vaep

• vaep package
  • savefig()
  • Subpackages
    • vaep.analyzers package
      • Analysis
      • Submodules
      • vaep.analyzers.analyzers module
      • vaep.analyzers.compare_predictions module
      • vaep.analyzers.diff_analysis module
    • vaep.cmd_interface package
      • Submodules
      • vaep.cmd_interface.setup_imp_cp_website module
    • vaep.databases package
      • Submodules
      • vaep.databases.diseases module
    • vaep.io package
      • PathsList
      • add_indices()
      • dump_json()
      • dump_to_csv()
      • extend_name()
      • from_pickle()
      • get_fname_from_keys()
      • load_json()
      • parse_dict()
      • resolve_path()
      • search_files()
      • search_subfolders()
      • to_pickle()
      • Submodules
      • vaep.io.dataloaders module
      • vaep.io.datasets module
      • vaep.io.datasplits module
      • vaep.io.format module
      • vaep.io.load module
      • vaep.io.types module
    • vaep.models package
      • Metrics
      • RecorderDump
      • calc_net_weight_count()
      • calculte_metrics()
      • collect_metrics()
      • compare_indices()
      • get_df_from_nested_dict()
      • plot_loss()
      • plot_training_losses()
      • split_prediction_by_mask()
      • Submodules
      • vaep.models.ae module
      • vaep.models.analysis module
      • vaep.models.collab module
      • vaep.models.collect_dumps module
      • vaep.models.vae module
    • vaep.pandas package
      • flatten_dict_of_dicts()
      • get_columns_accessor()
      • get_columns_accessor_from_iterable()
      • get_columns_namedtuple()
      • get_counts_per_bin()
      • get_last_index_matching_proportion()
      • get_lower_whiskers()
      • get_unique_non_unique_columns()
      • highlight_min()
      • index_to_dict()
      • interpolate()
      • key_map()
      • length()
      • parse_query_expression()
      • prop_unique_index()
      • replace_with()
      • select_max_by()
      • unique_cols()
      • Submodules
      • vaep.pandas.calc_errors module
      • vaep.pandas.missing_data module
    • vaep.plotting package
      • make_large_descriptors()
      • plot_cutoffs()
      • plot_feat_counts()
      • plot_rolling_error()
      • savefig()
      • select_dates()
      • select_xticks()
      • Submodules
      • vaep.plotting.data module
      • vaep.plotting.defaults module
      • vaep.plotting.errors module
      • vaep.plotting.plotly module
    • vaep.sklearn package
      • get_PCA()
      • Submodules
      • vaep.sklearn.ae_transformer module
      • vaep.sklearn.cf_transformer module
    • vaep.stats package
  • Submodules
  • vaep.data_handling module
    • compute_stats_missing()
    • coverage()
    • get_sorted_not_missing()
  • vaep.imputation module
    • compute_moments_shift()
    • imputation_KNN()
    • imputation_mixed_norm_KNN()
    • imputation_normal_distribution()
    • impute_missing()
    • impute_shifted_normal()
    • stats_by_level()
  • vaep.logging module
    • setup_logger()
    • setup_logger_w_file()
    • setup_nb_logger()
  • vaep.model module
    • build_df_from_pred_batches()
    • get_latent_space()
  • vaep.nb module
    • Config
      • Config.dump()
      • Config.from_dict()
      • Config.items()
      • Config.keys()
      • Config.overwrite_entry()
      • Config.update_from_dict()
      • Config.values()
    • add_default_paths()
    • args_from_dict()
    • get_params()
    • remove_keys_from_globals()
  • vaep.sampling module
    • feature_frequency()
    • frequency_by_index()
    • get_thresholds()
    • sample_data()
    • sample_mnar_mcar()
  • vaep.transform module
    • MinMaxScaler
      • MinMaxScaler.inverse_transform()
      • MinMaxScaler.transform()
    • VaepPipeline
      • VaepPipeline.inverse_transform()
      • VaepPipeline.transform()
    • inverse_transform()
    • make_pandas_compatible()
    • transform()
  • vaep.utils module
    • append_to_filepath()
    • create_random_df()
    • create_random_missing_data()
    • create_random_missing_data_long()