iaml.actionables.features_preprocessing

Usually last step before predictor, try features decomposition or aggregation. Example : PCA

Submodules

• iaml.actionables.features_preprocessing.act_cyclical_date_encoding
• iaml.actionables.features_preprocessing.act_fast_ica
• iaml.actionables.features_preprocessing.act_feature_agglomeration
• iaml.actionables.features_preprocessing.act_k_bins_discretizer
• iaml.actionables.features_preprocessing.act_k_means_features
• iaml.actionables.features_preprocessing.act_kernel_pca
• iaml.actionables.features_preprocessing.act_log_transformer
• iaml.actionables.features_preprocessing.act_nystroem
• iaml.actionables.features_preprocessing.act_pca
• iaml.actionables.features_preprocessing.act_polynomial_features
• iaml.actionables.features_preprocessing.act_power_transformer
• iaml.actionables.features_preprocessing.act_quantile_transformer
• iaml.actionables.features_preprocessing.act_rbf_sampler
• iaml.actionables.features_preprocessing.act_select_percentile
• iaml.actionables.features_preprocessing.act_sparse_random_projection
• iaml.actionables.features_preprocessing.act_truncated_svd