5bf139b5a4312e6bfbe6a196e68fb261ef674368,src/skmultiflow/bayes/naive_bayes.py,NaiveBayes,predict,#NaiveBayes#Any#,74
Before Change
if not hasattr(self.classifier, "classes_"):
return [0]
return self.classifier.predict(X)
def predict_proba(self, X):
predict_proba
After Change
r, _ = get_dimensions(X)
predictions = deque()
y_proba = self.predict_proba(X)
for i in range(r):
class_val = np.argmax(y_proba[i])
predictions.append(class_val)
return np.array(predictions)
def predict_proba(self, X):
Predicts the probability of each sample belonging to each one of the
known classes.
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 12
Instances
Project Name: scikit-multiflow/scikit-multiflow
Commit Name: 5bf139b5a4312e6bfbe6a196e68fb261ef674368
Time: 2019-02-25
Author: jacob.montiel@gmail.com
File Name: src/skmultiflow/bayes/naive_bayes.py
Class Name: NaiveBayes
Method Name: predict
Project Name: scikit-multiflow/scikit-multiflow
Commit Name: 6496c605ad12f3eaac3939804ee8bef0b82a2692
Time: 2019-02-27
Author: aquancva@gmail.com
File Name: src/skmultiflow/bayes/naive_bayes.py
Class Name: NaiveBayes
Method Name: predict
Project Name: dpressel/mead-baseline
Commit Name: 8a420e8ef11ebf828e5e5b33e8a830eb74c39d6a
Time: 2020-03-09
Author: blester125@gmail.com
File Name: baseline/services.py
Class Name: ClassifierService
Method Name: predict