e53691300371810b3f0052b811e92fd4ccb5f0c1,category_encoders/leave_one_out.py,LeaveOneOutEncoder,transform,#LeaveOneOutEncoder#Any#Any#Any#,156

Before Change

        // if we are encoding the training data, we have to check the target
        if y is not None:
            if isinstance(y, pd.DataFrame):
                y = y.iloc[:, 0].astype(float)
            else:
                y = pd.Series(y, name="target", index=X.index)
            if X.shape[0] != y.shape[0]:
                raise ValueError("The length of X is " + str(X.shape[0]) + " but length of y is " + str(y.shape[0]) + ".")

        if not self.cols:

After Change

        // if we are encoding the training data, we have to check the target
        if y is not None:
            y = util.convert_input_vector(y, X.index).astype(float)
            if X.shape[0] != y.shape[0]:
                raise ValueError("The length of X is " + str(X.shape[0]) + " but length of y is " + str(y.shape[0]) + ".")

        if not self.cols:

Instances