class_docstr: Iterative estimation of row and column centering/scaling
  using the algorithm from page 31 of:
      Matrix Completion and Low-Rank SVD via Fast Alternating Least Squares
code: def transform(self, X):
      X = np.asarray(X).copy()
      if self.center_columns:
          X -= self.column_centers
      if self.scale_columns:
          X /= self.column_scales
      return X
  
imports: import numpy
label_desc: Use image node_id 3 for calling the Scaler obj's underlying member method code with example usage: obj.transform(X) and returns: X