docstr: First undo normalization and then clip to the user-specified min/max
  range.
docstr_tok: ["First","undo","normalization","and","then","clip","to","the","user-specified","min\/max","range","."]
code: def project_result(self, X):
      """
      First undo normalization and then clip to the user-specified min/max
      range.
      """
      X = np.asarray(X)
      if self.normalizer is not None:
          X = self.normalizer.inverse_transform(X)
      return self.clip(X)
  
file_path: fancyimpute/fancyimpute/solver.py
imports: import warnings
  import numpy
  from sklearn.utils import check_array
  from .common import generate_random_column_samples
label_desc: Use image node_id 10 for calling the Solver obj's underlying member method code with example usage: obj.project_result(X) and returns: self