/usr/include/shogun/ui/SGInterface.h is in libshogun-dev 3.2.0-7.5.
This file is owned by root:root, with mode 0o644.
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#define __SGINTERFACE__H_
#include <shogun/lib/config.h>
#include <shogun/lib/common.h>
#include <shogun/base/SGObject.h>
#include <shogun/features/Features.h>
#include <shogun/features/StringFeatures.h>
#include <shogun/features/SparseFeatures.h>
#include <shogun/features/AttributeFeatures.h>
#include <shogun/kernel/Kernel.h>
#include <shogun/ui/GUIClassifier.h>
#include <shogun/ui/GUIDistance.h>
#include <shogun/ui/GUIFeatures.h>
#include <shogun/ui/GUIHMM.h>
#include <shogun/ui/GUIKernel.h>
#include <shogun/ui/GUILabels.h>
#include <shogun/ui/GUIMath.h>
#include <shogun/ui/GUIPluginEstimate.h>
#include <shogun/ui/GUIPreprocessor.h>
#include <shogun/ui/GUITime.h>
#include <shogun/ui/GUIStructure.h>
#include <shogun/ui/GUIConverter.h>
namespace shogun
{
/** Interface datatypes that shogun supports. Note that some interfaces like e.g.
* octave/matlab cannot distinguish between scalars and matrices and thus might
* always return more complex types like matrices.
*/
enum IFType
{
/// undefined
UNDEFINED,
///simple scalar/string types
SCALAR_INT,
SCALAR_REAL,
SCALAR_BOOL,
STANDARD_STRING,
///vector type
VECTOR_BOOL,
VECTOR_BYTE,
VECTOR_CHAR,
VECTOR_INT,
VECTOR_REAL,
VECTOR_SHORTREAL,
VECTOR_SHORT,
VECTOR_WORD,
///dense matrices
DENSE_INT,
DENSE_REAL,
DENSE_SHORTREAL,
DENSE_SHORT,
DENSE_WORD,
///dense nd arrays
NDARRAY_BYTE,
NDARRAY_CHAR,
NDARRAY_INT,
NDARRAY_REAL,
NDARRAY_SHORTREAL,
NDARRAY_SHORT,
NDARRAY_WORD,
///sparse matrices
SPARSE_BYTE,
SPARSE_CHAR,
SPARSE_INT,
SPARSE_REAL,
SPARSE_SHORT,
SPARSE_SHORTREAL,
SPARSE_WORD,
///strings of arbitrary type
STRING_BYTE,
STRING_CHAR,
STRING_INT,
STRING_SHORT,
STRING_WORD,
/// structures
ATTR_STRUCT
};
/** objective enumerate */
enum E_WHICH_OBJ
{
/// svm primal task
SVM_PRIMAL,
/// svm dual task
SVM_DUAL,
/// mkl primal task
MKL_PRIMAL,
/// mkl dual task
MKL_DUAL,
/// mkl relative duality gap
MKL_RELATIVE_DUALITY_GAP,
/// mkl absolute duality gap
MKL_ABSOLUTE_DUALITY_GAP
};
/** @brief shogun interface */
class CSGInterface : public CSGObject
{
public:
/** constructor
* @param print_copyrights
*/
CSGInterface(bool print_copyrights=true);
/** destructor */
~CSGInterface();
/// reset to clean state
virtual void reset();
/// translate matrix from language A to language B
void translate_arg(CSGInterface* source, CSGInterface* target);
/* commands */
/** load features from file */
bool cmd_load_features();
/** save features to file */
bool cmd_save_features();
/** clear/clean features */
bool cmd_clean_features();
/** get features */
bool cmd_get_features();
/** add features */
bool cmd_add_features();
/** add multiple features */
bool cmd_add_multiple_features();
/** add dot features */
bool cmd_add_dotfeatures();
/** set features */
bool cmd_set_features();
/** set reference features */
bool cmd_set_reference_features();
/** del last features from combined features */
bool cmd_del_last_features();
/** convert features */
bool cmd_convert();
/** reshape features */
bool cmd_reshape();
/** load labels from file */
bool cmd_load_labels();
/** set labels */
bool cmd_set_labels();
/** get labels */
bool cmd_get_labels();
/** set kernel normalization */
bool cmd_set_kernel_normalization();
/** set kernel */
bool cmd_set_kernel();
/** add kernel (to e.g. CombinedKernel) */
bool cmd_add_kernel();
/** delete last kernel from combined kernel */
bool cmd_del_last_kernel();
/** initialize kernel */
bool cmd_init_kernel();
/** clear/clean kernel */
bool cmd_clean_kernel();
/** save kernel to file */
bool cmd_save_kernel();
/** load kernel init from file */
bool cmd_load_kernel_init();
/** save kernel init to file */
bool cmd_save_kernel_init();
/** get kernel matrix */
bool cmd_get_kernel_matrix();
/** set WD position weights */
bool cmd_set_WD_position_weights();
/** get subkernel weights */
bool cmd_get_subkernel_weights();
/** set subkernel weights */
bool cmd_set_subkernel_weights();
/** set subkernel weights combined */
bool cmd_set_subkernel_weights_combined();
/** get dotfeature weights combined */
bool cmd_get_dotfeature_weights_combined();
/** set dotfeature weights combined */
bool cmd_set_dotfeature_weights_combined();
/** set last subkernel weights */
bool cmd_set_last_subkernel_weights();
/** get WD position weights */
bool cmd_get_WD_position_weights();
/** get last subkernel weights */
bool cmd_get_last_subkernel_weights();
/** compute by subkernels */
bool cmd_compute_by_subkernels();
/** initialize kernel optimization */
bool cmd_init_kernel_optimization();
/** get kernel optimization */
bool cmd_get_kernel_optimization();
/** delete kernel optimization */
bool cmd_delete_kernel_optimization();
/** set diagonal speedup */
bool cmd_use_diagonal_speedup();
/** set kernel optimization type */
bool cmd_set_kernel_optimization_type();
/** set solver type */
bool cmd_set_solver();
/** set constraint generator */
bool cmd_set_constraint_generator();
/** set Salzberg prior probs */
bool cmd_set_prior_probs();
/** set Salzberg prior probs from labels */
bool cmd_set_prior_probs_from_labels();
/** set distance */
bool cmd_set_distance();
/** init distance */
bool cmd_init_distance();
/** get distance matrix */
bool cmd_get_distance_matrix();
/** get SPEC consensus */
bool cmd_get_SPEC_consensus();
/** get SPEC scoring */
bool cmd_get_SPEC_scoring();
/** get WD consensus */
bool cmd_get_WD_consensus();
/** compute POIM WD */
bool cmd_compute_POIM_WD();
/** get WD scoring */
bool cmd_get_WD_scoring();
/** create new SVM/classifier */
bool cmd_new_classifier();
/** load SVM/classifier */
bool cmd_load_classifier();
/** save SVM/classifier */
bool cmd_save_classifier();
/** get SVM */
bool cmd_get_svm();
/** get number of SVMs in MultiClass */
bool cmd_get_num_svms();
/** set SVM */
bool cmd_set_svm();
/** set linear classifier */
bool cmd_set_linear_classifier();
/** classify */
bool cmd_classify();
/** classify example */
bool cmd_classify_example();
/** get classifier */
bool cmd_get_classifier();
/** get SVM objective */
bool cmd_get_svm_objective();
/** compute SVM objective from scratch*/
bool cmd_compute_svm_primal_objective();
/** compute SVM objective from scratch*/
bool cmd_compute_svm_dual_objective();
/** compute SVM objective from scratch*/
bool cmd_compute_mkl_dual_objective();
/** compute relative mkl duality gap */
bool cmd_compute_relative_mkl_duality_gap();
/** compute absolute mkl duality gap */
bool cmd_compute_absolute_mkl_duality_gap();
/** train classifier/SVM */
bool cmd_train_classifier();
/** do AUC maximization */
bool cmd_do_auc_maximization();
/** set perceptron parameters */
bool cmd_set_perceptron_parameters();
/** set SVM qpsize */
bool cmd_set_svm_qpsize();
/** set SVM max qpsize */
bool cmd_set_svm_max_qpsize();
/** set SVM bufsize */
bool cmd_set_svm_bufsize();
/** set SVM C */
bool cmd_set_svm_C();
/** set svm epsilon */
bool cmd_set_svm_epsilon();
/** set SVR tube epsilon */
bool cmd_set_svr_tube_epsilon();
/** set SVM OneClass nu */
bool cmd_set_svm_nu();
/** set SVM MKL parameters */
bool cmd_set_svm_mkl_parameters();
/** set ElasticnetMKL parameter lambda */
bool cmd_set_elasticnet_lambda();
/** set block norm parameter for block norm mkl */
bool cmd_set_mkl_block_norm();
/** set max train time */
bool cmd_set_max_train_time();
/** set SVM MKL enabled */
bool cmd_set_svm_mkl_enabled();
/** set SVM shrinking enabled */
bool cmd_set_svm_shrinking_enabled();
/** set SVM batch computation enabled */
bool cmd_set_svm_batch_computation_enabled();
/** set SVM linadd enabled */
bool cmd_set_svm_linadd_enabled();
/** set SVM bias enabled */
bool cmd_set_svm_bias_enabled();
/** set MKL intebias enabled */
bool cmd_set_mkl_interleaved_enabled();
/** set krr tau */
bool cmd_set_krr_tau();
/** add preproc */
bool cmd_add_preproc();
/** delete preproc */
bool cmd_del_preproc();
/** attach preproc to test/train */
bool cmd_attach_preproc();
/** clear/clean preproc */
bool cmd_clean_preproc();
/** create converter */
bool cmd_set_converter();
/** apply converter */
bool cmd_apply_converter();
/** embed features */
bool cmd_embed();
/** create new HMM */
bool cmd_new_hmm();
/** load HMM from file */
bool cmd_load_hmm();
/** save HMM to file */
bool cmd_save_hmm();
/** HMM classify */
bool cmd_hmm_classify();
/** HMM classify for a single example */
bool cmd_hmm_classify_example();
/** LinearHMM classify for 1-class examples */
bool cmd_one_class_linear_hmm_classify();
/** HMM classify for 1-class examples */
bool cmd_one_class_hmm_classify();
/** HMM classify for a single 1-class example */
bool cmd_one_class_hmm_classify_example();
/** output HMM */
bool cmd_output_hmm();
/** output HMM defined */
bool cmd_output_hmm_defined();
/** get HMM likelihood */
bool cmd_hmm_likelihood();
/** likelihood */
bool cmd_likelihood();
/** save HMM likelihoods to file */
bool cmd_save_likelihood();
/** get HMM's Viterbi Path */
bool cmd_get_viterbi_path();
/** train viterbi defined */
bool cmd_viterbi_train_defined();
/** train viterbi */
bool cmd_viterbi_train();
/** train baum welch */
bool cmd_baum_welch_train();
/** train defined baum welch */
bool cmd_baum_welch_train_defined();
/** train baum welch trans */
bool cmd_baum_welch_trans_train();
/** linear train */
bool cmd_linear_train();
/** save path to file */
bool cmd_save_path();
/** append HMM */
bool cmd_append_hmm();
/** append model (like HMM, but for CmdlineInterface */
bool cmd_append_model();
/** set HMM */
bool cmd_set_hmm();
/** set HMM as */
bool cmd_set_hmm_as();
/** get HMM */
bool cmd_get_hmm();
/** set chop value */
bool cmd_set_chop();
/** set pseudo value */
bool cmd_set_pseudo();
/** load definitions from file */
bool cmd_load_definitions();
/** convergence criteria */
bool cmd_convergence_criteria();
/** normalize HMM */
bool cmd_normalize();
/** add HMM states */
bool cmd_add_states();
/** permutation entropy */
bool cmd_permutation_entropy();
/** compute HMM relative entropy */
bool cmd_relative_entropy();
/** compute HMM entropy */
bool cmd_entropy();
/** create new plugin estimator */
bool cmd_new_plugin_estimator();
/** train plugin estimator */
bool cmd_train_estimator();
/** plugin estimate classify one example */
bool cmd_plugin_estimate_classify_example();
/** plugin estimate classify */
bool cmd_plugin_estimate_classify();
/** set plugin estimate */
bool cmd_set_plugin_estimate();
/** get plugin estimate */
bool cmd_get_plugin_estimate();
/** best path */
bool cmd_best_path();
/** best path 2struct */
bool cmd_best_path_2struct();
/**
* -assemble plif struct from a bunch of
* arrays of the same length corresponding
* to the fields of the plif-struct-array
*/
bool cmd_set_plif_struct();
/**
* -get plif struct as a bunch
* of arrays of the same length
* -each array corresponding to one
* field of the struct
*/
bool cmd_get_plif_struct();
/**
* precompute subkernels of a combined kernel
*/
bool cmd_precompute_subkernels();
/** cmd signals model
*
*/
bool cmd_signals_set_model() { return false; };
/** cmd signals set position
*
*/
bool cmd_signals_set_positions();
/** cmd signals set labels
*
*/
bool cmd_signals_set_labels();
/** cmd signals set split
*
*/
bool cmd_signals_set_split();
/** cmd signals set train mask
*
*/
bool cmd_signals_set_train_mask();
/** cmd signals add feature
*
*/
bool cmd_signals_add_feature();
/** cmd signals add kernel
*
*/
bool cmd_signals_add_kernel();
/** cmd signals run
*
*/
bool cmd_signals_run();
/**
* -precompute content svms
* and save the outputs
* in a matrix with dim nof contents times
* nof feature positions
*
* -the SVM score for a specific segment can be
* calculated by subtraction the
* the start and end position entries
* from the row corresponding to the segment
* type
*/
bool cmd_precompute_content_svms();
/**
* -get lin feat
*/
bool cmd_get_lin_feat();
/**
* -set lin feat
*/
bool cmd_set_lin_feat();
/**
* -init dyn prog
*/
bool cmd_init_dyn_prog();
/**
* clean up dyn prog
*/
bool cmd_clean_up_dyn_prog();
/**
* initialize list of introns as DynProg features
*/
bool cmd_init_intron_list();
/** settings for long transition approximation*/
bool cmd_long_transition_settings();
/**
* -precompute tiling features
* and save the outputs (# content types x
* # features positons) in a member variable
* of the DynProg Object
* -the tiling intensities are transformed
* and then stored as cumulative scores
*/
bool cmd_precompute_tiling_features();
/**
* -compute the matrix that links
* the plif ids to the transitions
*
* -the matrix has dimensions nof states
* times nof states times nof feature types
*
* - feature types are for example
* signal features, length features,
* content features and tiling features
*/
bool cmd_set_model();
/**
* set sparse feature matrix and
* all feature positions
*/
bool cmd_set_feature_matrix_sparse();
/**
* set feature matrix and
* all feature positions
*/
bool cmd_set_feature_matrix();
/** best path trans */
bool cmd_best_path_trans();
/** best path trans deriv */
bool cmd_best_path_trans_deriv();
/** best path no b */
bool cmd_best_path_no_b();
/** best path no b trans */
bool cmd_best_path_no_b_trans();
/** calculate CRC sum */
bool cmd_crc();
/** send command to operating system */
bool cmd_system();
/** exit/quit shogun/interface */
bool cmd_exit();
/** execute script from file */
bool cmd_exec();
/** set output target */
bool cmd_set_output();
/** set threshold */
bool cmd_set_threshold();
/** initialize random number generator */
bool cmd_init_random();
/** set number of threads */
bool cmd_set_num_threads();
/** translate string */
bool cmd_translate_string();
/** clear Shogun */
bool cmd_clear();
/** start timer */
bool cmd_tic();
/** stop timer */
bool cmd_toc();
/** echo */
bool cmd_echo();
/** print a message (for e.g. cmdline interface) */
bool cmd_print();
/** set loglevel */
bool cmd_loglevel();
/** set progress */
bool cmd_progress();
/** en/disable syntax hilighting */
bool cmd_syntax_highlight();
/** get version */
bool cmd_get_version();
/** issue help message */
bool cmd_help();
/** list alloc'd memory */
bool cmd_whos();
/** wrapper for compatibility send_command */
bool cmd_send_command();
/** execute code under python from octave,... */
virtual bool cmd_run_python();
/** execute code under octave from python,... */
virtual bool cmd_run_octave();
/** execute code under r from python,... */
virtual bool cmd_run_r();
/** call pr_loqo solver */
virtual bool cmd_pr_loqo();
/** get functions - to pass data from the target interface to shogun */
/// get type of current argument (does not increment argument counter)
virtual IFType get_argument_type()=0;
/** get int */
virtual int32_t get_int()=0;
/** get real */
virtual float64_t get_real()=0;
/** get bool */
virtual bool get_bool()=0;
/** get string
* @param len
*/
virtual char* get_string(int32_t& len)=0;
/** get vector
* @param vector
* @param len
*/
virtual void get_vector(bool*& vector, int32_t& len);
/** get vector
* @param vector
* @param len
*/
virtual void get_vector(uint8_t*& vector, int32_t& len)=0;
/** get vector
* @param vector
* @param len
*/
virtual void get_vector(char*& vector, int32_t& len)=0;
/** get vector
* @param vector
* @param len
*/
virtual void get_vector(int32_t*& vector, int32_t& len)=0;
/** get vector
* @param vector
* @param len
*/
virtual void get_vector(float64_t*& vector, int32_t& len)=0;
/** get vector
* @param vector
* @param len
*/
virtual void get_vector(float32_t*& vector, int32_t& len)=0;
/** get vector
* @param vector
* @param len
*/
virtual void get_vector(int16_t*& vector, int32_t& len)=0;
/** get vector
* @param vector
* @param len
*/
virtual void get_vector(uint16_t*& vector, int32_t& len)=0;
/** get matrix
* @param matrix
* @param num_feat
* @param num_vec
*/
virtual void get_matrix(
uint8_t*& matrix, int32_t& num_feat, int32_t& num_vec)=0;
/** get matrix
* @param matrix
* @param num_feat
* @param num_vec
*/
virtual void get_matrix(
char*& matrix, int32_t& num_feat, int32_t& num_vec)=0;
/** get matrix
* @param matrix
* @param num_feat
* @param num_vec
*/
virtual void get_matrix(
int32_t*& matrix, int32_t& num_feat, int32_t& num_vec)=0;
/** get matrix
* @param matrix
* @param num_feat
* @param num_vec
*/
virtual void get_matrix(
float32_t*& matrix, int32_t& num_feat, int32_t& num_vec)=0;
/** get matrix
* @param matrix
* @param num_feat
* @param num_vec
*/
virtual void get_matrix(
float64_t*& matrix, int32_t& num_feat, int32_t& num_vec)=0;
/** get matrix
* @param matrix
* @param num_feat
* @param num_vec
*/
virtual void get_matrix(
int16_t*& matrix, int32_t& num_feat, int32_t& num_vec)=0;
/** get matrix
* @param matrix
* @param num_feat
* @param num_vec
*/
virtual void get_matrix(
uint16_t*& matrix, int32_t& num_feat, int32_t& num_vec)=0;
/** get nd array
* @param array
* @param dims
* @param num_dims
*/
virtual void get_ndarray(
uint8_t*& array, int32_t*& dims, int32_t& num_dims)=0;
/** get nd array
* @param array
* @param dims
* @param num_dims
*/
virtual void get_ndarray(
char*& array, int32_t*& dims, int32_t& num_dims)=0;
/** get nd array
* @param array
* @param dims
* @param num_dims
*/
virtual void get_ndarray(
int32_t*& array, int32_t*& dims, int32_t& num_dims)=0;
/** get nd array
* @param array
* @param dims
* @param num_dims
*/
virtual void get_ndarray(
float32_t*& array, int32_t*& dims, int32_t& num_dims)=0;
/** get nd array
* @param array
* @param dims
* @param num_dims
*/
virtual void get_ndarray(
float64_t*& array, int32_t*& dims, int32_t& num_dims)=0;
/** get nd array
* @param array
* @param dims
* @param num_dims
*/
virtual void get_ndarray(
int16_t*& array, int32_t*& dims, int32_t& num_dims)=0;
/** get nd array
* @param array
* @param dims
* @param num_dims
*/
virtual void get_ndarray(
uint16_t*& array, int32_t*& dims, int32_t& num_dims)=0;
/** get sparse matrix
* @param matrix
* @param num_feat
* @param num_vec
*/
virtual void get_sparse_matrix(
SGSparseVector<float64_t>*& matrix, int32_t& num_feat, int32_t& num_vec)=0;
/* future versions might support types other than float64_t
virtual void get_sparse_matrix(SGSparseVector<uint8_t>*& matrix, int32_t& num_feat, int32_t& num_vec)=0;
virtual void get_sparse_matrix(SGSparseVector<char>*& matrix, int32_t& num_feat, int32_t& num_vec)=0;
virtual void get_sparse_matrix(SGSparseVector<int32_t>*& matrix, int32_t& num_feat, int32_t& num_vec)=0;
virtual void get_sparse_matrix(SGSparseVector<float32_t>*& matrix, int32_t& num_feat, int32_t& num_vec)=0;
virtual void get_sparse_matrix(SGSparseVector<int16_t>*& matrix, int32_t& num_feat, int32_t& num_vec)=0;
virtual void get_sparse_matrix(SGSparseVector<uint16_t>*& matrix, int32_t& num_feat, int32_t& num_vec)=0; */
/** get string list
* @param strings
* @param num_str
* @param max_string_len
*/
virtual void get_string_list(
SGString<uint8_t>*& strings, int32_t& num_str,
int32_t& max_string_len)=0;
/** get string list
* @param strings
* @param num_str
* @param max_string_len
*/
virtual void get_string_list(
SGString<char>*& strings, int32_t& num_str,
int32_t& max_string_len)=0;
/** get string list
* @param strings
* @param num_str
* @param max_string_len
*/
virtual void get_string_list(
SGString<int32_t>*& strings, int32_t& num_str,
int32_t& max_string_len)=0;
/** get string list
* @param strings
* @param num_str
* @param max_string_len
*/
virtual void get_string_list(
SGString<int16_t>*& strings, int32_t& num_str,
int32_t& max_string_len)=0;
/** get string list
* @param strings
* @param num_str
* @param max_string_len
*/
virtual void get_string_list(
SGString<uint16_t>*& strings, int32_t& num_str,
int32_t& max_string_len)=0;
/** get attribute struct
* @param attrs
*/
virtual void get_attribute_struct(
const CDynamicArray<T_ATTRIBUTE>* &attrs)=0;
// set functions - to pass data from shogun to the target interface
/** create return values
* @param num_val
*/
virtual bool create_return_values(int32_t num_val)=0;
/** set int
* @param scalar
*/
virtual void set_int(int32_t scalar)=0;
/** set real
* @param scalar
*/
virtual void set_real(float64_t scalar)=0;
/** set bool
* @param scalar
*/
virtual void set_bool(bool scalar)=0;
/** set vector
* @param vector
* @param len
*/
virtual void set_vector(const bool* vector, int32_t len);
/** set vector
* @param vector
* @param len
*/
virtual void set_vector(const uint8_t* vector, int32_t len)=0;
/** set vector
* @param vector
* @param len
*/
virtual void set_vector(const char* vector, int32_t len)=0;
/** set vector
* @param vector
* @param len
*/
virtual void set_vector(const int32_t* vector, int32_t len)=0;
/** set vector
* @param vector
* @param len
*/
virtual void set_vector(const float32_t* vector, int32_t len)=0;
/** set vector
* @param vector
* @param len
*/
virtual void set_vector(const float64_t* vector, int32_t len)=0;
/** set vector
* @param vector
* @param len
*/
virtual void set_vector(const int16_t* vector, int32_t len)=0;
/** set vector
* @param vector
* @param len
*/
virtual void set_vector(const uint16_t* vector, int32_t len)=0;
/** set matrix
* @param matrix
* @param num_feat
* @param num_vec
*/
virtual void set_matrix(
const uint8_t* matrix, int32_t num_feat, int32_t num_vec)=0;
/** set matrix
* @param matrix
* @param num_feat
* @param num_vec
*/
virtual void set_matrix(
const char* matrix, int32_t num_feat, int32_t num_vec)=0;
/** set matrix
* @param matrix
* @param num_feat
* @param num_vec
*/
virtual void set_matrix(
const int32_t* matrix, int32_t num_feat, int32_t num_vec)=0;
/** set matrix
* @param matrix
* @param num_feat
* @param num_vec
*/
virtual void set_matrix(
const float32_t* matrix, int32_t num_feat, int32_t num_vec)=0;
/** set matrix
* @param matrix
* @param num_feat
* @param num_vec
*/
virtual void set_matrix(
const float64_t* matrix, int32_t num_feat, int32_t num_vec)=0;
/** set matrix
* @param matrix
* @param num_feat
* @param num_vec
*/
virtual void set_matrix(
const int16_t* matrix, int32_t num_feat, int32_t num_vec)=0;
/** set matrix
* @param matrix
* @param num_feat
* @param num_vec
*/
virtual void set_matrix(
const uint16_t* matrix, int32_t num_feat, int32_t num_vec)=0;
/** set sparse matrix
* @param matrix
* @param num_feat
* @param num_vec
* @param nnz
*/
virtual void set_sparse_matrix(
const SGSparseVector<float64_t>* matrix, int32_t num_feat,
int32_t num_vec, int64_t nnz)=0;
/* future versions might support types other than float64_t
virtual void set_sparse_matrix(const SGSparseVector<uint8_t>* matrix, int32_t num_feat, int32_t num_vec)=0;
virtual void set_sparse_matrix(const SGSparseVector<char>* matrix, int32_t num_feat, int32_t num_vec)=0;
virtual void set_sparse_matrix(const SGSparseVector<int32_t>* matrix, int32_t num_feat, int32_t num_vec)=0;
virtual void set_sparse_matrix(const SGSparseVector<float32_t>* matrix, int32_t num_feat, int32_t num_vec)=0;
virtual void set_sparse_matrix(const SGSparseVector<int16_t>* matrix, int32_t num_feat, int32_t num_vec)=0;
virtual void set_sparse_matrix(const SGSparseVector<uint16_t>* matrix, int32_t num_feat, int32_t num_vec)=0; */
/** set string list
* @param strings
* @param num_str
*/
virtual void set_string_list(
const SGString<uint8_t>* strings, int32_t num_str)=0;
/** set string list
* @param strings
* @param num_str
*/
virtual void set_string_list(
const SGString<char>* strings, int32_t num_str)=0;
/** set string list
* @param strings
* @param num_str
*/
virtual void set_string_list(
const SGString<int32_t>* strings, int32_t num_str)=0;
/** set string list
* @param strings
* @param num_str
*/
virtual void set_string_list(
const SGString<int16_t>* strings, int32_t num_str)=0;
/** set string list
* @param strings
* @param num_str
*/
virtual void set_string_list(
const SGString<uint16_t>* strings, int32_t num_str)=0;
/** set attribute struct
* @param attrs
*/
virtual void set_attribute_struct(
const CDynamicArray<T_ATTRIBUTE>* attrs)=0;
/// general interface handler
bool handle();
/// print the shogun prompt
void print_prompt();
/// return number of lhs args
int32_t get_nlhs() { return m_nlhs; }
/// return number of lhs args
int32_t get_nrhs() { return m_nrhs; }
// ui lib
/** ui classifier */
CGUIClassifier* ui_classifier;
/** ui distance */
CGUIDistance* ui_distance;
/** ui features */
CGUIFeatures* ui_features;
/** ui hmm */
CGUIHMM* ui_hmm;
/** ui kernel */
CGUIKernel* ui_kernel;
/** ui labels */
CGUILabels* ui_labels;
/** ui math */
CGUIMath* ui_math;
/** ui pluginestimate */
CGUIPluginEstimate* ui_pluginestimate;
/** ui preproc */
CGUIPreprocessor* ui_preproc;
/** ui time */
CGUITime* ui_time;
/** ui structure */
CGUIStructure* ui_structure;
/** ui_converter */
CGUIConverter* ui_converter;
protected:
/** return true if str starts with cmd
*
* @param str string to look in, not necessarily 0-terminated
* @param cmd 0-terminated string const
* @param len number of char to compare, length of cmd if not given
*
*/
static bool strmatch(const char* str, const char* cmd, int32_t len=-1)
{
if (len==-1)
{
len=strlen(cmd);
if (strlen(str)!=(size_t) len) // match exact length
return false;
}
return (strncmp(str, cmd, len)==0);
}
/** ends with
* @param str
* @param cmd
*/
static bool strendswith(const char* str, const char* cmd)
{
size_t idx=strlen(str);
size_t len=strlen(cmd);
if (strlen(str) < len)
return false;
str=&str[idx-len];
return (strncmp(str, cmd, len)==0);
}
/// get command name like 'get_svm', 'new_hmm', etc.
char* get_command(int32_t &len)
{
ASSERT(m_rhs_counter==0)
if (m_nrhs<=0)
SG_SERROR("No input arguments supplied.\n")
return get_string(len);
}
private:
/** helper function for computing objective */
bool do_compute_objective(E_WHICH_OBJ obj);
/** helper function for hmm classify */
bool do_hmm_classify(bool linear=false, bool one_class=false);
/** helper function for hmm classify on 1 example */
bool do_hmm_classify_example(bool one_class=false);
/** helper function for add/set features */
bool do_set_features(bool add=false, bool check_dot=false, int32_t repetitions=1);
/** perform bit embedding */
void convert_to_bitembedding(CFeatures* &features, bool convert_to_word, bool convert_to_ulong);
/** obtain from single string */
void obtain_from_single_string(CFeatures* features);
/** obtain from position list */
bool obtain_from_position_list(CFeatures* features);
/** obtain by sliding window */
bool obtain_by_sliding_window(CFeatures* features);
/** helper function to create a kernel */
CKernel* create_kernel();
/** helper function to create certain string features */
CFeatures* create_custom_string_features(CStringFeatures<uint8_t>* f);
CFeatures* create_custom_real_features(CDenseFeatures<float64_t>* orig_feat);
/** legacy-related stuff - anybody got a better idea? */
char* get_str_from_str_or_direct(int32_t& len);
int32_t get_int_from_int_or_str();
float64_t get_real_from_real_or_str();
bool get_bool_from_bool_or_str();
void get_vector_from_int_vector_or_str(
int32_t*& vector, int32_t& len);
void get_vector_from_real_vector_or_str(
float64_t*& vector, int32_t& len);
int32_t get_vector_len_from_str(int32_t expected_len=0);
char* get_str_from_str(int32_t& len);
int32_t get_num_args_in_str();
/// get line from user/stdin/file input
/// @return true at EOF
char* get_line(FILE* infile=stdin, bool show_prompt=true);
protected:
/** lhs counter */
int32_t m_lhs_counter;
/** rhs counter */
int32_t m_rhs_counter;
/** nlhs */
int32_t m_nlhs;
/** nrhs */
int32_t m_nrhs;
// related to cmd_exec and cmd_echo
/** file out */
FILE* file_out;
/** input */
char input[10000];
/** echo */
bool echo;
/** legacy strptr */
char* m_legacy_strptr;
};
/** sg interface ptr typedef */
typedef bool (CSGInterface::*CSGInterfacePtr)();
#ifndef DOXYGEN_SHOULD_SKIP_THIS
/** interface method */
typedef struct {
/// command
const char* command;
/// method
CSGInterfacePtr method;
/// usage prefix
const char* usage_prefix;
/// usage suffix
const char* usage_suffix;
} CSGInterfaceMethod;
}
#endif
#endif // __SGINTERFACE__H_
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