hosa.models.rnn.rnn_models.BaseRNN.prepare

BaseRNN.prepare(x, y)[source]

Prepares the model by adding the layers to the estimator: input layer, n_subs_layers subsequent layers, a dropout layer, a dense layer, and an output layer.

Parameters

x (numpy.ndarray) – Input data.
y (numpy.ndarray) – Target values (class labels in classification, real numbers in regression).