class_docstr: Handle Sparse Matrices
class_docstr_tok: ["Handle","Sparse","Matrices"]
code: def predict(self, X):
      return super(OLSSparse, self).predict(X.toarray())
  
file_path: mlens/mlens/parallel/tests/test_c_multi_sparse_feature_prop.py
imports: import numpy
  from scipy.sparse import csr_matrix
  from mlens.index import FoldIndex
  from mlens.ensemble.base import BaseEnsemble
  from mlens.externals.sklearn.validation import check_random_state
  from mlens.utils.dummy import OLS
label_desc: Use image node_id 2 for calling the OLSSparse obj's underlying member method code with example usage: obj.predict(X) and returns: super