docstr: Given an initialized matrix X and a mask of where its missing values
  had been, return a completion of X.
docstr_tok: ["Given","an","initialized","matrix","X","and","a","mask","of","where","its","missing","values","had","been",",","return","a","completion","of","X","."]
code: def solve(self, X, missing_mask):
      """
      Given an initialized matrix X and a mask of where its missing values
      had been, return a completion of X.
      """
      raise ValueError(
          "%s.solve not yet implemented!" % (self.__class__.__name__,)
      )
  
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 11 for calling the Solver obj's underlying member method code with example usage: obj.solve(X, missing_mask) without return types