koho.cpp  1.1.0
koho::BestSplitter Member List

This is the complete list of members for koho::BestSplitter, including all inherited members.

BestSplitter(OutputsIdx_t n_outputs, ClassesIdx_t *n_classes, ClassesIdx_t n_classes_max, FeaturesIdx_t n_features, SamplesIdx_t n_samples, ClassWeights_t *class_weight, FeaturesIdx_t max_features, unsigned long max_thresholds, RandomState const &random_state)koho::BestSplitter
criterionkoho::BestSplitter
endkoho::BestSplitterprotected
init_node(Classes_t *y, SamplesIdx_t start, SamplesIdx_t end)koho::BestSplitter
max_featureskoho::BestSplitterprotected
max_thresholdskoho::BestSplitterprotected
n_featureskoho::BestSplitterprotected
n_sampleskoho::BestSplitterprotected
random_statekoho::BestSplitterprotected
sampleskoho::BestSplitterprotected
split_feature(Features_t *X, Classes_t *y, std::vector< SamplesIdx_t > &s, FeaturesIdx_t feature, int &NA, Features_t &threshold, SamplesIdx_t &pos, double &improvement)koho::BestSplitter
split_feature_extreme_random(Features_t *X, Classes_t *y, std::vector< SamplesIdx_t > &s, FeaturesIdx_t feature, int &NA, Features_t &threshold, SamplesIdx_t &pos, double &improvement)koho::BestSplitter
split_node(Features_t *X, Classes_t *y, FeaturesIdx_t &feature, int &NA, Features_t &threshold, SamplesIdx_t &pos, double &improvement)koho::BestSplitter
startkoho::BestSplitterprotected