class TestFeature(AsyncTestCase):
def setUp(self):
self.feature = Feature()
def test_default_dtype(self):
self.assertEqual(self.feature.dtype(), int)
def test_default_length(self):
self.assertEqual(self.feature.length(), 1)
async def test_default_applicable(self):
self.assertEqual(await self.feature.applicable(Data("test")), True)
def test_load_def(self):
feature = Feature.load_def("test", "float", 10)
self.assertEqual(feature.NAME, "test")
self.assertEqual(feature.dtype(), float)
self.assertEqual(feature.length(), 10)
def test_convert_dtype(self):
self.assertEqual(Feature.convert_dtype("float"), float)
def test_convert_dtype_invalid(self):
with self.assertRaisesRegex(TypeError, "Failed to convert"):
Feature.convert_dtype("not a python data type")
class TestFeature(AsyncTestCase):
def setUp(self):
self.feature = Feature()
def test_default_dtype(self):
self.assertEqual(self.feature.dtype(), int)
def test_default_length(self):
self.assertEqual(self.feature.length(), 1)
async def test_default_applicable(self):
self.assertEqual(await self.feature.applicable(Data('test')), True)
def feature_feature_column(self, feature: Feature):
'''
Creates a feature column for a feature
'''
dtype = feature.dtype()
if not inspect.isclass(dtype):
LOGGER.warning('Unknown dtype %r. Cound not create column' % (dtype))
return None
if dtype is int or issubclass(dtype, int) \
or dtype is float or issubclass(dtype, float):
return self._tf.feature_column.numeric_column(feature.NAME,
shape=feature.length())
LOGGER.warning('Unknown dtype %r. Cound not create column' % (dtype))
return None
def _feature_feature_column(self, feature: Feature):
"""
Creates a feature column for a feature
"""
dtype = feature.dtype()
if not inspect.isclass(dtype):
self.logger.warning("Unknown dtype %r. Cound not create column" %
(dtype))
return None
if (dtype is int or issubclass(dtype, int) or dtype is float
or issubclass(dtype, float)):
return tensorflow.feature_column.numeric_column(
feature.NAME, shape=feature.length())
self.logger.warning("Unknown dtype %r. Cound not create column" %
(dtype))
return None