fcb01e3b18c0b3304c4ff0b1f0b8b4ede518f762,ludwig/features/numerical_feature.py,NumericalFeatureMixin,get_feature_meta,#Any#Any#Any#,58

Before Change

                    "mean": compute(column.astype(np.float32).mean()),
                    "std": compute(column.astype(np.float32).std())
                }
            elif preprocessing_parameters["normalization"] == "minmax":
                return {
                    "min": compute(column.astype(np.float32).min()),
                    "max": compute(column.astype(np.float32).max())
                }
            else:

After Change

            numeric_transformation_registry
        )

        return numeric_transformer.fit_transform_params(column, backend)

    @staticmethod
    def add_feature_data(
            feature,

Instances