metasklearn package

• metasklearn.core package
  • metasklearn.core.problem module
    • HyperparameterProblem
      • HyperparameterProblem.estimator
      • HyperparameterProblem.X
      • HyperparameterProblem.y
      • HyperparameterProblem.metric_class
      • HyperparameterProblem.obj_name
      • HyperparameterProblem.cv
      • HyperparameterProblem.n_jobs
      • HyperparameterProblem.shuffle
      • HyperparameterProblem.kf
      • HyperparameterProblem.get_obj_score_
      • HyperparameterProblem.obj_func()
  • metasklearn.core.search module
    • MetaSearchCV
      • MetaSearchCV.best_params
      • MetaSearchCV.best_estimator
      • MetaSearchCV.best_score
      • MetaSearchCV.loss_train
      • MetaSearchCV.problem
      • MetaSearchCV.SUPPORTED_CLS_METRICS
      • MetaSearchCV.SUPPORTED_REG_METRICS
      • MetaSearchCV.evaluate()
      • MetaSearchCV.fit()
      • MetaSearchCV.load_model()
      • MetaSearchCV.predict()
      • MetaSearchCV.save_convergence()
      • MetaSearchCV.save_model()
      • MetaSearchCV.save_performance_metrics()
      • MetaSearchCV.save_y_predicted()
      • MetaSearchCV.score()
      • MetaSearchCV.scores()
• metasklearn.utils package
  • metasklearn.utils.data_handler module
    • Data
      • Data.SUPPORT
      • Data.encode_label()
      • Data.scale()
      • Data.set_train_test()
      • Data.split_train_test()
    • DataTransformer
      • DataTransformer.SUPPORTED_SCALERS
      • DataTransformer.SUPPORTED_SCALERS
      • DataTransformer.fit()
      • DataTransformer.inverse_transform()
      • DataTransformer.transform()
    • FeatureEngineering
      • FeatureEngineering.create_threshold_binary_features()
    • TimeSeriesDifferencer
      • TimeSeriesDifferencer.difference()
      • TimeSeriesDifferencer.inverse_difference()
  • metasklearn.utils.evaluation module
    • get_all_classification_metrics()
    • get_all_regression_metrics()
    • get_metric_sklearn()
    • get_metrics()
  • metasklearn.utils.scaler module
    • BoxCoxScaler
      • BoxCoxScaler.fit()
      • BoxCoxScaler.inverse_transform()
      • BoxCoxScaler.transform()
    • LabelEncoder
      • LabelEncoder.fit()
      • LabelEncoder.fit_transform()
      • LabelEncoder.inverse_transform()
      • LabelEncoder.transform()
    • Log1pScaler
      • Log1pScaler.fit()
      • Log1pScaler.inverse_transform()
      • Log1pScaler.transform()
    • LogeScaler
      • LogeScaler.fit()
      • LogeScaler.inverse_transform()
      • LogeScaler.transform()
    • ObjectiveScaler
      • ObjectiveScaler.inverse_transform()
      • ObjectiveScaler.transform()
    • OneHotEncoder
      • OneHotEncoder.categories_
      • OneHotEncoder.fit()
      • OneHotEncoder.fit_transform()
      • OneHotEncoder.inverse_transform()
      • OneHotEncoder.transform()
    • SinhArcSinhScaler
      • SinhArcSinhScaler.fit()
      • SinhArcSinhScaler.inverse_transform()
      • SinhArcSinhScaler.transform()
    • SqrtScaler
      • SqrtScaler.fit()
      • SqrtScaler.inverse_transform()
      • SqrtScaler.transform()
    • YeoJohnsonScaler
      • YeoJohnsonScaler.fit()
      • YeoJohnsonScaler.inverse_transform()
      • YeoJohnsonScaler.transform()
  • metasklearn.utils.validation module
    • check_bool()
    • check_float()
    • check_int()
    • check_str()
    • check_tuple_float()
    • check_tuple_int()
    • is_in_bound()
    • is_str_in_list()