asid package

Subpackages

• asid.automl_imbalanced package
  • Submodules
  • asid.automl_imbalanced.abb module
    • AutoBalanceBoost
      • AutoBalanceBoost.ensemble_
      • AutoBalanceBoost.param_
      • AutoBalanceBoost.feature_importances()
      • AutoBalanceBoost.fit()
      • AutoBalanceBoost.predict()
      • AutoBalanceBoost.predict_proba()
  • asid.automl_imbalanced.check_tools module
    • check_abb_fitted()
    • check_eval_metric_list()
    • check_ilc_fitted()
    • check_num_type()
    • check_x_y()
  • asid.automl_imbalanced.ilc module
    • ImbalancedLearningClassifier
      • ImbalancedLearningClassifier.classifer_
      • ImbalancedLearningClassifier.classifer_label_
      • ImbalancedLearningClassifier.score_
      • ImbalancedLearningClassifier.scaler_
      • ImbalancedLearningClassifier.encoder_
      • ImbalancedLearningClassifier.classes_
      • ImbalancedLearningClassifier.evaluated_models_scores_
      • ImbalancedLearningClassifier.evaluated_models_time_
      • ImbalancedLearningClassifier.conf_int_
      • ImbalancedLearningClassifier.fit()
      • ImbalancedLearningClassifier.leaderboard()
      • ImbalancedLearningClassifier.predict()
      • ImbalancedLearningClassifier.predict_proba()
  • asid.automl_imbalanced.tools_abb module
    • boosting_of_bagging_procedure()
    • calc_fscore()
    • calc_share()
    • choose_feat()
    • cv_balance_procedure()
    • cv_split_procedure()
    • first_ensemble_procedure()
    • first_ensemble_procedure_with_cv_model()
    • fit_ensemble()
    • get_best_bc()
    • get_bootstrap_balanced_samples()
    • get_feat_imp()
    • get_newds()
    • get_pred()
    • get_pred_proba()
    • num_feat_procedure()
    • other_ensemble_procedure()
  • asid.automl_imbalanced.tools_ilc module
    • abb_exp()
    • balance_exp()
    • calc_leaderboard()
    • calc_metric()
    • calc_pipeline_acc()
    • choose_and_fit_ilc()
    • fit_alg()
    • fit_res_model()
    • get_balance_params()
    • get_cv_type()
    • get_sampl_strat_for_case()
    • scale_data()
  • Module contents
• asid.automl_small package
  • Submodules
  • asid.automl_small.dataset_similarity_metrics module
    • c2st_accuracy()
    • c2st_roc_auc()
    • calc_metrics()
    • ks_permutation()
    • ks_permutation_var()
    • ks_test()
    • zu_overfitting_statistic()
  • asid.automl_small.generative_model_estimation module
    • calc_bayesian_gmm_acc()
    • calc_gmm_acc()
    • calc_kde_acc()
    • calc_sdv_acc()
    • fit_model()
    • get_bayesian_gmm_model()
    • get_copula_model()
    • get_copulagan_model()
    • get_ctgan_model()
    • get_gmm_model()
    • get_tvae_model()
    • sklearn_kde()
    • stats_kde()
  • asid.automl_small.generative_model_sampling module
    • get_sampled_data()
    • gmm_sample_procedure()
    • sample_sdv_procedure()
    • sample_stats()
    • simple_sample_sklearn_procedure()
    • simple_sample_stats_procedure()
  • asid.automl_small.gm module
    • GenerativeModel
      • GenerativeModel.gen_model_
      • GenerativeModel.gen_model_label_
      • GenerativeModel.score_
      • GenerativeModel.scaler_
      • GenerativeModel.info_
      • GenerativeModel.fit()
      • GenerativeModel.sample()
      • GenerativeModel.score()
  • asid.automl_small.tools module
    • check_gen_model_list()
    • check_gm_fitted()
    • check_num_type()
    • check_sim_metric_list()
    • check_x_y()
    • choose_and_fit_model()
  • Module contents

Module contents