def predict(self, x, batch_size=32, verbose=1, **kwargs):
        """Predict the output for a given testing data.

        # Arguments
            x: Any allowed types according to the input node. Testing data.
            batch_size: Number of samples per batch.
                If unspecified, batch_size will default to 32.
            verbose: Verbosity mode. 0 = silent, 1 = progress bar.
                Controls the verbosity of
                [keras.Model.predict](https://tensorflow.org/api_docs/python/tf/keras/Model#predict)
            **kwargs: Any arguments supported by keras.Model.predict.

        # Returns
            A list of numpy.ndarray objects or a single numpy.ndarray.
            The predicted results.
        """
        if isinstance(x, tf.data.Dataset) and self._has_y(x):
            x = x.map(lambda x, y: x)
        self._check_data_format((x, None), predict=True)
        dataset = self._adapt(x, self.inputs, batch_size)
        pipeline = self.tuner.get_best_pipeline()
        model = self.tuner.get_best_model()
        dataset = pipeline.transform_x(dataset)
        dataset = tf.data.Dataset.zip((dataset, dataset))
        y = model.predict(dataset, **kwargs)
        y = utils.predict_with_adaptive_batch_size(
            model=model,
            batch_size=batch_size,
            x=dataset,
            verbose=verbose,
            **kwargs
        )
        return pipeline.postprocess(y)
Predict the output for a given testing data.

        # Arguments
            x: Any allowed types according to the input node. Testing data.
            batch_size: Number of samples per batch.
                If unspecified, batch_size will default to 32.
            verbose: Verbosity mode. 0 = silent, 1 = progress bar.
                Controls the verbosity of
                [keras.Model.predict](https://tensorflow.org/api_docs/python/tf/keras/Model#predict)
            **kwargs: Any arguments supported by keras.Model.predict.

        # Returns
            A list of numpy.ndarray objects or a single numpy.ndarray.
            The predicted results.
        
autokeras/auto_model.py