multiml.task.keras.keras_mlp module

class multiml.task.keras.keras_mlp.MLPTask(input_shapes=None, layers=None, activation=None, activation_last=None, kernel_regularizer=None, bias_regularizer=None, batch_norm=False, **kwargs)

Bases: KerasBaseTask

Keras MLP task.

__init__(input_shapes=None, layers=None, activation=None, activation_last=None, kernel_regularizer=None, bias_regularizer=None, batch_norm=False, **kwargs)
Parameters:

  • input_shapes (tuple) – shape for Keras.Inputs

  • layers (list) – list of hidden layers

  • activation (str) – activation function for MLP

  • activation_last (str) – activation function in last layer

  • kernel_regularizer (str) – kernel regularizer

  • bias_regularizer (str) – bias regularizer

  • batch_norm (bool) – use batch normalization

  • **kwargs – Arbitrary keyword arguments

set_hps(hps)

Set thresholds. Cut-names are given by get_hyperparameters methods.

Parameters:

hps (dict) – (hyperparameter name => hyperparameter value)

build_model()

Build a Keras MLP model.

get_inputs()

Returns keras Input from input_var_names.