MetaPerceptron Package

• metaperceptron.core package
  • metaperceptron.core.base_mlp module
    • BaseMhaMlp
      • BaseMhaMlp.SUPPORTED_OPTIMIZERS
      • BaseMhaMlp.SUPPORTED_CLS_OBJECTIVES
      • BaseMhaMlp.SUPPORTED_REG_OBJECTIVES
      • BaseMhaMlp.SUPPORTED_CLS_METRICS
      • BaseMhaMlp.SUPPORTED_REG_METRICS
      • BaseMhaMlp.SUPPORTED_CLS_OBJECTIVES
      • BaseMhaMlp.SUPPORTED_OPTIMIZERS
      • BaseMhaMlp.SUPPORTED_REG_OBJECTIVES
      • BaseMhaMlp.build_model()
      • BaseMhaMlp.get_name()
      • BaseMhaMlp.objective_function()
      • BaseMhaMlp.set_optim_and_paras()
    • BaseMlp
      • BaseMlp.SUPPORTED_CLS_METRICS
      • BaseMlp.SUPPORTED_REG_METRICS
      • BaseMlp.SUPPORTED_CLS_METRICS
      • BaseMlp.SUPPORTED_REG_METRICS
      • BaseMlp.evaluate()
      • BaseMlp.fit()
      • BaseMlp.load_model()
      • BaseMlp.predict()
      • BaseMlp.save_evaluation_metrics()
      • BaseMlp.save_model()
      • BaseMlp.save_training_loss()
      • BaseMlp.save_y_predicted()
      • BaseMlp.score()
      • BaseMlp.set_seed()
    • BaseStandardMlp
      • BaseStandardMlp.SUPPORTED_OPTIMIZERS
      • BaseStandardMlp.SUPPORTED_OPTIMIZERS
      • BaseStandardMlp.build_model()
    • CustomMLP
      • CustomMLP.SUPPORTED_ACTIVATIONS
      • CustomMLP.forward()
      • CustomMLP.get_weights()
      • CustomMLP.get_weights_size()
      • CustomMLP.set_weights()
      • CustomMLP.training
    • EarlyStopper
      • EarlyStopper.early_stop()
  • metaperceptron.core.gradient_mlp module
    • MlpClassifier
      • MlpClassifier.evaluate()
      • MlpClassifier.fit()
      • MlpClassifier.predict()
      • MlpClassifier.predict_proba()
      • MlpClassifier.score()
    • MlpRegressor
      • MlpRegressor.evaluate()
      • MlpRegressor.fit()
      • MlpRegressor.predict()
      • MlpRegressor.score()
  • metaperceptron.core.metaheuristic_mlp module
    • MhaMlpClassifier
      • MhaMlpClassifier.classes_
      • MhaMlpClassifier.metric_class
      • MhaMlpClassifier.evaluate()
      • MhaMlpClassifier.fit()
      • MhaMlpClassifier.predict()
      • MhaMlpClassifier.predict_proba()
      • MhaMlpClassifier.score()
      • MhaMlpClassifier.set_fit_request()
    • MhaMlpRegressor
      • MhaMlpRegressor.metric_class
      • MhaMlpRegressor.evaluate()
      • MhaMlpRegressor.fit()
      • MhaMlpRegressor.predict()
      • MhaMlpRegressor.score()
      • MhaMlpRegressor.set_fit_request()
  • metaperceptron.core.comparator module
    • MhaMlpComparator
      • MhaMlpComparator.compare_cross_val_score()
      • MhaMlpComparator.compare_cross_validate()
      • MhaMlpComparator.compare_train_test()
  • metaperceptron.core.tuner module
    • MhaMlpTuner
      • MhaMlpTuner.model_class
      • MhaMlpTuner.param_grid
      • MhaMlpTuner.search_method
      • MhaMlpTuner.kwargs
      • MhaMlpTuner.searcher
      • MhaMlpTuner.best_estimator_
      • MhaMlpTuner.best_params_
      • MhaMlpTuner.fit()
      • MhaMlpTuner.predict()
      • MhaMlpTuner.fit()
      • MhaMlpTuner.predict()
• metaperceptron.helpers package
  • metaperceptron.helpers.metric_util module
    • get_all_classification_metrics()
    • get_all_regression_metrics()
    • get_metric_sklearn()
    • get_metrics()
  • metaperceptron.helpers.preprocessor module
    • Data
      • Data.SUPPORT
      • Data.check_y()
      • Data.encode_label()
      • Data.scale()
      • Data.set_train_test()
      • Data.split_train_test()
    • FeatureEngineering
      • FeatureEngineering.create_threshold_binary_features()
    • LabelEncoder
      • LabelEncoder.fit()
      • LabelEncoder.fit_transform()
      • LabelEncoder.inverse_transform()
      • LabelEncoder.transform()
    • OneHotEncoder
      • OneHotEncoder.fit()
      • OneHotEncoder.fit_transform()
      • OneHotEncoder.inverse_transform()
      • OneHotEncoder.transform()
    • TimeSeriesDifferencer
      • TimeSeriesDifferencer.difference()
      • TimeSeriesDifferencer.inverse_difference()
  • metaperceptron.helpers.scaler_util module
    • BoxCoxScaler
      • BoxCoxScaler.fit()
      • BoxCoxScaler.inverse_transform()
      • BoxCoxScaler.transform()
    • DataTransformer
      • DataTransformer.SUPPORTED_SCALERS
      • DataTransformer.fit()
      • DataTransformer.inverse_transform()
      • DataTransformer.transform()
    • Log1pScaler
      • Log1pScaler.fit()
      • Log1pScaler.inverse_transform()
      • Log1pScaler.transform()
    • LogeScaler
      • LogeScaler.fit()
      • LogeScaler.inverse_transform()
      • LogeScaler.transform()
    • ObjectiveScaler
      • ObjectiveScaler.inverse_transform()
      • ObjectiveScaler.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()
  • metaperceptron.helpers.validator module
    • check_bool()
    • check_float()
    • check_int()
    • check_str()
    • check_tuple_float()
    • check_tuple_int()
    • is_in_bound()
    • is_str_in_list()