'Model - wide, i.e. normal linear model (for logistic regression)'

def wide_model(self, inputs, n_inputs):

    network = inputs
    network = tflearn.fully_connected(network, n_inputs, activation='linear', name='wide_linear', bias=False)
    network = tf.reduce_sum(network, 1, name='reduce_sum')
    network = tf.reshape(network, [(-1), 1])
    if self.verbose:
        print(('Wide    model    network    %s' % network))
    return network
