229d418b9e473948294e12310cb87a38f32a831c,autosklearn/pipeline/components/classification/liblinear_svc.py,LibLinear_SVC,fit,#LibLinear_SVC#Any#Any#,30

Before Change



        if check_true(self.dual):
            self.dual = True
        elif check_false(self.dual):
            self.dual = False
        else:
            self.dual = self.dual

        if check_true(self.fit_intercept):
            self.fit_intercept = True
        elif check_false(self.fit_intercept):
            self.fit_intercept = False
        else:
            self.fit_intercept = self.fit_intercept

        self.intercept_scaling = float(self.intercept_scaling)

        if self.class_weight == "None" or self.class_weight is None:
            self.class_weight = None

        estimator = sklearn.svm.LinearSVC(penalty=self.penalty,
                                          loss=self.loss,

After Change



        self.intercept_scaling = float(self.intercept_scaling)

        if check_none(self.class_weight):
            self.class_weight = None

        estimator = sklearn.svm.LinearSVC(penalty=self.penalty,
Italian Trulli
In pattern: SUPERPATTERN

Frequency: 3

Non-data size: 11

Instances


Project Name: automl/auto-sklearn
Commit Name: 229d418b9e473948294e12310cb87a38f32a831c
Time: 2018-01-12
Author: eggenspk@informatik.uni-freiburg.de
File Name: autosklearn/pipeline/components/classification/liblinear_svc.py
Class Name: LibLinear_SVC
Method Name: fit


Project Name: automl/auto-sklearn
Commit Name: 229d418b9e473948294e12310cb87a38f32a831c
Time: 2018-01-12
Author: eggenspk@informatik.uni-freiburg.de
File Name: autosklearn/pipeline/components/classification/libsvm_svc.py
Class Name: LibSVM_SVC
Method Name: fit


Project Name: automl/auto-sklearn
Commit Name: 229d418b9e473948294e12310cb87a38f32a831c
Time: 2018-01-12
Author: eggenspk@informatik.uni-freiburg.de
File Name: autosklearn/pipeline/components/classification/liblinear_svc.py
Class Name: LibLinear_SVC
Method Name: fit


Project Name: automl/auto-sklearn
Commit Name: 229d418b9e473948294e12310cb87a38f32a831c
Time: 2018-01-12
Author: eggenspk@informatik.uni-freiburg.de
File Name: autosklearn/pipeline/components/regression/random_forest.py
Class Name: RandomForest
Method Name: iterative_fit