Index A | B | C | D | F | G | I | L | M | N | P | R | S | T | V | X | Y A add_fdr_scores() (in module njab.stats.ancova) Ancova (class in njab.stats.ancova) ancova() (njab.stats.ancova.Ancova method) (njab.stats.ancova.AncovaAll method) (njab.stats.ancova.AncovaOnlyTarget method) ancova_pg() (in module njab.stats.ancova) AncovaAll (class in njab.stats.ancova) AncovaOnlyTarget (class in njab.stats.ancova) aps (njab.sklearn.types.ResultsSplit attribute) as_array (njab.sklearn.scoring.ConfusionMatrix property) as_classification_series() (njab.sklearn.scoring.ConfusionMatrix method) as_dataframe() (njab.sklearn.scoring.ConfusionMatrix method) auc (njab.sklearn.types.ResultsSplit attribute) AucRocCurve (class in njab.sklearn.types) B binomtest() (in module njab.stats) (in module njab.stats.groups_comparision) C calc_stats() (in module njab.stats.groups_comparision) classification_label() (njab.sklearn.scoring.ConfusionMatrix method) col_isin_df() (in module njab.pandas) combine_value_counts() (in module njab.pandas) compare_km_curves() (in module njab.plotting) (in module njab.plotting.km) ConfusionMatrix (class in njab.sklearn.scoring) cutoffs (njab.sklearn.types.AucRocCurve attribute) (njab.sklearn.types.PrecisionRecallCurve attribute) D diff_analysis() (in module njab.stats) (in module njab.stats.groups_comparision) F filter_all_covars_from_scores() (in module njab.stats.ancova) filter_residuals_from_scores() (in module njab.stats.ancova) find_n_best_features() (in module njab.sklearn) fpr (njab.sklearn.types.AucRocCurve attribute) G get_colums_accessor() (in module njab.pandas) get_custom_pred() (in module njab.sklearn.scoring) get_label_binary_classification() (in module njab.sklearn.scoring) get_lr_multiplicative_decomposition() (in module njab.sklearn.scoring) get_overlapping_columns() (in module njab.pandas) get_pred() (in module njab.sklearn.scoring) get_results_split() (in module njab.sklearn) get_score() (in module njab.sklearn.scoring) get_scores() (njab.stats.ancova.Ancova method) get_target_count_per_bin() (in module njab.sklearn.scoring) I inverse_transform() (njab.sklearn.preprocessing.StandardScaler method) (njab.sklearn.StandardScaler method) L log_rank_test() (in module njab.plotting.km) M means_between_groups() (in module njab.stats.groups_comparision) model (njab.sklearn.types.Results attribute) module njab njab.io njab.pandas njab.plotting njab.plotting.km njab.plotting.lifelines njab.plotting.metrics njab.sklearn njab.sklearn.pca njab.sklearn.preprocessing njab.sklearn.scoring njab.sklearn.types njab.stats njab.stats.ancova njab.stats.groups_comparision N name (njab.sklearn.types.Results attribute) njab module njab.io module njab.pandas module njab.plotting module njab.plotting.km module njab.plotting.lifelines module njab.plotting.metrics module njab.sklearn module njab.sklearn.pca module njab.sklearn.preprocessing module njab.sklearn.scoring module njab.sklearn.types module njab.stats module njab.stats.ancova module njab.stats.groups_comparision module P plot_auc() (in module njab.plotting.metrics) plot_explained_variance() (in module njab.sklearn.pca) plot_lifelines() (in module njab.plotting) (in module njab.plotting.lifelines) plot_prc() (in module njab.plotting.metrics) plot_split_auc() (in module njab.plotting.metrics) plot_split_prc() (in module njab.plotting.metrics) prc (njab.sklearn.types.ResultsSplit attribute) precision (njab.sklearn.types.PrecisionRecallCurve attribute) PrecisionRecallCurve (class in njab.sklearn.types) print_files() (in module njab.io) R recall (njab.sklearn.types.PrecisionRecallCurve attribute) replace_with() (in module njab.pandas) Results (class in njab.sklearn.types) ResultsSplit (class in njab.sklearn.types) roc (njab.sklearn.types.ResultsSplit attribute) run_model() (in module njab.sklearn) run_pca() (in module njab.sklearn) (in module njab.sklearn.pca) S selected_features (njab.sklearn.types.Results attribute) set_fit_request() (njab.sklearn.preprocessing.StandardScaler method) (njab.sklearn.StandardScaler method) set_inverse_transform_request() (njab.sklearn.preprocessing.StandardScaler method) (njab.sklearn.StandardScaler method) set_pandas_number_formatting() (in module njab.pandas) set_pandas_options() (in module njab.pandas) set_partial_fit_request() (njab.sklearn.preprocessing.StandardScaler method) (njab.sklearn.StandardScaler method) set_transform_request() (njab.sklearn.preprocessing.StandardScaler method) (njab.sklearn.StandardScaler method) Splits (class in njab.sklearn.types) StandardScaler (class in njab.sklearn) (class in njab.sklearn.preprocessing) T test (njab.sklearn.types.Results attribute) tpr (njab.sklearn.types.AucRocCurve attribute) train (njab.sklearn.types.Results attribute) transform() (njab.sklearn.preprocessing.StandardScaler method) (njab.sklearn.StandardScaler method) V value_counts_with_margins() (in module njab.pandas) X X_test (njab.sklearn.types.Splits attribute) X_train (njab.sklearn.types.Splits attribute) Y y_test (njab.sklearn.types.Splits attribute) y_train (njab.sklearn.types.Splits attribute)