def test_time_series_input_node_deserialize_build_no_error(): node = nodes.TimeseriesInput(lookback=2, shape=(32, )) node = nodes.deserialize(nodes.serialize(node)) hp = keras_tuner.HyperParameters() input_node = node.build_node(hp) node.build(hp, input_node)
def test_time_series_input_node_build_to_a_tensor(): node = nodes.TimeseriesInput(lookback=2, shape=(32, )) hp = kerastuner.HyperParameters() input_node = node.build_node(hp) output = node.build(hp, input_node) assert isinstance(output, tf.Tensor)
def __init__(self, outputs, column_names=None, column_types=None, lookback=None, predict_from=1, predict_until=None, **kwargs): inputs = input_module.TimeseriesInput(lookback=lookback, column_names=column_names, column_types=column_types) super().__init__(inputs=inputs, outputs=outputs, **kwargs) self.predict_from = predict_from self.predict_until = predict_until self._target_col_name = None self.train_len = 0