class_docstr: StandardScaler for mean-scale normalization with the given mean and scale values.
class_docstr_tok: ["StandardScaler","for","mean-scale","normalization","with","the","given","mean","and","scale","values","."]
code: def inverse_transform(self, X):
      X = np.asarray(X)
      X *= self.scale_
      X += self.mean_
      return X
  
imports: import numpy
  import torch
  from scipy.stats import betabinom
  from torch.nn import functional
label_desc: Use image node_id 5 for calling the StandardScaler obj's underlying member method code with example usage: obj.inverse_transform(X) and returns: X