Method transform

recommenders/rbm_tf_k.py:226–230

(self, X)

        return tf.nn.softmax(self.forward_logits(X))

    def transform(self, X):
        # accepts and returns a real numpy array
        # unlike forward_hidden and forward_output
        # which deal with tensorflow variables
        return self.session.run(self.p_h_given_v, feed_dict={self.X_in: X})

    def get_visible(self, X):
        return self.session.run(self.output_visible, feed_dict={self.X_in: X})