def _test_confidence_intervals(dataset, group_compose=False):
pipeline = DeepARPipeline(epochs=1,
steps_per_epoch=1,
number_samples=10,
prediction_length=min_pred_lengths[dataset][0],
context_length=min_pred_lengths[dataset][0],
group_compose=group_compose,
confidence_intervals=True)
pipeline.write_pipeline()
pipeline.fit_produce(dataset)
pipeline.delete_pipeline()
def _test_serialize(dataset, group_compose=False):
pipeline = DeepARPipeline(
epochs=1,
steps_per_epoch=1,
number_samples=10,
prediction_length=min_pred_lengths[dataset][0],
context_length=min_pred_lengths[dataset][0],
group_compose=group_compose,
)
pipeline.write_pipeline()
pipeline.fit_serialize(dataset)
pipeline.deserialize_score(dataset)
pipeline.delete_pipeline()
pipeline.delete_serialized_pipeline()