def predict(self, teX):

        # Use the neural network for predicting the classes.
        p = self.sess.run(self.predict_op, feed_dict={self.X: teX})

        # Reshapes array of columns into vector.
        if len(p.shape) > 1:
            p = np.array([i[0] for i in np.ndarray.tolist(p)])

        return np.array(p)
Check that the behavior is disabled when cache_control is falsy.
dataset/ETHPy150Open calvinschmdt/EasyTensorflow/easy_tensorflow/tf_functions.py/Regresser.predict--crossover with--dataset/ETHPy150Open skibblenybbles/django-daydreamer/daydreamer/tests/views/behaviors/cache/tests.py/CacheControlTestCase.test_disabled