8616f858c3756667e3184bd9ccc2b9d17b28cb30,deepchem/trans/transformers.py,MinMaxTransformer,untransform,#MinMaxTransformer#Any#,139

Before Change

    
    Undo transformation on provided data.
    
    if self.transform_X:
      raise NotImplementedError("MinMax does not work for X yet.")
    if self.transform_y:
      y_min = self.y_min
      y_max = self.y_max

After Change

    z: np.ndarray,
      Transformed X or y array
    
    if self.transform_X:
      X_max = self.X_max
      X_min = self.X_min

      return z * (X_max - X_min) + X_min

    elif self.transform_y:
      y_min = self.y_min
      y_max = self.y_max

      n_tasks = len(y_min)
      z_shape = list(z.shape)
      z_shape.reverse()

      for dim in z_shape:
        if dim != n_tasks and dim == 1:
          y_min = np.expand_dims(y_min, -1)
          y_max = np.expand_dims(y_max, -1)

      y = z * (y_max - y_min) + y_min
      return y


class NormalizationTransformer(Transformer):

  def __init__(self,
               transform_X=False,

Instances