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src/shogun/classifier/FeatureBlockLogisticRegression.cpp
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| /* | ||
| * This program is free software; you can redistribute it and/or modify | ||
| * it under the terms of the GNU General Public License as published by | ||
| * the Free Software Foundation; either version 3 of the License, or | ||
| * (at your option) any later version. | ||
| * | ||
| * Copyright (C) 2012 Sergey Lisitsyn | ||
| */ | ||
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| #include <shogun/classifier/FeatureBlockLogisticRegression.h> | ||
| #include <shogun/lib/slep/slep_logistic.h> | ||
| #include <shogun/lib/slep/slep_options.h> | ||
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| #include <shogun/lib/IndexBlockGroup.h> | ||
| #include <shogun/lib/IndexBlockTree.h> | ||
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| namespace shogun | ||
| { | ||
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| CFeatureBlockLogisticRegression::CFeatureBlockLogisticRegression() : | ||
| CSLEPMachine(), | ||
| m_feature_relation(NULL) | ||
| { | ||
| register_parameters(); | ||
| } | ||
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| CFeatureBlockLogisticRegression::CFeatureBlockLogisticRegression( | ||
| float64_t z, CDotFeatures* train_features, | ||
| CBinaryLabels* train_labels, CIndexBlockRelation* feature_relation) : | ||
| CSLEPMachine(z,train_features,(CLabels*)train_labels), | ||
| m_feature_relation(NULL) | ||
| { | ||
| set_feature_relation(feature_relation); | ||
| register_parameters(); | ||
| } | ||
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| CFeatureBlockLogisticRegression::~CFeatureBlockLogisticRegression() | ||
| { | ||
| SG_UNREF(m_feature_relation); | ||
| } | ||
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| void CFeatureBlockLogisticRegression::register_parameters() | ||
| { | ||
| SG_ADD((CSGObject**)&m_feature_relation, "feature_relation", "feature relation", MS_NOT_AVAILABLE); | ||
| } | ||
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| CIndexBlockRelation* CFeatureBlockLogisticRegression::get_feature_relation() const | ||
| { | ||
| SG_REF(m_feature_relation); | ||
| return m_feature_relation; | ||
| } | ||
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| void CFeatureBlockLogisticRegression::set_feature_relation(CIndexBlockRelation* feature_relation) | ||
| { | ||
| SG_UNREF(m_feature_relation); | ||
| SG_REF(feature_relation); | ||
| m_feature_relation = feature_relation; | ||
| } | ||
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| bool CFeatureBlockLogisticRegression::train_machine(CFeatures* data) | ||
| { | ||
| if (data && (CDotFeatures*)data) | ||
| set_features((CDotFeatures*)data); | ||
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| ASSERT(features); | ||
| ASSERT(m_labels); | ||
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| SGVector<float64_t> y = ((CBinaryLabels*)m_labels)->get_labels(); | ||
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| slep_options options = slep_options::default_options(); | ||
| options.q = m_q; | ||
| options.regularization = m_regularization; | ||
| options.termination = m_termination; | ||
| options.tolerance = m_tolerance; | ||
| options.max_iter = m_max_iter; | ||
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| EIndexBlockRelationType relation_type = m_feature_relation->get_relation_type(); | ||
| switch (relation_type) | ||
| { | ||
| case GROUP: | ||
| { | ||
| CIndexBlockGroup* feature_group = (CIndexBlockGroup*)m_feature_relation; | ||
| SGVector<index_t> ind = feature_group->get_SLEP_ind(); | ||
| options.ind = ind.vector; | ||
| options.n_feature_blocks = ind.vlen-1; | ||
| if (ind[ind.vlen-1] > features->get_num_vectors()) | ||
| SG_ERROR("Group of features covers more vectors than available\n"); | ||
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| options.mode = FEATURE_GROUP; | ||
| slep_result_t result = slep_logistic(features, y.vector, m_z, options); | ||
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| int32_t n_feats = features->get_dim_feature_space(); | ||
| SGVector<float64_t> new_w(n_feats); | ||
| for (int i=0; i<n_feats; i++) | ||
| new_w[i] = result.w[i]; | ||
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| set_bias(result.c[0]); | ||
| } | ||
| break; | ||
| case TREE: | ||
| { | ||
| CIndexBlockTree* feature_tree = (CIndexBlockTree*)m_feature_relation; | ||
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| CIndexBlock* root_block = feature_tree->get_root_block(); | ||
| if (root_block->get_max_index() > features->get_num_vectors()) | ||
| SG_ERROR("Root block covers more vectors than available\n"); | ||
| SG_UNREF(root_block); | ||
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| SGVector<index_t> ind = feature_tree->get_SLEP_ind(); | ||
| SGVector<float64_t> ind_t = feature_tree->get_SLEP_ind_t(); | ||
| options.ind = ind.vector; | ||
| options.ind_t = ind_t.vector; | ||
| options.n_feature_blocks = ind.vlen-1; | ||
| options.n_nodes = ind_t.vlen / 3; | ||
| options.mode = FEATURE_TREE; | ||
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| slep_result_t result = slep_logistic(features, y.vector, m_z, options); | ||
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| int32_t n_feats = features->get_dim_feature_space(); | ||
| SGVector<float64_t> new_w(n_feats); | ||
| for (int i=0; i<n_feats; i++) | ||
| new_w[i] = result.w[i]; | ||
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| set_bias(result.c[0]); | ||
| } | ||
| break; | ||
| default: | ||
| SG_ERROR("Not supported feature relation type\n"); | ||
| } | ||
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| return true; | ||
| } | ||
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| } |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,76 @@ | ||
| /* | ||
| * This program is free software; you can redistribute it and/or modify | ||
| * it under the terms of the GNU General Public License as published by | ||
| * the Free Software Foundation; either version 3 of the License, or | ||
| * (at your option) any later version. | ||
| * | ||
| * Copyright (C) 2012 Sergey Lisitsyn | ||
| */ | ||
|
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| #ifndef FEATUREBLOCKLOGISTICREGRESSION_H_ | ||
| #define FEATUREBLOCKLOGISTICREGRESSION_H_ | ||
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| #include <shogun/lib/config.h> | ||
| #include <shogun/lib/IndexBlockRelation.h> | ||
| #include <shogun/machine/SLEPMachine.h> | ||
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| namespace shogun | ||
| { | ||
| /** @brief */ | ||
| class CFeatureBlockLogisticRegression : public CSLEPMachine | ||
| { | ||
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| public: | ||
| MACHINE_PROBLEM_TYPE(PT_BINARY) | ||
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| /** default constructor */ | ||
| CFeatureBlockLogisticRegression(); | ||
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| /** constructor | ||
| * | ||
| * @param z regularization coefficient | ||
| * @param training_data training features | ||
| * @param training_labels training labels | ||
| * @param task_relation task relation | ||
| */ | ||
| CFeatureBlockLogisticRegression( | ||
| float64_t z, CDotFeatures* training_data, | ||
| CBinaryLabels* training_labels, CIndexBlockRelation* task_relation); | ||
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| /** destructor */ | ||
| virtual ~CFeatureBlockLogisticRegression(); | ||
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| /** get name */ | ||
| virtual const char* get_name() const | ||
| { | ||
| return "FeatureBlockLogisticRegression"; | ||
| } | ||
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| /** getter for feature tree | ||
| * @return feature tree | ||
| */ | ||
| CIndexBlockRelation* get_feature_relation() const; | ||
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| /** setter for feature tree | ||
| * @param feature_tree feature tree | ||
| */ | ||
| void set_feature_relation(CIndexBlockRelation* feature_relation); | ||
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| protected: | ||
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| /** train machine */ | ||
| virtual bool train_machine(CFeatures* data=NULL); | ||
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| private: | ||
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| /** register parameters */ | ||
| void register_parameters(); | ||
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| protected: | ||
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| /** feature tree */ | ||
| CIndexBlockRelation* m_feature_relation; | ||
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| }; | ||
| } | ||
| #endif |