3e48bcfabca9fa430135cd1e6a737fc365943391,autosklearn/estimators.py,AutoSklearnClassifier,predict_proba,#AutoSklearnClassifier#Any#,288
Before Change
y : array of shape = [n_samples, n_classes] or [n_samples, n_labels]
The predicted class probabilities.
return super(AutoSklearnClassifier, self).predict_proba(X)
class AutoSklearnRegressor(autosklearn.automl.AutoML):
After Change
y : array of shape = [n_samples, n_classes] or [n_samples, n_labels]
The predicted class probabilities.
return self._automl.predict(X)
class AutoSklearnRegressor(AutoSklearnEstimator):
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 5
Instances Project Name: automl/auto-sklearn
Commit Name: 3e48bcfabca9fa430135cd1e6a737fc365943391
Time: 2016-05-29
Author: a.domashnev@gmail.com
File Name: autosklearn/estimators.py
Class Name: AutoSklearnClassifier
Method Name: predict_proba
Project Name: scikit-multiflow/scikit-multiflow
Commit Name: 7e0e9b744c1c307d3e42f8feae764ee090fad1ce
Time: 2019-04-08
Author: andrecruz97@gmail.com
File Name: src/skmultiflow/meta/dynamic_weighted_majority.py
Class Name: DynamicWeightedMajority
Method Name: predict
Project Name: scikit-multiflow/scikit-multiflow
Commit Name: 25723006dbd088a24215b23242e55d06e12afd8e
Time: 2019-04-14
Author: andrecruz97@gmail.com
File Name: src/skmultiflow/meta/additive_expert_ensemble.py
Class Name: AdditiveExpertEnsemble
Method Name: predict