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
