apunkt/ai-privacy-toolkit
1
0
Fork 0
mirror of https://github.com/IBM/ai-privacy-toolkit.git synced 2026-05-10 04:22:37 +02:00
Code Issues Projects Releases Packages Wiki Activity Actions

fix bug and update test_model

Browse source
This commit is contained in:
olasaadi 2022-03-10 12:56:41 +02:00
parent fd9f134336
commit 300e391432
3 changed files with 19 additions and 13 deletions
Download patch file Download diff file Expand all files Collapse all files

3
apt/anonymization/anonymizer.py
View file

@ -66,6 +66,7 @@ class Anonymize:
self.anonymizer = DecisionTreeRegressor(random_state=10, min_samples_split=2, min_samples_leaf=self.k)
else:
self.anonymizer = DecisionTreeClassifier(random_state=10, min_samples_split=2, min_samples_leaf=self.k)
self.anonymizer.fit(x_prepared, y)
cells_by_id = self._calculate_cells(x, x_prepared)
return self._anonymize_data_numpy(x, x_prepared, cells_by_id)
@ -80,6 +81,8 @@ class Anonymize:
self.anonymizer = DecisionTreeRegressor(random_state=10, min_samples_split=2, min_samples_leaf=self.k)
else:
self.anonymizer = DecisionTreeClassifier(random_state=10, min_samples_split=2, min_samples_leaf=self.k)
if len(y.shape) > 1:
y = np.argmax(y, axis=1)
self.anonymizer.fit(x_prepared, y)
cells_by_id = self._calculate_cells(x, x_prepared)
return self._anonymize_data_pandas(x, x_prepared, cells_by_id)

5
apt/utils/models/sklearn_model.py
View file

@ -46,7 +46,10 @@ class SklearnClassifier(SklearnModel):
:type y: `np.ndarray` or `pandas.DataFrame`
"""
encoder = OneHotEncoder(sparse=False)
y_encoded = encoder.fit_transform(y.reshape(-1, 1))
if type(y) == np.ndarray:
y_encoded = encoder.fit_transform(y.reshape(-1, 1))
else:
y_encoded = encoder.fit_transform(y.values.reshape(-1, 1))
self._art_model.fit(x, y_encoded, **kwargs)
def predict(self, x: np.ndarray, **kwargs) -> np.ndarray: