def data_to_model_domain(self, data: Table) -> Table:
"""
Transforms data to the model domain if possible.
Parameters
----------
data
Data to be transformed to the model domain
Returns
-------
Transformed data table
Raises
------
DomainTransformationError
Error indicates that transformation is not possible since domains
are not compatible
"""
if data.domain == self.domain:
return data
if self.original_domain.attributes != data.domain.attributes \
and data.X.size \
and not all_nan(data.X):
new_data = data.transform(self.original_domain)
if all_nan(new_data.X):
raise DomainTransformationError(
"domain transformation produced no defined values")
return new_data.transform(self.domain)
return data.transform(self.domain)
def data_to_model_domain(self, data: Table) -> Table:
if data.domain == self.domain:
return data
if self.original_domain.attributes != data.domain.attributes \
and data.X.size \
and not all_nan(data.X):
new_data = data.transform(self.original_domain)
if all_nan(new_data.X):
raise DomainTransformationError(
"domain transformation produced no defined values")
return new_data.transform(self.domain)
return data.transform(self.domain)
def data_to_model_domain(
self,
data: Table,
progress_callback: Callable = dummy_callback) -> Table:
"""
Transforms data to the model domain if possible.
Parameters
----------
data
Data to be transformed to the model domain
progress_callback
Callback - callable - to report the progress
Returns
-------
Transformed data table
Raises
------
DomainTransformationError
Error indicates that transformation is not possible since domains
are not compatible
"""
if data.domain == self.domain:
return data
progress_callback(0)
if self.original_domain.attributes != data.domain.attributes \
and data.X.size \
and not all_nan(data.X):
progress_callback(0.5)
new_data = data.transform(self.original_domain)
if all_nan(new_data.X):
raise DomainTransformationError(
"domain transformation produced no defined values")
progress_callback(0.75)
data = new_data.transform(self.domain)
progress_callback(1)
return data
progress_callback(0.5)
data = data.transform(self.domain)
progress_callback(1)
return data
def data_to_model_domain(self, data: Table, progress_callback: Callable) \
-> Table:
if data.domain == self.domain:
return data
progress_callback(0)
if self.original_domain.attributes != data.domain.attributes \
and data.X.size \
and not all_nan(data.X):
progress_callback(0.5)
new_data = data.transform(self.original_domain)
if all_nan(new_data.X):
raise DomainTransformationError(
"domain transformation produced no defined values")
progress_callback(0.75)
data = new_data.transform(self.domain)
progress_callback(1)
return data
progress_callback(0.5)
data = data.transform(self.domain)
progress_callback(1)
return data
def test_axis_1_with_nans(self, array):
expected = np.array([0, 1, 0, 0], dtype=bool)
result = all_nan(array(self.x_with_nans), axis=1)
np.testing.assert_equal(result, expected)
def test_axis_none_with_nans(self, array):
self.assertTrue(all_nan(array(self.x_only_nans)))
def test_axis_none_without_nans(self, array):
self.assertFalse(all_nan(array(self.x_no_nans)))
