metaperceptron package

• metaperceptron.core package
  • metaperceptron.core.base_mlp_numpy module
    • BaseMhaMlp
      • BaseMhaMlp.CLS_OBJ_LOSSES
      • BaseMhaMlp.SUPPORTED_ACTIVATIONS
      • BaseMhaMlp.SUPPORTED_CLS_METRICS
      • BaseMhaMlp.SUPPORTED_CLS_OBJECTIVES
      • BaseMhaMlp.SUPPORTED_OPTIMIZERS
      • BaseMhaMlp.SUPPORTED_REG_METRICS
      • BaseMhaMlp.SUPPORTED_REG_OBJECTIVES
      • BaseMhaMlp.create_network()
      • BaseMhaMlp.evaluate()
      • BaseMhaMlp.fit()
      • BaseMhaMlp.load_model()
      • BaseMhaMlp.objective_function()
      • BaseMhaMlp.predict()
      • BaseMhaMlp.save_evaluation_metrics()
      • BaseMhaMlp.save_model()
      • BaseMhaMlp.save_training_loss()
      • BaseMhaMlp.save_y_predicted()
      • BaseMhaMlp.score()
      • BaseMhaMlp.scores()
      • BaseMhaMlp.set_fit_request()
      • BaseMhaMlp.set_predict_request()
      • BaseMhaMlp.set_score_request()
    • MlpNumpy
      • MlpNumpy.fit()
      • MlpNumpy.forward()
      • MlpNumpy.get_weights()
      • MlpNumpy.get_weights_size()
      • MlpNumpy.predict()
      • MlpNumpy.set_weights()
      • MlpNumpy.update_weights_from_solution()
  • metaperceptron.core.base_mlp_torch module
    • BaseMlpTorch
      • BaseMlpTorch.CLS_OBJ_LOSSES
      • BaseMlpTorch.SUPPORTED_CLS_METRICS
      • BaseMlpTorch.SUPPORTED_LOSSES
      • BaseMlpTorch.SUPPORTED_OPTIMIZERS
      • BaseMlpTorch.SUPPORTED_REG_METRICS
      • BaseMlpTorch.create_network()
      • BaseMlpTorch.evaluate()
      • BaseMlpTorch.fit()
      • BaseMlpTorch.load_model()
      • BaseMlpTorch.predict()
      • BaseMlpTorch.save_evaluation_metrics()
      • BaseMlpTorch.save_model()
      • BaseMlpTorch.save_training_loss()
      • BaseMlpTorch.save_y_predicted()
      • BaseMlpTorch.score()
      • BaseMlpTorch.scores()
      • BaseMlpTorch.set_predict_request()
      • BaseMlpTorch.set_score_request()
    • MlpTorch
      • MlpTorch.SUPPORTED_ACTIVATIONS
      • MlpTorch.forward()
      • MlpTorch.training
  • metaperceptron.core.mha_mlp module
    • MhaMlpClassifier
      • MhaMlpClassifier.CLS_OBJ_LOSSES
      • MhaMlpClassifier.create_network()
      • MhaMlpClassifier.evaluate()
      • MhaMlpClassifier.objective_function()
      • MhaMlpClassifier.score()
      • MhaMlpClassifier.scores()
      • MhaMlpClassifier.set_fit_request()
      • MhaMlpClassifier.set_predict_request()
      • MhaMlpClassifier.set_score_request()
    • MhaMlpRegressor
      • MhaMlpRegressor.create_network()
      • MhaMlpRegressor.evaluate()
      • MhaMlpRegressor.objective_function()
      • MhaMlpRegressor.score()
      • MhaMlpRegressor.scores()
      • MhaMlpRegressor.set_fit_request()
      • MhaMlpRegressor.set_predict_request()
      • MhaMlpRegressor.set_score_request()
  • metaperceptron.core.traditional_mlp module
    • MlpClassifier
      • MlpClassifier.CLS_OBJ_BINARY_1
      • MlpClassifier.CLS_OBJ_BINARY_2
      • MlpClassifier.CLS_OBJ_LOSSES
      • MlpClassifier.CLS_OBJ_MULTI
      • MlpClassifier.SUPPORTED_LOSSES
      • MlpClassifier.create_network()
      • MlpClassifier.evaluate()
      • MlpClassifier.fit()
      • MlpClassifier.score()
      • MlpClassifier.scores()
      • MlpClassifier.set_predict_request()
      • MlpClassifier.set_score_request()
    • MlpRegressor
      • MlpRegressor.SUPPORTED_LOSSES
      • MlpRegressor.create_network()
      • MlpRegressor.evaluate()
      • MlpRegressor.fit()
      • MlpRegressor.score()
      • MlpRegressor.scores()
      • MlpRegressor.set_predict_request()
      • MlpRegressor.set_score_request()
• metaperceptron.helpers package
  • metaperceptron.helpers.act_util module
    • celu()
    • elu()
    • gelu()
    • hard_shrink()
    • hard_sigmoid()
    • hard_swish()
    • hard_tanh()
    • leaky_relu()
    • log_sigmoid()
    • log_softmax()
    • mish()
    • none()
    • prelu()
    • relu()
    • rrelu()
    • selu()
    • sigmoid()
    • silu()
    • soft_plus()
    • soft_shrink()
    • soft_sign()
    • softmax()
    • softmin()
    • swish()
    • tanh()
    • tanh_shrink()
  • metaperceptron.helpers.metric_util module
    • get_all_classification_metrics()
    • get_all_regression_metrics()
    • 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.check_y()
      • LabelEncoder.fit()
      • LabelEncoder.fit_transform()
      • LabelEncoder.inverse_transform()
      • LabelEncoder.transform()
    • TimeSeriesDifferencer
      • TimeSeriesDifferencer.difference()
      • TimeSeriesDifferencer.inverse_difference()
    • get_dataset()
  • 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()