hosa.models.rnn.rnn_models.RNNClassification.prepare

RNNClassification.prepare(x, y)

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 (i.e., class labels).