fcc2624ae4d70e050424b7786775e39c81357aa6,sklearn/dummy.py,DummyClassifier,fit,#DummyClassifier#Any#Any#Any#,86

Before Change

         self.n_classes_,
         self.class_prior_) = class_distribution(y, sample_weight)

        if (self.strategy == "constant" and
                any(constant[k] not in self.classes_[k]
                    for k in range(self.n_outputs_))):
            // Checking in case of constant strategy if the constant
            // provided by the user is in y.
            raise ValueError("The constant target value must be "
                             "present in training data")

        if self.n_outputs_ == 1 and not self.output_2d_:
            self.n_classes_ = self.n_classes_[0]
            self.classes_ = self.classes_[0]
            self.class_prior_ = self.class_prior_[0]

After Change

         self.class_prior_) = class_distribution(y, sample_weight)

        if self.strategy == "constant":
            for k in range(self.n_outputs_):
                if not any(constant[k][0] == c for c in self.classes_[k]):
                    // Checking in case of constant strategy if the constant
                    // provided by the user is in y.
                    err_msg = ("The constant target value must be present in "
                               "the training data. You provided constant={}. "
                               "Possible values are: {}."
                               .format(self.constant, list(self.classes_[k])))
                    raise ValueError(err_msg)

        if self.n_outputs_ == 1 and not self.output_2d_:
            self.n_classes_ = self.n_classes_[0]
            self.classes_ = self.classes_[0]
            self.class_prior_ = self.class_prior_[0]

Instances