SHOGUN
v1.1.0
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Class Perceptron implements the standard linear (online) perceptron.
Given a maximum number of iterations (the standard perceptron algorithm is not guaranteed to converge) and a fixed lerning rate, the result is a linear classifier.
Definition at line 30 of file Perceptron.h.
Public Member Functions | |
CPerceptron () | |
CPerceptron (CDotFeatures *traindat, CLabels *trainlab) | |
virtual | ~CPerceptron () |
virtual EClassifierType | get_classifier_type () |
void | set_learn_rate (float64_t r) |
set learn rate of gradient descent training algorithm | |
void | set_max_iter (int32_t i) |
set maximum number of iterations | |
virtual const char * | get_name () const |
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CLinearMachine () | |
virtual | ~CLinearMachine () |
void | get_w (float64_t *&dst_w, int32_t &dst_dims) |
SGVector< float64_t > | get_w () |
void | set_w (SGVector< float64_t > src_w) |
void | set_bias (float64_t b) |
float64_t | get_bias () |
virtual bool | load (FILE *srcfile) |
virtual bool | save (FILE *dstfile) |
virtual void | set_features (CDotFeatures *feat) |
virtual CLabels * | apply () |
virtual CLabels * | apply (CFeatures *data) |
virtual float64_t | apply (int32_t vec_idx) |
get output for example "vec_idx" | |
virtual CDotFeatures * | get_features () |
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CMachine () | |
virtual | ~CMachine () |
virtual bool | train (CFeatures *data=NULL) |
virtual void | set_labels (CLabels *lab) |
virtual CLabels * | get_labels () |
virtual float64_t | get_label (int32_t i) |
void | set_max_train_time (float64_t t) |
float64_t | get_max_train_time () |
void | set_solver_type (ESolverType st) |
ESolverType | get_solver_type () |
virtual void | set_store_model_features (bool store_model) |
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CSGObject () | |
CSGObject (const CSGObject &orig) | |
virtual | ~CSGObject () |
virtual bool | is_generic (EPrimitiveType *generic) const |
template<class T > | |
void | set_generic () |
void | unset_generic () |
virtual void | print_serializable (const char *prefix="") |
virtual bool | save_serializable (CSerializableFile *file, const char *prefix="") |
virtual bool | load_serializable (CSerializableFile *file, const char *prefix="") |
void | set_global_io (SGIO *io) |
SGIO * | get_global_io () |
void | set_global_parallel (Parallel *parallel) |
Parallel * | get_global_parallel () |
void | set_global_version (Version *version) |
Version * | get_global_version () |
SGVector< char * > | get_modelsel_names () |
char * | get_modsel_param_descr (const char *param_name) |
index_t | get_modsel_param_index (const char *param_name) |
Protected Member Functions | |
virtual bool | train_machine (CFeatures *data=NULL) |
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virtual void | store_model_features () |
Protected Attributes | |
float64_t | learn_rate |
int32_t | max_iter |
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int32_t | w_dim |
float64_t * | w |
float64_t | bias |
CDotFeatures * | features |
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float64_t | max_train_time |
CLabels * | labels |
ESolverType | solver_type |
bool | m_store_model_features |
Additional Inherited Members | |
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SGIO * | io |
Parallel * | parallel |
Version * | version |
Parameter * | m_parameters |
Parameter * | m_model_selection_parameters |
CPerceptron | ( | ) |
default constructor
Definition at line 17 of file Perceptron.cpp.
CPerceptron | ( | CDotFeatures * | traindat, |
CLabels * | trainlab | ||
) |
constructor
traindat | training features |
trainlab | labels for training features |
Definition at line 22 of file Perceptron.cpp.
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virtual |
Definition at line 29 of file Perceptron.cpp.
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virtual |
get classifier type
Reimplemented from CMachine.
Definition at line 48 of file Perceptron.h.
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virtual |
void set_learn_rate | ( | float64_t | r | ) |
set learn rate of gradient descent training algorithm
Definition at line 51 of file Perceptron.h.
void set_max_iter | ( | int32_t | i | ) |
set maximum number of iterations
Definition at line 57 of file Perceptron.h.
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protectedvirtual |
train classifier
data | training data (parameter can be avoided if distance or kernel-based classifiers are used and distance/kernels are initialized with train data) |
Reimplemented from CMachine.
Definition at line 33 of file Perceptron.cpp.
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protected |
learning rate
Definition at line 78 of file Perceptron.h.
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protected |
maximum number of iterations
Definition at line 80 of file Perceptron.h.