class_docstr: Base N logarithm transform.
class_docstr_tok: ["Base","N","logarithm","transform","."]
code: def inverse_transform(self, Xt):
      return self._base ** np.asarray(Xt, dtype=float)
  
imports: from __future__ import division
  import numpy
  from sklearn.preprocessing import LabelBinarizer
  from sklearn.utils import column_or_1d
label_desc: Use image node_id 3 for calling the LogN obj's underlying member method code with example usage: obj.inverse_transform(Xt) and returns: unknown