a580281571e5fd8f7148bae2d84ebaf0d99ee018,Orange/widgets/regression/owlinearregression.py,OWLinearRegression,commit,#OWLinearRegression#,104

Before Change

    def commit(self):
        alpha = self.alphas[self.alpha_index]
        args = {"preprocessors": self.preprocessors}
        if self.reg_type == OWLinearRegression.OLS:
            learner = LinearRegressionLearner(**args)
        elif self.reg_type == OWLinearRegression.Ridge:
            learner = RidgeRegressionLearner(alpha=alpha, **args)

After Change

    def commit(self):
        alpha = self.alphas[self.alpha_index]
        preprocessors = self.preprocessors
        if self.data is not None and np.isnan(self.data.Y).any():
            self.warning(0, "Missing values of target variable(s)")
            if not self.preprocessors:
                if self.reg_type == OWLinearRegression.OLS:
                    preprocessors = LinearRegressionLearner.preprocessors
                elif self.reg_type == OWLinearRegression.Ridge:
                    preprocessors = RidgeRegressionLearner.preprocessors
                else:
                    preprocessors = LassoRegressionLearner.preprocessors
            else:
                preprocessors = list(self.preprocessors)
            preprocessors.append(RemoveNaNClasses())
        args = {"preprocessors": preprocessors}
        if self.reg_type == OWLinearRegression.OLS:
            learner = LinearRegressionLearner(**args)
        elif self.reg_type == OWLinearRegression.Ridge:

Instances