tf_mlp

class KerasMultiLayerPerceptronVectorRegressionModel(hidden_dims=(5, 5), hidden_activation='sigmoid', output_activation='sigmoid', loss='mse', metrics=('mse',), optimiser='adam', normalisation_mode=NormalisationMode.MAX_BY_COLUMN, **kwargs)

Bases: sensai.tensorflow.tf_base.KerasVectorRegressionModel

__init__(hidden_dims=(5, 5), hidden_activation='sigmoid', output_activation='sigmoid', loss='mse', metrics=('mse',), optimiser='adam', normalisation_mode=NormalisationMode.MAX_BY_COLUMN, **kwargs)

Parameters

• normalisation_mode –

• loss –

• metrics –

• optimiser –

• batch_size –

• epochs –

• validation_fraction –