/usr/share/pyshared/dipy/reconst/base.py is in python-dipy 0.7.1-2.
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Base-classes for reconstruction models and reconstruction fits.
All the models in the reconst module follow the same template: a Model object
is used to represent the abstract properties of the model, that are independent
of the specifics of the data . These properties are reused whenver fitting a
particular set of data (different voxels, for example).
"""
class ReconstModel(object):
""" Abstract class for signal reconstruction models
"""
def __init__(self, gtab):
"""
"""
self.gtab=gtab
def fit(self, data, mask=None,**kwargs):
return ReconstFit(self, data)
class ReconstFit(object):
""" Abstract class which holds the fit result of ReconstModel
For example that could be holding FA or GFA etc.
"""
def __init__(self, model, data):
self.model = model
self.data = data
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