Dataset
Dataset.subset()
Dataset.summary()
Dataset.visualize()
generate_dummy_dataset()
BasicModel
BasicModel.fit()
BasicModel.model_fit()
BasicModel.model_predict_proba()
BasicModel.predict()
BasicModel.predict_proba()
BasicModel.preprocessing()
BasicModel.print_classification()
BasicModel.print_scores()
BasicModel.recommend_k_pairs()
LogisticRegression
LogisticRegression.model_fit()
LogisticRegression.model_predict_proba()
LogisticRegression.preprocessing()
NMF
NMF.model_fit()
NMF.model_predict_proba()
NMF.preprocessing()
CustomScaler
CustomScaler.fit_transform()
Perlman_procedure()
cartesian_product_transpose()
meanimputation_standardize()
preprocessing_XY()
same_feature_preprocessing()
cv_training()
grid_search()
indices_to_folds()
random_cv_split()
random_simple_split()
weakly_correlated_split()
AP()
AUC()
DCGk()
ERR()
F1K()
Fscore()
HRk()
MAP()
MRR()
MeanRank()
NDCGk()
PrecisionK()
RP()
RecallK()
Rscore()
TAU()
compute_metrics()
plot_metrics()
compute_sparsity()
load_dataset()
matrix2ratings()
merge_ratings()
print_dataset()
ratings2matrix()