def _get_type_boundaries(
self,
features: List[int],
normalization_parameters: Dict[int, NormalizationParameters],
) -> List[int]:
feature_starts = []
on_feature_type = -1
for i, feature in enumerate(features):
assert normalization_parameters.get(feature, None) is not None, (
"feature "
+ str(feature)
+ " not found in normalization_parameters: "
+ str(normalization_parameters.keys())
)
feature_type = normalization_parameters[feature].feature_type
feature_type_index = FEATURE_TYPES.index(feature_type)
assert (
feature_type_index >= on_feature_type
), "Features are not sorted by feature type!"
while feature_type_index > on_feature_type:
feature_starts.append(i)
on_feature_type += 1
while on_feature_type < len(FEATURE_TYPES):
feature_starts.append(len(features))
on_feature_type += 1
return feature_starts
def _get_type_boundaries(
self,
features: List[int],
normalization_parameters: Dict[int, NormalizationParameters],
) -> List[int]:
feature_starts = []
on_feature_type = -1
for i, feature in enumerate(features):
assert normalization_parameters.get(feature, None) is not None, (
"feature "
+ str(feature)
+ " not found in normalization_parameters: "
+ str(normalization_parameters.keys())
)
feature_type = normalization_parameters[feature].feature_type
feature_type_index = FEATURE_TYPES.index(feature_type)
assert (
feature_type_index >= on_feature_type
), "Features are not sorted by feature type!"
while feature_type_index > on_feature_type:
feature_starts.append(i)
on_feature_type += 1
while on_feature_type < len(FEATURE_TYPES):
feature_starts.append(len(features))
on_feature_type += 1
return feature_starts
def _get_type_boundaries(self) -> List[int]:
feature_starts = []
on_feature_type = -1
for i, feature in enumerate(self.sorted_features):
feature_type = self.normalization_parameters[feature].feature_type
feature_type_index = FEATURE_TYPES.index(feature_type)
assert (feature_type_index >= on_feature_type
), "Features are not sorted by feature type!"
while feature_type_index > on_feature_type:
feature_starts.append(i)
on_feature_type += 1
while on_feature_type < len(FEATURE_TYPES):
feature_starts.append(len(self.sorted_features))
on_feature_type += 1
return feature_starts
def _get_type_boundaries(self) -> List[int]:
feature_starts = []
on_feature_type = -1
for i, feature in enumerate(self.sorted_features):
feature_type = self.normalization_parameters[feature].feature_type
feature_type_index = FEATURE_TYPES.index(feature_type)
assert (
feature_type_index >= on_feature_type
), "Features are not sorted by feature type!"
while feature_type_index > on_feature_type:
feature_starts.append(i)
on_feature_type += 1
while on_feature_type < len(FEATURE_TYPES):
feature_starts.append(len(self.sorted_features))
on_feature_type += 1
return feature_starts
def _get_type_boundaries(
self,
features: List[str],
normalization_parameters: Dict[str, NormalizationParameters],
) -> List[int]:
feature_starts = []
on_feature_type = -1
for i, feature in enumerate(features):
feature_type = normalization_parameters[feature].feature_type
feature_type_index = FEATURE_TYPES.index(feature_type)
assert feature_type_index >= on_feature_type, \
"Features are not sorted by feature type!"
while feature_type_index > on_feature_type:
feature_starts.append(i)
on_feature_type += 1
while on_feature_type < len(FEATURE_TYPES):
feature_starts.append(len(features))
on_feature_type += 1
return feature_starts
