def test_csv_no_data(self):
filename = _make_csv_time_series(num_features=1,
num_samples=0,
test_tmpdir=self.get_temp_dir())
time_series_reader = input_pipeline.CSVReader([filename])
with self.assertRaises(errors.OutOfRangeError):
self._test_out_of_order(time_series_reader,
discard_out_of_order=True)
def test_csv_no_data(self):
filename = _make_csv_time_series(num_features=1,
num_samples=0,
test_tmpdir=self.get_temp_dir())
time_series_reader = input_pipeline.CSVReader([filename])
with self.assertRaises(errors.OutOfRangeError):
self._whole_dataset_input_fn_test_template(
time_series_reader=time_series_reader,
num_features=1,
num_samples=50)
def test_csv_multivariate(self):
filename = _make_csv_time_series(num_features=2,
num_samples=50,
test_tmpdir=self.get_temp_dir())
time_series_reader = input_pipeline.CSVReader(
[filename],
column_names=(TrainEvalFeatures.TIMES, TrainEvalFeatures.VALUES,
TrainEvalFeatures.VALUES))
self._test_multivariate(time_series_reader=time_series_reader,
num_features=2)
def test_csv(self):
filename = _make_csv_time_series(num_features=1,
num_samples=50,
test_tmpdir=self.get_temp_dir())
time_series_reader = input_pipeline.CSVReader(
[filename],
column_names=(TrainEvalFeatures.TIMES, TrainEvalFeatures.VALUES))
self._all_window_input_fn_test_template(
time_series_reader=time_series_reader,
num_samples=50,
window_size=10)
def test_csv_discard_out_of_order_window_equal(self):
filename = _make_csv_time_series(num_features=1,
num_samples=3,
test_tmpdir=self.get_temp_dir())
time_series_reader = input_pipeline.CSVReader([filename])
self._random_window_input_fn_test_template(
time_series_reader=time_series_reader,
num_features=1,
window_size=3,
batch_size=5,
discard_out_of_order=True)
def test_csv_discard_out_of_order_window_too_large(self):
filename = _make_csv_time_series(num_features=1,
num_samples=2,
test_tmpdir=self.get_temp_dir())
time_series_reader = input_pipeline.CSVReader([filename])
with self.assertRaises(errors.OutOfRangeError):
self._random_window_input_fn_test_template(
time_series_reader=time_series_reader,
num_features=1,
window_size=3,
batch_size=5,
discard_out_of_order=True)
def test_csv_discard_out_of_order(self):
filename = _make_csv_time_series(num_features=1,
num_samples=50,
test_tmpdir=self.get_temp_dir())
time_series_reader = input_pipeline.CSVReader([filename])
self._test_out_of_order(time_series_reader, discard_out_of_order=True)