233f859f7218e31357d05aa8c3752dc552197130,dask_ml/preprocessing/data.py,MinMaxScaler,inverse_transform,#MinMaxScaler#Any#Any#Any#,115

Before Change

                X[column] = _X[column]
            return X
        else:
            return _X


class QuantileTransformer(skdata.QuantileTransformer):
    Transforms features using quantile information.

After Change

                            "Call "fit" with appropriate arguments before "
                            "using this method.")
        X = X.copy()
        if isinstance(X, dd.DataFrame):
            X = X.sub(self.min_)
            X = X.div(self.scale_)
        else:
            X -= self.min_
            X /= self.scale_

        return X


class QuantileTransformer(skdata.QuantileTransformer):

Instances