Index

C

col_extractname() (in module dsa.da.util_feature) col_extractname_colbin() (in module dsa.da.util_feature)

col_remove() (in module dsa.da.util_feature) col_stat_getcategorydict_freq() (in module dsa.da.util_feature) convert() (in module dsa.da.util_feature)

D

datestring_todatetime() (in module dsa.da.util_date) datetime_tostring() (in module dsa.da.util_date) datetime_weekday_fast() (in module dsa.da.util_date) draw_plots() (in module dsa.da.util_feature) dsa.da.util (module)

dsa.da.util_date (module) dsa.da.util_feature (module) dsa.da.util_model (module) dsa.da.util_stat (module) dsa.da.util_text (module)

G

get_trend_changes() (in module dsa.da.util_feature) get_trend_correlation() (in module dsa.da.util_feature)

get_trend_stats() (in module dsa.da.util_feature) get_univariate_plots() (in module dsa.da.util_feature)

L

load() (in module dsa.da.util)

load_arguments() (in module dsa.da.util) logger_setup() (in module dsa.da.util)

M

model_catboost_classifier() (in module dsa.da.util_model)

model_template1 (class in dsa.da.util_model)

N

np_conditional_entropy() (in module dsa.da.util_stat) np_correl_cat_cat_cramers_v() (in module dsa.da.util_stat)

np_correl_cat_cat_theils_u() (in module dsa.da.util_stat) np_correl_cat_num_ratio() (in module dsa.da.util_stat) np_transform_pca() (in module dsa.da.util_stat)

P

pd_col_fillna() (in module dsa.da.util_feature) pd_col_fillna_advanced() (in module dsa.da.util_feature) pd_col_fillna_datawig() (in module dsa.da.util_feature) pd_col_filter() (in module dsa.da.util_feature) pd_col_intersection() (in module dsa.da.util_feature) pd_col_merge_onehot() (in module dsa.da.util_feature) pd_col_to_onehot() (in module dsa.da.util_feature) pd_colcat_mapping() (in module dsa.da.util_feature) pd_colcat_mergecol() (in module dsa.da.util_feature) pd_colcat_tonum() (in module dsa.da.util_feature) pd_colnum_normalize() (in module dsa.da.util_feature) pd_colnum_tocat() (in module dsa.da.util_feature) pd_colnum_tocat_stat() (in module dsa.da.util_feature) pd_coltext_countvect() (in module dsa.da.util_text) pd_coltext_encoder() (in module dsa.da.util_text) pd_coltext_hashing() (in module dsa.da.util_text) pd_coltext_minhash() (in module dsa.da.util_text)

pd_coltext_tdidf() (in module dsa.da.util_text) pd_coltext_wordfreq() (in module dsa.da.util_text) pd_datestring_split() (in module dsa.da.util_date) pd_df_sampling() (in module dsa.da.util_feature) pd_df_stack() (in module dsa.da.util_feature) pd_dim_reduction() (in module dsa.da.util_model) pd_fromdict() (in module dsa.da.util_text) pd_num_correl_associations() (in module dsa.da.util_stat) pd_pipeline_apply() (in module dsa.da.util_feature) pd_row_drop_above_thresh() (in module dsa.da.util_feature) pd_stat_colcheck() (in module dsa.da.util_feature) pd_stat_correl_pair() (in module dsa.da.util_feature) pd_stat_distribution() (in module dsa.da.util_feature) pd_stat_distribution_colnum() (in module dsa.da.util_feature) pd_stat_histogram() (in module dsa.da.util_feature) pd_stat_histogram_groupby() (in module dsa.da.util_feature) pd_stat_jupyter_profile() (in module dsa.da.util_feature) pd_stat_na_perow() (in module dsa.da.util_feature)

S

save() (in module dsa.da.util) save_all() (in module dsa.da.util) sk_cluster() (in module dsa.da.util_model) sk_distribution_kernel_bestbandwidth() (in module dsa.da.util_stat) sk_distribution_kernel_sample() (in module dsa.da.util_stat) sk_feature_concept_shift() (in module dsa.da.util_model) sk_feature_covariate_shift() (in module dsa.da.util_model)

sk_feature_impt() (in module dsa.da.util_model) sk_feature_prior_shift() (in module dsa.da.util_model) sk_metric_roc_optimal_cutoff() (in module dsa.da.util_model) sk_model_eval_classification_cv() (in module dsa.da.util_model) sk_params_search_best() (in module dsa.da.util_model) sk_tree_get_ifthen() (in module dsa.da.util) stat_hypothesis_test_permutation() (in module dsa.da.util_stat)

U

univariate_plotter() (in module dsa.da.util_feature)