Feat C++ API
A feature engineering automation tool
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This is the complete list of members for FT::Model::ML, including all inherited members.
C | FT::Model::ML | |
dtypes | FT::Model::ML | private |
fit(const MatrixXf &X, const VectorXf &y, const Parameters ¶ms, bool &pass, const vector< char > &dtypes=vector< char >()) | FT::Model::ML | |
fit_tune(MatrixXf &X, VectorXf &y, const Parameters ¶ms, bool &pass, const vector< char > &dtypes=vector< char >(), bool set_default=false) | FT::Model::ML | |
fit_vector(const MatrixXf &X, const VectorXf &y, const Parameters ¶ms, bool &pass, const vector< char > &dtypes=vector< char >()) | FT::Model::ML | |
get_bias(bool norm_adjust=true) const | FT::Model::ML | |
get_weights(bool norm_adjust=true) const | FT::Model::ML | |
init(bool assign_p_est=true) | FT::Model::ML | |
labels_to_vector(const shared_ptr< CLabels > &labels) | FT::Model::ML | |
max_train_time | FT::Model::ML | |
ML(string ml="LinearRidgeRegression", bool norm=true, bool classification=false, int n_classes=2) | FT::Model::ML | |
ml_hash | FT::Model::ML | |
ml_str | FT::Model::ML | |
ml_type | FT::Model::ML | |
N | FT::Model::ML | |
normalize | FT::Model::ML | |
p_est | FT::Model::ML | |
predict(const MatrixXf &X, bool print=false) | FT::Model::ML | |
predict_proba(const MatrixXf &X) | FT::Model::ML | |
predict_vector(const MatrixXf &X) | FT::Model::ML | |
prob_type | FT::Model::ML | |
retrieve_labels(CDenseFeatures< float64_t > *features, bool proba, bool &pass) | FT::Model::ML | |
set_bias(float b) | FT::Model::ML | |
set_dtypes(const vector< char > &dtypes) | FT::Model::ML | |
~ML() | FT::Model::ML |