_bundle1.Gamma_getKurtosis(self)
def getStandardMoment(self, *args):
"""getStandardMoment(Gamma self, OT::UnsignedLong const n) -> NumericalPoint"""
return _dist_bundle1.Gamma_getStandardMoment(self, *args)
def getStandardRepresentative(self):
"""getStandardRepresentative(Gamma self) -> DistributionImplementationPointer"""
return _dist_bundle1.Gamma_getStandardRepresentative(self)
def getParametersCollection(self):
"""getParametersCollection(Gamma self) -> NumericalPointWithDescriptionCollection"""
return _dist_bundle1.Gamma_getParametersCollection(self)
def setParametersCollection(self, *args):
"""
setParametersCollection(Gamma self, NumericalPointWithDescriptionCollection parametersCollection)
setParametersCollection(Gamma self, NumericalPointCollection parametersCollection)
setParametersCollection(Gamma self, NumericalPoint parameters)
setParametersCollection(Gamma self, NumericalPointCollection parametersCollection)
"""
return _dist_bundle1.Gamma_setParametersCollection(self, *args)
def setK(self, *args):
"""setK(Gamma self, OT::NumericalScalar const k)"""
return _dist_bundle1.Gamma_setK(self, *args)
def getK(self):
"""getK(Gamma self) -> OT::NumericalScalar"""
return _dist_bundle1.Gamma_getK(self)
def setLambda(self, *args):
"""setLambda(Gamma self, OT::NumericalScalar const _lambda)"""
return _dist_bundle1.Gamma_setLambda(self, *args)
def getLambda(self):
"""getLambda(Gamma self) -> OT::NumericalScalar"""
return _dist_bundle1.Gamma_getLambda(self)
def setKLambda(self, *args):
"""setKLambda(Gamma self, OT::NumericalScalar const k, OT::NumericalScalar const _lambda)"""
return _dist_bundle1.Gamma_setKLambda(self, *args)
def setMuSigma(self, *args):
"""setMuSigma(Gamma self, OT::NumericalScalar const mu, OT::NumericalScalar const sigma)"""
return _dist_bundle1.Gamma_setMuSigma(self, *args)
def getMu(self):
"""getMu(Gamma self) -> OT::NumericalScalar"""
return _dist_bundle1.Gamma_getMu(self)
def getSigma(self):
"""getSigma(Gamma self) -> OT::NumericalScalar"""
return _dist_bundle1.Gamma_getSigma(self)
def setGamma(self, *args):
"""setGamma(Gamma self, OT::NumericalScalar const gamma)"""
return _dist_bundle1.Gamma_setGamma(self, *args)
def getGamma(self):
"""getGamma(Gamma self) -> OT::NumericalScalar"""
return _dist_bundle1.Gamma_getGamma(self)
def __init__(self, *args):
"""
__init__(OT::Gamma self) -> Gamma
__init__(OT::Gamma self, OT::NumericalScalar const arg1, OT::NumericalScalar const arg2, OT::NumericalScalar const gamma=0.0,
OT::Gamma::ParameterSet const set=KLAMBDA) -> Gamma
__init__(OT::Gamma self, OT::NumericalScalar const arg1, OT::NumericalScalar const arg2, OT::NumericalScalar const gamma=0.0) -> Gamma
__init__(OT::Gamma self, OT::NumericalScalar const arg1, OT::NumericalScalar const arg2) -> Gamma
__init__(OT::Gamma self, Gamma other) -> Gamma
"""
this = _dist_bundle1.new_Gamma(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _dist_bundle1.delete_Gamma
__del__ = lambda self : None;
Gamma_swigregister = _dist_bundle1.Gamma_swigregister
Gamma_swigregister(Gamma)
def Gamma_GetClassName():
"""Gamma_GetClassName() -> OT::String"""
return _dist_bundle1.Gamma_GetClassName()
class GammaFactory(openturns.model_copula.DistributionImplementationFactory):
"""Proxy of C++ OT::GammaFactory class"""
__swig_setmethods__ = {}
for _s in [openturns.model_copula.DistributionImplementationFactory]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, GammaFactory, name, value)
__swig_getmethods__ = {}
for _s in [openturns.model_copula.DistributionImplementationFactory]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, GammaFactory, name)
__repr__ = _swig_repr
def GetClassName():
"""GetClassName() -> OT::String"""
return _dist_bundle1.GammaFactory_GetClassName()
if _newclass:GetClassName = staticmethod(GetClassName)
__swig_getmethods__["GetClassName"] = lambda x: GetClassName
def getClassName(self):
"""getClassName(GammaFactory self) -> OT::String"""
return _dist_bundle1.GammaFactory_getClassName(self)
def build(self, *args):
"""
build(GammaFactory self, NumericalSample sample) -> DistributionImplementationPointer
build(GammaFactory self, NumericalSample sample, CovarianceMatrix covariance) -> DistributionImplementationPointer
build(GammaFactory self, NumericalPointCollection parameters) -> DistributionImplementationPointer
build(GammaFactory self, NumericalPointWithDescriptionCollection parameters) -> DistributionImplementationPointer
build(GammaFactory self, NumericalSample sample) -> DistributionImplementationPointer
build(GammaFactory self, NumericalPointCollection parameters) -> DistributionImplementationPointer
build(GammaFactory self) -> DistributionImplementationPointer
"""
return _dist_bundle1.GammaFactory_build(self, *args)
def buildAsGamma(self, *args):
"""
buildAsGamma(GammaFactory self, NumericalSample sample) -> Gamma
buildAsGamma(GammaFactory self, NumericalPointCollection parameters) -> Gamma
buildAsGamma(GammaFactory self, NumericalPointWithDescriptionCollection parameters) -> Gamma
buildAsGamma(GammaFactory self) -> Gamma
"""
return _dist_bundle1.GammaFactory_buildAsGamma(self, *args)
def __init__(self, *args):
"""
__init__(OT::GammaFactory self) -> GammaFactory
__init__(OT::GammaFactory self, GammaFactory other) -> GammaFactory
"""
this = _dist_bundle1.new_GammaFactory(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _dist_bundle1.delete_GammaFactory
__del__ = lambda self : None;
GammaFactory_swigregister = _dist_bundle1.GammaFactory_swigregister
GammaFactory_swigregister(GammaFactory)
def GammaFactory_GetClassName():
"""GammaFactory_GetClassName() -> OT::String"""
return _dist_bundle1.GammaFactory_GetClassName()
class GeneralizedPareto(openturns.model_copula.NonEllipticalDistribution):
"""Proxy of C++ OT::GeneralizedPareto class"""
__swig_setmethods__ = {}
for _s in [openturns.model_copula.NonEllipticalDistribution]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, GeneralizedPareto, name, value)
__swig_getmethods__ = {}
for _s in [openturns.model_copula.NonEllipticalDistribution]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, GeneralizedPareto, name)
def GetClassName():
"""GetClassName() -> OT::String"""
return _dist_bundle1.GeneralizedPareto_GetClassName()
if _newclass:GetClassName = staticmethod(GetClassName)
__swig_getmethods__["GetClassName"] = lambda x: GetClassName
def getClassName(self):
"""getClassName(GeneralizedPareto self) -> OT::String"""
return _dist_bundle1.GeneralizedPareto_getClassName(self)
def __eq__(self, *args):
"""__eq__(GeneralizedPareto self, GeneralizedPareto other) -> OT::Bool"""
return _dist_bundle1.GeneralizedPareto___eq__(self, *args)
def __repr__(self):
"""__repr__(GeneralizedPareto self) -> OT::String"""
return _dist_bundle1.GeneralizedPareto___repr__(self)
def __str__(self, offset=""):
"""
__str__(GeneralizedPareto self, OT::String const & offset="") -> OT::String
__str__(GeneralizedPareto self) -> OT::String
"""
return _dist_bundle1.GeneralizedPareto___str__(self, offset)
def getRealization(self):
"""getRealization(GeneralizedPareto self) -> NumericalPoint"""
return _dist_bundle1.GeneralizedPareto_getRealization(self)
def computeDDF(self, *args):
"""
computeDDF(GeneralizedPareto self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeDDF(GeneralizedPareto self, NumericalPoint point) -> NumericalPoint
computeDDF(GeneralizedPareto self, NumericalSample sample) -> NumericalSample
computeDDF(GeneralizedPareto self, NumericalPoint point) -> NumericalPoint
"""
return _dist_bundle1.GeneralizedPareto_computeDDF(self, *args)
def computePDF(self, *args):
"""
computePDF(GeneralizedPareto self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computePDF(GeneralizedPareto self, NumericalPoint point) -> OT::NumericalScalar
computePDF(GeneralizedPareto self, NumericalSample sample) -> NumericalSample
computePDF(GeneralizedPareto self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultPDFEpsilon")) -> NumericalSample
computePDF(GeneralizedPareto self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computePDF(GeneralizedPareto self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid,
OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultPDFEpsilon")) -> NumericalSample
computePDF(GeneralizedPareto self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
computePDF(GeneralizedPareto self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle1.GeneralizedPareto_computePDF(self, *args)
def computeLogPDF(self, *args):
"""
computeLogPDF(GeneralizedPareto self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeLogPDF(GeneralizedPareto self, NumericalPoint point) -> OT::NumericalScalar
computeLogPDF(GeneralizedPareto self, NumericalSample sample) -> NumericalSample
computeLogPDF(GeneralizedPareto self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle1.GeneralizedPareto_computeLogPDF(self, *args)
def computeCDF(self, *args):
"""
computeCDF(GeneralizedPareto self, OT::NumericalScalar const scalar, OT::Bool const tail) -> OT::NumericalScalar
computeCDF(GeneralizedPareto self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeCDF(GeneralizedPareto self, NumericalPoint point, OT::Bool const tail) -> OT::NumericalScalar
computeCDF(GeneralizedPareto self, NumericalPoint point) -> OT::NumericalScalar
computeCDF(GeneralizedPareto self, NumericalSample sample, OT::Bool const tail) -> NumericalSample
computeCDF(GeneralizedPareto self, NumericalSample sample) -> NumericalSample
computeCDF(GeneralizedPareto self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
computeCDF(GeneralizedPareto self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computeCDF(GeneralizedPareto self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid,
OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
computeCDF(GeneralizedPareto self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
computeCDF(GeneralizedPareto self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle1.GeneralizedPareto_computeCDF(self, *args)
def computeComplementaryCDF(self, *args):
"""
computeComplementaryCDF(GeneralizedPareto self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeComplementaryCDF(GeneralizedPareto self, NumericalPoint point) -> OT::NumericalScalar
computeComplementaryCDF(GeneralizedPareto self, NumericalSample sample) -> NumericalSample
computeComplementaryCDF(GeneralizedPareto self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
computeComplementaryCDF(GeneralizedPareto self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computeComplementaryCDF(GeneralizedPareto self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle1.GeneralizedPareto_computeComplementaryCDF(self, *args)
def computeCharacteristicFunction(self, *args):
"""computeCharacteristicFunction(GeneralizedPareto self, OT::NumericalScalar const x) -> OT::NumericalComplex"""
return _dist_bundle1.GeneralizedPareto_computeCharacteristicFunction(self, *args)
def computeLogCharacteristicFunction(self, *args):
"""computeLogCharacteristicFunction(GeneralizedPareto self, OT::NumericalScalar const x) -> OT::NumericalComplex"""
return _dist_bundle1.GeneralizedPareto_computeLogCharacteristicFunction(self, *args)
def computePDFGradient(self, *args):
"""computePDFGradient(GeneralizedPareto self, NumericalPoint point) -> NumericalPoint"""
return _dist_bundle1.GeneralizedPareto_computePDFGradient(self, *args)
def computeCDFGradient(self, *args):
"""computeCDFGradient(GeneralizedPareto self, NumericalPoint point) -> NumericalPoint"""
return _dist_bundle1.GeneralizedPareto_computeCDFGradient(self, *args)
def getStandardDeviation(self):
"""getStandardDeviation(GeneralizedPareto self) -> NumericalPoint"""
return _dist_bundle1.GeneralizedPareto_getStandardDeviation(self)
def getSkewness(self):
"""getSkewness(GeneralizedPareto self) -> NumericalPoint"""
return _dist_bundle1.GeneralizedPareto_getSkewness(self)
def getKurtosis(self):
"""getKurtosis(GeneralizedPareto self) -> NumericalPoint"""
return _dist_bundle1.GeneralizedPareto_getKurtosis(self)
def getStandardMoment(self, *args):
"""getStandardMoment(GeneralizedPareto self, OT::UnsignedLong const n) -> NumericalPoint"""
return _dist_bundle1.GeneralizedPareto_getStandardMoment(self, *args)
def getStandardRepresentative(self):
"""getStandardRepresentative(GeneralizedPareto self) -> DistributionImplementationPointer"""
return _dist_bundle1.GeneralizedPareto_getStandardRepresentative(self)
def getParametersCollection(self):
"""getParametersCollection(GeneralizedPareto self) -> NumericalPointWithDescriptionCollection"""
return _dist_bundle1.GeneralizedPareto_getParametersCollection(self)
def setParametersCollection(self, *args):
"""
setParametersCollection(GeneralizedPareto self, NumericalPointWithDescriptionCollection parametersCollection)
setParametersCollection(GeneralizedPareto self, NumericalPointCollection parametersCollection)
setParametersCollection(GeneralizedPareto self, NumericalPoint parameters)
setParametersCollection(GeneralizedPareto self, NumericalPointCollection parametersCollection)
"""
return _dist_bundle1.GeneralizedPareto_setParametersCollection(self, *args)
def setSigma(self, *args):
"""setSigma(GeneralizedPareto self, OT::NumericalScalar const sigma)"""
return _dist_bundle1.GeneralizedPareto_setSigma(self, *args)
def getSigma(self):
"""getSigma(GeneralizedPareto self) -> OT::NumericalScalar"""
return _dist_bundle1.GeneralizedPareto_getSigma(self)
def setXi(self, *args):
"""setXi(GeneralizedPareto self, OT::NumericalScalar const xi)"""
return _dist_bundle1.GeneralizedPareto_setXi(self, *args)
def getXi(self):
"""getXi(GeneralizedPareto self) -> OT::NumericalScalar"""
return _dist_bundle1.GeneralizedPareto_getXi(self)
def __init__(self, *args):
"""
__init__(OT::GeneralizedPareto self) -> GeneralizedPareto
__init__(OT::GeneralizedPareto self, OT::NumericalScalar const sigma, OT::NumericalScalar const xi) -> GeneralizedPareto
__init__(OT::GeneralizedPareto self, GeneralizedPareto other) -> GeneralizedPareto
"""
this = _dist_bundle1.new_GeneralizedPareto(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _dist_bundle1.delete_GeneralizedPareto
__del__ = lambda self : None;
GeneralizedPareto_swigregister = _dist_bundle1.GeneralizedPareto_swigregister
GeneralizedPareto_swigregister(GeneralizedPareto)
def GeneralizedPareto_GetClassName():
"""GeneralizedPareto_GetClassName() -> OT::String"""
return _dist_bundle1.GeneralizedPareto_GetClassName()
class GeneralizedParetoFactory(openturns.model_copula.DistributionImplementationFactory):
"""Proxy of C++ OT::GeneralizedParetoFactory class"""
__swig_setmethods__ = {}
for _s in [openturns.model_copula.DistributionImplementationFactory]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, GeneralizedParetoFactory, name, value)
__swig_getmethods__ = {}
for _s in [openturns.model_copula.DistributionImplementationFactory]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, GeneralizedParetoFactory, name)
__repr__ = _swig_repr
def GetClassName():
"""GetClassName() -> OT::String"""
return _dist_bundle1.GeneralizedParetoFactory_GetClassName()
if _newclass:GetClassName = staticmethod(GetClassName)
__swig_getmethods__["GetClassName"] = lambda x: GetClassName
def getClassName(self):
"""getClassName(GeneralizedParetoFactory self) -> OT::String"""
return _dist_bundle1.GeneralizedParetoFactory_getClassName(self)
def build(self, *args):
"""
build(GeneralizedParetoFactory self, NumericalSample sample) -> DistributionImplementationPointer
build(GeneralizedParetoFactory self, NumericalSample sample, CovarianceMatrix covariance) -> DistributionImplementationPointer
build(GeneralizedParetoFactory self, NumericalPointCollection parameters) -> DistributionImplementationPointer
build(GeneralizedParetoFactory self, NumericalPointWithDescriptionCollection parameters) -> DistributionImplementationPointer
build(GeneralizedParetoFactory self, NumericalSample sample) -> DistributionImplementationPointer
build(GeneralizedParetoFactory self, NumericalPointCollection parameters) -> DistributionImplementationPointer
build(GeneralizedParetoFactory self) -> DistributionImplementationPointer
"""
return _dist_bundle1.GeneralizedParetoFactory_build(self, *args)
def buildAsGeneralizedPareto(self, *args):
"""
buildAsGeneralizedPareto(GeneralizedParetoFactory self, NumericalSample sample) -> GeneralizedPareto
buildAsGeneralizedPareto(GeneralizedParetoFactory self, NumericalPointCollection parameters) -> GeneralizedPareto
buildAsGeneralizedPareto(GeneralizedParetoFactory self, NumericalPointWithDescriptionCollection parameters) -> GeneralizedPareto
buildAsGeneralizedPareto(GeneralizedParetoFactory self) -> GeneralizedPareto
"""
return _dist_bundle1.GeneralizedParetoFactory_buildAsGeneralizedPareto(self, *args)
def buildMethodOfMoments(self, *args):
"""buildMethodOfMoments(GeneralizedParetoFactory self, NumericalSample sample) -> GeneralizedPareto"""
return _dist_bundle1.GeneralizedParetoFactory_buildMethodOfMoments(self, *args)
def buildMethodOfExponentialRegression(self, *args):
"""buildMethodOfExponentialRegression(GeneralizedParetoFactory self, NumericalSample sample) -> GeneralizedPareto"""
return _dist_bundle1.GeneralizedParetoFactory_buildMethodOfExponentialRegression(self, *args)
def buildMethodOfProbabilityWeightedMoments(self, *args):
"""buildMethodOfProbabilityWeightedMoments(GeneralizedParetoFactory self, NumericalSample sample) -> GeneralizedPareto"""
return _dist_bundle1.GeneralizedParetoFactory_buildMethodOfProbabilityWeightedMoments(self, *args)
def __init__(self, *args):
"""
__init__(OT::GeneralizedParetoFactory self) -> GeneralizedParetoFactory
__init__(OT::GeneralizedParetoFactory self, GeneralizedParetoFactory other) -> GeneralizedParetoFactory
"""
this = _dist_bundle1.new_GeneralizedParetoFactory(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _dist_bundle1.delete_GeneralizedParetoFactory
__del__ = lambda self : None;
GeneralizedParetoFactory_swigregister = _dist_bundle1.GeneralizedParetoFactory_swigregister
GeneralizedParetoFactory_swigregister(GeneralizedParetoFactory)
def GeneralizedParetoFactory_GetClassName():
"""GeneralizedParetoFactory_GetClassName() -> OT::String"""
return _dist_bundle1.GeneralizedParetoFactory_GetClassName()
class Geometric(openturns.model_copula.DiscreteDistribution):
"""Proxy of C++ OT::Geometric class"""
__swig_setmethods__ = {}
for _s in [openturns.model_copula.DiscreteDistribution]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, Geometric, name, value)
__swig_getmethods__ = {}
for _s in [openturns.model_copula.DiscreteDistribution]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, Geometric, name)
def GetClassName():
"""GetClassName() -> OT::String"""
return _dist_bundle1.Geometric_GetClassName()
if _newclass:GetClassName = staticmethod(GetClassName)
__swig_getmethods__["GetClassName"] = lambda x: GetClassName
def getClassName(self):
"""getClassName(Geometric self) -> OT::String"""
return _dist_bundle1.Geometric_getClassName(self)
def __eq__(self, *args):
"""__eq__(Geometric self, Geometric other) -> OT::Bool"""
return _dist_bundle1.Geometric___eq__(self, *args)
def __repr__(self):
"""__repr__(Geometric self) -> OT::String"""
return _dist_bundle1.Geometric___repr__(self)
def __str__(self, offset=""):
"""
__str__(Geometric self, OT::String const & offset="") -> OT::String
__str__(Geometric self) -> OT::String
"""
return _dist_bundle1.Geometric___str__(self, offset)
def getRealization(self):
"""getRealization(Geometric self) -> NumericalPoint"""
return _dist_bundle1.Geometric_getRealization(self)
def computePDF(self, *args):
"""
computePDF(Geometric self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computePDF(Geometric self, NumericalPoint point) -> OT::NumericalScalar
computePDF(Geometric self, NumericalSample sample) -> NumericalSample
computePDF(Geometric self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultPDFEpsilon")) -> NumericalSample
computePDF(Geometric self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computePDF(Geometric self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid,
OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultPDFEpsilon")) -> NumericalSample
computePDF(Geometric self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
computePDF(Geometric self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle1.Geometric_computePDF(self, *args)
def computeCDF(self, *args):
"""
computeCDF(Geometric self, OT::NumericalScalar const scalar, OT::Bool const tail) -> OT::NumericalScalar
computeCDF(Geometric self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeCDF(Geometric self, NumericalPoint point, OT::Bool const tail) -> OT::NumericalScalar
computeCDF(Geometric self, NumericalPoint point) -> OT::NumericalScalar
computeCDF(Geometric self, NumericalSample sample, OT::Bool const tail) -> NumericalSample
computeCDF(Geometric self, NumericalSample sample) -> NumericalSample
computeCDF(Geometric self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
computeCDF(Geometric self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computeCDF(Geometric self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid,
OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
computeCDF(Geometric self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
computeCDF(Geometric self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle1.Geometric_computeCDF(self, *args)
def computeComplementaryCDF(self, *args):
"""
computeComplementaryCDF(Geometric self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeComplementaryCDF(Geometric self, NumericalPoint point) -> OT::NumericalScalar
computeComplementaryCDF(Geometric self, NumericalSample sample) -> NumericalSample
computeComplementaryCDF(Geometric self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
computeComplementaryCDF(Geometric self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computeComplementaryCDF(Geometric self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle1.Geometric_computeComplementaryCDF(self, *args)
def computePDFGradient(self, *args):
"""computePDFGradient(Geometric self, NumericalPoint point) -> NumericalPoint"""
return _dist_bundle1.Geometric_computePDFGradient(self, *args)
def computeCDFGradient(self, *args):
"""computeCDFGradient(Geometric self, NumericalPoint point) -> NumericalPoint"""
return _dist_bundle1.Geometric_computeCDFGradient(self, *args)
def computeCharacteristicFunction(self, *args):
"""computeCharacteristicFunction(Geometric self, OT::NumericalScalar const x) -> OT::NumericalComplex"""
return _dist_bundle1.Geometric_computeCharacteristicFunction(self, *args)
def computeGeneratingFunction(self, *args):
"""computeGeneratingFunction(Geometric self, OT::NumericalComplex const & z) -> OT::NumericalComplex"""
return _dist_bundle1.Geometric_computeGeneratingFunction(self, *args)
def getSupport(self, *args):
"""
getSupport(Geometric self, Interval interval) -> NumericalSample
getSupport(Geometric self) -> NumericalSample
getSupport(Geometric self, Interval interval) -> NumericalSample
"""
return _dist_bundle1.Geometric_getSupport(self, *args)
def getStandardDeviation(self):
"""getStandardDeviation(Geometric self) -> NumericalPoint"""
return _dist_bundle1.Geometric_getStandardDeviation(self)
def getSkewness(self):
"""getSkewness(Geometric self) -> NumericalPoint"""
return _dist_bundle1.Geometric_getSkewness(self)
def getKurtosis(self):
"""getKurtosis(Geometric self) -> NumericalPoint"""
return _dist_bundle1.Geometric_getKurtosis(self)
def getParametersCollection(self):
"""getParametersCollection(Geometric self) -> NumericalPointWithDescriptionCollection"""
return _dist_bundle1.Geometric_getParametersCollection(self)
def setParametersCollection(self, *args):
"""
setParametersCollection(Geometric self, NumericalPointWithDescriptionCollection parametersCollection)
setParametersCollection(Geometric self, NumericalPointCollection parametersCollection)
setParametersCollection(Geometric self, NumericalPoint parameters)
setParametersCollection(Geometric self, NumericalPointCollection parametersCollection)
"""
return _dist_bundle1.Geometric_setParametersCollection(self, *args)
def setP(self, *args):
"""setP(Geometric self, OT::NumericalScalar const p)"""
return _dist_bundle1.Geometric_setP(self, *args)
def getP(self):
"""getP(Geometric self) -> OT::NumericalScalar"""
return _dist_bundle1.Geometric_getP(self)
def __init__(self, *args):
"""
__init__(OT::Geometric self) -> Geometric
__init__(OT::Geometric self, OT::NumericalScalar const p) -> Geometric
__init__(OT::Geometric self, Geometric other) -> Geometric
"""
this = _dist_bundle1.new_Geometric(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _dist_bundle1.delete_Geometric
__del__ = lambda self : None;
Geometric_swigregister = _dist_bundle1.Geometric_swigregister
Geometric_swigregister(Geometric)
def Geometric_GetClassName():
"""Geometric_GetClassName() -> OT::String"""
return _dist_bundle1.Geometric_GetClassName()
class GeometricFactory(openturns.model_copula.DistributionImplementationFactory):
"""Proxy of C++ OT::GeometricFactory class"""
__swig_setmethods__ = {}
for _s in [openturns.model_copula.DistributionImplementationFactory]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, GeometricFactory, name, value)
__swig_getmethods__ = {}
for _s in [openturns.model_copula.DistributionImplementationFactory]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, GeometricFactory, name)
__repr__ = _swig_repr
def GetClassName():
"""GetClassName() -> OT::String"""
return _dist_bundle1.GeometricFactory_GetClassName()
if _newclass:GetClassName = staticmethod(GetClassName)
__swig_getmethods__["GetClassName"] = lambda x: GetClassName
def getClassName(self):
"""getClassName(GeometricFactory self) -> OT::String"""
return _dist_bundle1.GeometricFactory_getClassName(self)
def build(self, *args):
"""
build(GeometricFactory self, NumericalSample sample) -> DistributionImplementationPointer
build(GeometricFactory self, NumericalSample sample, CovarianceMatrix covariance) -> DistributionImplementationPointer
build(GeometricFactory self, NumericalPointCollection parameters) -> DistributionImplementationPointer
build(GeometricFactory self, NumericalPointWithDescriptionCollection parameters) -> DistributionImplementationPointer
build(GeometricFactory self, NumericalSample sample) -> DistributionImplementationPointer
build(GeometricFactory self, NumericalPointCollection parameters) -> DistributionImplementationPointer
build(GeometricFactory self) -> DistributionImplementationPointer
"""
return _dist_bundle1.GeometricFactory_build(self, *args)
def buildAsGeometric(self, *args):
"""
buildAsGeometric(GeometricFactory self, NumericalSample sample) -> Geometric
buildAsGeometric(GeometricFactory self, NumericalPointCollection parameters) -> Geometric
buildAsGeometric(GeometricFactory self, NumericalPointWithDescriptionCollection parameters) -> Geometric
buildAsGeometric(GeometricFactory self) -> Geometric
"""
return _dist_bundle1.GeometricFactory_buildAsGeometric(self, *args)
def __init__(self, *args):
"""
__init__(OT::GeometricFactory self) -> GeometricFactory
__init__(OT::GeometricFactory self, GeometricFactory other) -> GeometricFactory
"""
this = _dist_bundle1.new_GeometricFactory(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _dist_bundle1.delete_GeometricFactory
__del__ = lambda self : None;
GeometricFactory_swigregister = _dist_bundle1.GeometricFactory_swigregister
GeometricFactory_swigregister(GeometricFactory)
def GeometricFactory_GetClassName():
"""GeometricFactory_GetClassName() -> OT::String"""
return _dist_bundle1.GeometricFactory_GetClassName()
class Gumbel(openturns.model_copula.NonEllipticalDistribution):
"""Proxy of C++ OT::Gumbel class"""
__swig_setmethods__ = {}
for _s in [openturns.model_copula.NonEllipticalDistribution]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, Gumbel, name, value)
__swig_getmethods__ = {}
for _s in [openturns.model_copula.NonEllipticalDistribution]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, Gumbel, name)
def GetClassName():
"""GetClassName() -> OT::String"""
return _dist_bundle1.Gumbel_GetClassName()
if _newclass:GetClassName = staticmethod(GetClassName)
__swig_getmethods__["GetClassName"] = lambda x: GetClassName
def getClassName(self):
"""getClassName(Gumbel self) -> OT::String"""
return _dist_bundle1.Gumbel_getClassName(self)
ALPHABETA = _dist_bundle1.Gumbel_ALPHABETA
MUSIGMA = _dist_bundle1.Gumbel_MUSIGMA
AB = _dist_bundle1.Gumbel_AB
def __eq__(self, *args):
"""__eq__(Gumbel self, Gumbel other) -> OT::Bool"""
return _dist_bundle1.Gumbel___eq__(self, *args)
def __repr__(self):
"""__repr__(Gumbel self) -> OT::String"""
return _dist_bundle1.Gumbel___repr__(self)
def __str__(self, offset=""):
"""
__str__(Gumbel self, OT::String const & offset="") -> OT::String
__str__(Gumbel self) -> OT::String
"""
return _dist_bundle1.Gumbel___str__(self, offset)
def getRealization(self):
"""getRealization(Gumbel self) -> NumericalPoint"""
return _dist_bundle1.Gumbel_getRealization(self)
def computeDDF(self, *args):
"""
computeDDF(Gumbel self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeDDF(Gumbel self, NumericalPoint point) -> NumericalPoint
computeDDF(Gumbel self, NumericalSample sample) -> NumericalSample
computeDDF(Gumbel self, NumericalPoint point) -> NumericalPoint
"""
return _dist_bundle1.Gumbel_computeDDF(self, *args)
def computePDF(self, *args):
"""
computePDF(Gumbel self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computePDF(Gumbel self, NumericalPoint point) -> OT::NumericalScalar
computePDF(Gumbel self, NumericalSample sample) -> NumericalSample
computePDF(Gumbel self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultPDFEpsilon")) -> NumericalSample
computePDF(Gumbel self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computePDF(Gumbel self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid,
OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultPDFEpsilon")) -> NumericalSample
computePDF(Gumbel self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
computePDF(Gumbel self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle1.Gumbel_computePDF(self, *args)
def computeLogPDF(self, *args):
"""
computeLogPDF(Gumbel self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeLogPDF(Gumbel self, NumericalPoint point) -> OT::NumericalScalar
computeLogPDF(Gumbel self, NumericalSample sample) -> NumericalSample
computeLogPDF(Gumbel self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle1.Gumbel_computeLogPDF(self, *args)
def computeCDF(self, *args):
"""
computeCDF(Gumbel self, OT::NumericalScalar const scalar, OT::Bool const tail) -> OT::NumericalScalar
computeCDF(Gumbel self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeCDF(Gumbel self, NumericalPoint point, OT::Bool const tail) -> OT::NumericalScalar
computeCDF(Gumbel self, NumericalPoint point) -> OT::NumericalScalar
computeCDF(Gumbel self, NumericalSample sample, OT::Bool const tail) -> NumericalSample
computeCDF(Gumbel self, NumericalSample sample) -> NumericalSample
computeCDF(Gumbel self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
computeCDF(Gumbel self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computeCDF(Gumbel self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid,
OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
computeCDF(Gumbel self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
computeCDF(Gumbel self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle1.Gumbel_computeCDF(self, *args)
def computeComplementaryCDF(self, *args):
"""
computeComplementaryCDF(Gumbel self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeComplementaryCDF(Gumbel self, NumericalPoint point) -> OT::NumericalScalar
computeComplementaryCDF(Gumbel self, NumericalSample sample) -> NumericalSample
computeComplementaryCDF(Gumbel self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
computeComplementaryCDF(Gumbel self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computeComplementaryCDF(Gumbel self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle1.Gumbel_computeComplementaryCDF(self, *args)
def computeCharacteristicFunction(self, *args):
"""computeCharacteristicFunction(Gumbel self, OT::NumericalScalar const x) -> OT::NumericalComplex"""
return _dist_bundle1.Gumbel_computeCharacteristicFunction(self, *args)
def computeLogCharacteristicFunction(self, *args):
"""computeLogCharacteristicFunction(Gumbel self, OT::NumericalScalar const x) -> OT::NumericalComplex"""
return _dist_bundle1.Gumbel_computeLogCharacteristicFunction(self, *args)
def computePDFGradient(self, *args):
"""computePDFGradient(Gumbel self, NumericalPoint point) -> NumericalPoint"""
return _dist_bundle1.Gumbel_computePDFGradient(self, *args)
def computeCDFGradient(self, *args):
"""computeCDFGradient(Gumbel self, NumericalPoint point) -> NumericalPoint"""
return _dist_bundle1.Gumbel_computeCDFGradient(self, *args)
def getStandardDeviation(self):
"""getStandardDeviation(Gumbel self) -> NumericalPoint"""
return _dist_bundle1.Gumbel_getStandardDeviation(self)
def getSkewness(self):
"""getSkewness(Gumbel self) -> NumericalPoint"""
return _dist_bundle1.Gumbel_getSkewness(self)
def getKurtosis(self):
"""getKurtosis(Gumbel self) -> NumericalPoint"""
return _dist_bundle1.Gumbel_getKurtosis(self)
def getStandardRepresentative(self):
"""getStandardRepresentative(Gumbel self) -> DistributionImplementationPointer"""
return _dist_bundle1.Gumbel_getStandardRepresentative(self)
def getParametersCollection(self):
"""getParametersCollection(Gumbel self) -> NumericalPointWithDescriptionCollection"""
return _dist_bundle1.Gumbel_getParametersCollection(self)
def setParametersCollection(self, *args):
"""
setParametersCollection(Gumbel self, NumericalPointWithDescriptionCollection parametersCollection)
setParametersCollection(Gumbel self, NumericalPointCollection parametersCollection)
setParametersCollection(Gumbel self, NumericalPoint parameters)
setParametersCollection(Gumbel self, NumericalPointCollection parametersCollection)
"""
return _dist_bundle1.Gumbel_setParametersCollection(self, *args)
def setAlpha(self, *args):
"""setAlpha(Gumbel self, OT::NumericalScalar const alpha)"""
return _dist_bundle1.Gumbel_setAlpha(self, *args)
def getAlpha(self):
"""getAlpha(Gumbel self) -> OT::NumericalScalar"""
return _dist_bundle1.Gumbel_getAlpha(self)
def setBeta(self, *args):
"""setBeta(Gumbel self, OT::NumericalScalar const beta)"""
return _dist_bundle1.Gumbel_setBeta(self, *args)
def getBeta(self):
"""getBeta(Gumbel self) -> OT::NumericalScalar"""
return _dist_bundle1.Gumbel_getBeta(self)
def setMuSigma(self, *args):
"""setMuSigma(Gumbel self, OT::NumericalScalar const mu, OT::NumericalScalar const sigma)"""
return _dist_bundle1.Gumbel_setMuSigma(self, *args)
def getMu(self):
"""getMu(Gumbel self) -> OT::NumericalScalar"""
return _dist_bundle1.Gumbel_getMu(self)
def getSigma(self):
"""getSigma(Gumbel self) -> OT::NumericalScalar"""
return _dist_bundle1.Gumbel_getSigma(self)
def setAB(self, *args):
"""setAB(Gumbel self, OT::NumericalScalar const a, OT::NumericalScalar const b)"""
return _dist_bundle1.Gumbel_setAB(self, *args)
def getA(self):
"""getA(Gumbel self) -> OT::NumericalScalar"""
return _dist_bundle1.Gumbel_getA(self)
def getB(self):
"""getB(Gumbel self) -> OT::NumericalScalar"""
return _dist_bundle1.Gumbel_getB(self)
def __init__(self, *args):
"""
__init__(OT::Gumbel self) -> Gumbel
__init__(OT::Gumbel self, OT::NumericalScalar const arg1, OT::NumericalScalar const arg2, OT::Gumbel::ParameterSet const set=ALPHABETA) -> Gumbel
__init__(OT::Gumbel self, OT::NumericalScalar const arg1, OT::NumericalScalar const arg2) -> Gumbel
__init__(OT::Gumbel self, Gumbel other) -> Gumbel
"""
this = _dist_bundle1.new_Gumbel(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _dist_bundle1.delete_Gumbel
__del__ = lambda self : None;
Gumbel_swigregister = _dist_bundle1.Gumbel_swigregister
Gumbel_swigregister(Gumbel)
def Gumbel_GetClassName():
"""Gumbel_GetClassName() -> OT::String"""
return _dist_bundle1.Gumbel_GetClassName()
class GumbelFactory(openturns.model_copula.DistributionImplementationFactory):
"""Proxy of C++ OT::GumbelFactory class"""
__swig_setmethods__ = {}
for _s in [openturns.model_copula.DistributionImplementationFactory]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, GumbelFactory, name, value)
__swig_getmethods__ = {}
for _s in [openturns.model_copula.DistributionImplementationFactory]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, GumbelFactory, name)
__repr__ = _swig_repr
def GetClassName():
"""GetClassName() -> OT::String"""
return _dist_bundle1.GumbelFactory_GetClassName()
if _newclass:GetClassName = staticmethod(GetClassName)
__swig_getmethods__["GetClassName"] = lambda x: GetClassName
def getClassName(self):
"""getClassName(GumbelFactory self) -> OT::String"""
return _dist_bundle1.GumbelFactory_getClassName(self)
def build(self, *args):
"""
build(GumbelFactory self, NumericalSample sample) -> DistributionImplementationPointer
build(GumbelFactory self, NumericalSample sample, CovarianceMatrix covariance) -> DistributionImplementationPointer
build(GumbelFactory self, NumericalPointCollection parameters) -> DistributionImplementationPointer
build(GumbelFactory self, NumericalPointWithDescriptionCollection parameters) -> DistributionImplementationPointer
build(GumbelFactory self, NumericalSample sample) -> DistributionImplementationPointer
build(GumbelFactory self, NumericalPointCollection parameters) -> DistributionImplementationPointer
build(GumbelFactory self) -> DistributionImplementationPointer
"""
return _dist_bundle1.GumbelFactory_build(self, *args)
def buildAsGumbel(self, *args):
"""
buildAsGumbel(GumbelFactory self, NumericalSample sample) -> Gumbel
buildAsGumbel(GumbelFactory self, NumericalPointCollection parameters) -> Gumbel
buildAsGumbel(GumbelFactory self, NumericalPointWithDescriptionCollection parameters) -> Gumbel
buildAsGumbel(GumbelFactory self) -> Gumbel
"""
return _dist_bundle1.GumbelFactory_buildAsGumbel(self, *args)
def __init__(self, *args):
"""
__init__(OT::GumbelFactory self) -> GumbelFactory
__init__(OT::GumbelFactory self, GumbelFactory other) -> GumbelFactory
"""
this = _dist_bundle1.new_GumbelFactory(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _dist_bundle1.delete_GumbelFactory
__del__ = lambda self : None;
GumbelFactory_swigregister = _dist_bundle1.GumbelFactory_swigregister
GumbelFactory_swigregister(GumbelFactory)
def GumbelFactory_GetClassName():
"""GumbelFactory_GetClassName() -> OT::String"""
return _dist_bundle1.GumbelFactory_GetClassName()
# This file is compatible with both classic and new-style classes.
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