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Replace values in multi-column 1-hot encoded features instead of appending so that options are narrowed down

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Signed-off-by: abigailt <abigailt@il.ibm.com>
This commit is contained in:
abigailt 2023-12-24 13:13:52 -05:00
parent 0e01e19e0c
commit f646109e84
2 changed files with 53 additions and 11 deletions
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18
apt/minimization/minimizer.py
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@ -602,7 +602,7 @@ class GeneralizeToRepresentative(BaseEstimator, MetaEstimatorMixin, TransformerM
elif feature in cell['untouched']:
continue
else:
raise TypeError("feature " + feature + "not found in cell" + cell['id'])
raise TypeError("feature " + str(feature) + " not found in cell " + str(cell['id']))
# Mark as mapped
mapped.itemset(index, 1)
return True
@ -736,24 +736,20 @@ class GeneralizeToRepresentative(BaseEstimator, MetaEstimatorMixin, TransformerM
feature_value = 0
elif range['end'] is None and range['start'] > 0:
feature_value = 1
elif range['start'] is not None and range['end'] is not None:
print(range)
new_cell['categories'][feature].append(feature_value)
new_cell['categories'][feature] = [feature_value]
# need to add other columns that represent same 1-hot encoded feature
# search for feature group:
other_features, encoded = self._get_other_features_in_encoding(feature, self.feature_slices)
for other_feature in other_features:
if other_feature not in new_cell['categories'].keys():
new_cell['categories'][other_feature] = []
if feature_value == 1:
new_cell['categories'][other_feature].append(0)
new_cell['categories'][other_feature] = [0]
elif len(encoded) == 2:
new_cell['categories'][other_feature].append(1)
else:
new_cell['categories'][other_feature].append(0)
new_cell['categories'][other_feature].append(1)
new_cell['categories'][other_feature] = [1]
elif (other_feature not in new_cell['categories'].keys() or
len(new_cell['categories'][other_feature]) == 0):
new_cell['categories'][other_feature] = [0, 1]
else:
if feature in cell['ranges'].keys():
new_cell['ranges'][feature] = cell['ranges'][feature]