canopy::classifier< TNumParams > Member List

This is the complete list of members for canopy::classifier< TNumParams >, including all inherited members.

bestSplit(const std::vector< scoreInternalIndexStruct > &data_structs, const TLabelIterator first_label, const int, const int, const float initial_impurity, float &info_gain, float &thresh) const	canopy::classifier< TNumParams >	protected
C_DEFAULT_BAGGING_PROPORTION	canopy::randomForestBase< classifier< TNumParams >, int, discreteDistribution, discreteDistribution, TNumParams >	protectedstatic
C_DEFAULT_MIN_INFO_GAIN	canopy::classifier< TNumParams >	protectedstatic
C_DEFAULT_MIN_TRAINING_DATA	canopy::randomForestBase< classifier< TNumParams >, int, discreteDistribution, discreteDistribution, TNumParams >	protectedstatic
class_names	canopy::classifier< TNumParams >	protected
classifier(const int num_classes, const int num_trees, const int num_levels, const double info_gain_tresh=C_DEFAULT_MIN_INFO_GAIN)	canopy::classifier< TNumParams >
classifier()	canopy::classifier< TNumParams >
cleanupPrecalculations()	canopy::classifier< TNumParams >	protected
fastDiscreteEntropy(const std::vector< int > &internal_index, const int n_labels, const TLabelIterator first_label, const std::vector< double > &xlogx_precalc)	canopy::randomForestBase< classifier< TNumParams >, int, discreteDistribution, discreteDistribution, TNumParams >	protectedstatic
fastDiscreteEntropySplit(const std::vector< scoreInternalIndexStruct > &data_structs, const int n_labels, const TLabelIterator first_label, const std::vector< double > &xlogx_precalc, double &best_split_impurity, float &thresh)	canopy::randomForestBase< classifier< TNumParams >, int, discreteDistribution, discreteDistribution, TNumParams >	protectedstatic
feature_header	canopy::randomForestBase< classifier< TNumParams >, int, discreteDistribution, discreteDistribution, TNumParams >	protected
feature_string	canopy::randomForestBase< classifier< TNumParams >, int, discreteDistribution, discreteDistribution, TNumParams >	protected
findLeafSingle(const TId id, const int treenum, TFeatureFunctor &&feature_functor) const	canopy::randomForestBase< classifier< TNumParams >, int, discreteDistribution, discreteDistribution, TNumParams >	protected
findLeavesGroupwise(TIdIterator first_id, const TIdIterator last_id, const int treenum, std::vector< const discreteDistribution * > &leaves, TFeatureFunctor &&feature_functor) const	canopy::randomForestBase< classifier< TNumParams >, int, discreteDistribution, discreteDistribution, TNumParams >	protected
fit_split_nodes	canopy::randomForestBase< classifier< TNumParams >, int, discreteDistribution, discreteDistribution, TNumParams >	protected
forest	canopy::randomForestBase< classifier< TNumParams >, int, discreteDistribution, discreteDistribution, TNumParams >	protected
getClassNames(std::vector< std::string > &end_class_names) const	canopy::classifier< TNumParams >
getFeatureDefinitionString(std::string &feat_str) const	canopy::randomForestBase< classifier< TNumParams >, int, discreteDistribution, discreteDistribution, TNumParams >
getNumberClasses() const	canopy::classifier< TNumParams >
initialiseNodeDist(const int t, const int n)	canopy::classifier< TNumParams >	protected
isValid() const	canopy::randomForestBase< classifier< TNumParams >, int, discreteDistribution, discreteDistribution, TNumParams >
min_info_gain	canopy::classifier< TNumParams >	protected
minInfoGain(const int, const int) const	canopy::classifier< TNumParams >	protected
n_classes	canopy::classifier< TNumParams >	protected
n_levels	canopy::randomForestBase< classifier< TNumParams >, int, discreteDistribution, discreteDistribution, TNumParams >	protected
n_nodes	canopy::randomForestBase< classifier< TNumParams >, int, discreteDistribution, discreteDistribution, TNumParams >	protected
n_trees	canopy::randomForestBase< classifier< TNumParams >, int, discreteDistribution, discreteDistribution, TNumParams >	protected
preCalculateXlogX(const int N)	canopy::randomForestBase< classifier< TNumParams >, int, discreteDistribution, discreteDistribution, TNumParams >	protectedstatic
predictDistGroupwise(TIdIterator first_id, const TIdIterator last_id, TOutputIterator out_it, TFeatureFunctor &&feature_functor) const	canopy::randomForestBase< classifier< TNumParams >, int, discreteDistribution, discreteDistribution, TNumParams >
predictDistSingle(TIdIterator first_id, const TIdIterator last_id, TOutputIterator out_it, TFeatureFunctor &&feature_functor) const	canopy::randomForestBase< classifier< TNumParams >, int, discreteDistribution, discreteDistribution, TNumParams >
printHeaderData(std::ofstream &stream) const	canopy::classifier< TNumParams >	protected
printHeaderDescription(std::ofstream &stream) const	canopy::classifier< TNumParams >	protected
probabilityGroupwise(TIdIterator first_id, const TIdIterator last_id, TLabelIterator label_it, TOutputIterator out_it, const bool single_label, TFeatureFunctor &&feature_functor) const	canopy::randomForestBase< classifier< TNumParams >, int, discreteDistribution, discreteDistribution, TNumParams >
probabilityGroupwiseBase(TIdIterator first_id, const TIdIterator last_id, TLabelIterator label_it, TOutputIterator out_it, const bool single_label, TBinaryFunction &&binary_function, TFeatureFunctor &&feature_functor, TPDFFunctor &&pdf_functor) const	canopy::randomForestBase< classifier< TNumParams >, int, discreteDistribution, discreteDistribution, TNumParams >
probabilitySingle(TIdIterator first_id, const TIdIterator last_id, TLabelIterator label_it, TOutputIterator out_it, const bool single_label, TFeatureFunctor &&feature_functor) const	canopy::randomForestBase< classifier< TNumParams >, int, discreteDistribution, discreteDistribution, TNumParams >
probabilitySingleBase(TIdIterator first_id, const TIdIterator last_id, TLabelIterator label_it, TOutputIterator out_it, const bool single_label, TBinaryFunction &&binary_function, TFeatureFunctor &&feature_functor, TPDFFunctor &&pdf_functor) const	canopy::randomForestBase< classifier< TNumParams >, int, discreteDistribution, discreteDistribution, TNumParams >
raiseNodeTemperature(const double T)	canopy::classifier< TNumParams >
rand_engine	canopy::randomForestBase< classifier< TNumParams >, int, discreteDistribution, discreteDistribution, TNumParams >	protected
randomForestBase()	canopy::randomForestBase< classifier< TNumParams >, int, discreteDistribution, discreteDistribution, TNumParams >
randomForestBase(const int num_trees, const int num_levels)	canopy::randomForestBase< classifier< TNumParams >, int, discreteDistribution, discreteDistribution, TNumParams >
readFromFile(const std::string filename, const int trees_used=-1, const int max_depth_used=-1)	canopy::randomForestBase< classifier< TNumParams >, int, discreteDistribution, discreteDistribution, TNumParams >
readHeader(std::ifstream &stream)	canopy::classifier< TNumParams >	protected
scoreInternalIndexStruct typedef	canopy::classifier< TNumParams >	protected
setClassNames(const std::vector< std::string > &new_class_names)	canopy::classifier< TNumParams >
setFeatureDefinitionString(const std::string &header_str, const std::string &feat_str)	canopy::randomForestBase< classifier< TNumParams >, int, discreteDistribution, discreteDistribution, TNumParams >
singleNodeImpurity(const TLabelIterator first_label, const std::vector< int > &nodebag, const int, const int) const	canopy::classifier< TNumParams >	protected
train(const TIdIterator first_id, const TIdIterator last_id, const TLabelIterator first_label, TFeatureFunctor &&feature_functor, TParameterFunctor &&parameter_functor, const unsigned num_param_combos_to_test, const bool bagging=true, const float bag_proportion=C_DEFAULT_BAGGING_PROPORTION, const bool fit_split_nodes=true, const unsigned min_training_data=C_DEFAULT_MIN_TRAINING_DATA)	canopy::randomForestBase< classifier< TNumParams >, int, discreteDistribution, discreteDistribution, TNumParams >
trainingPrecalculations(const TLabelIterator first_label, const TLabelIterator last_label, const TIdIterator)	canopy::classifier< TNumParams >	protected
uni_dist	canopy::randomForestBase< classifier< TNumParams >, int, discreteDistribution, discreteDistribution, TNumParams >	protected
valid	canopy::randomForestBase< classifier< TNumParams >, int, discreteDistribution, discreteDistribution, TNumParams >	protected
writeToFile(const std::string filename) const	canopy::randomForestBase< classifier< TNumParams >, int, discreteDistribution, discreteDistribution, TNumParams >
xlogx_precalc	canopy::classifier< TNumParams >	protected