class_docstr: Mixin class for all density estimators in scikit-learn.
class_docstr_tok: ["Mixin","class","for","all","density","estimators","in","scikit-learn","."]
docstr: Returns the score of the model on the data X
  
  Parameters
  ----------
  X : array-like, shape = (n_samples, n_features)
  
  Returns
  -------
  score: float
docstr_tok: ["Returns","the","score","of","the","model","on","the","data","X","Parameters","--","--","--","--","--","X",":","array-like",",","shape","=","(","n_samples",",","n_features",")","Returns","--","--","--","-","score",":","float"]
code: def score(self, X, y=None):
      """Returns the score of the model on the data X
  
      Parameters
      ----------
      X : array-like, shape = (n_samples, n_features)
  
      Returns
      -------
      score: float
      """
      pass
  
imports: import copy
  import warnings
  import numpy
  from scipy import sparse
  from .externals import six
  from .utils.fixes import signature
  from .utils.deprecation import deprecated
  from .exceptions import ChangedBehaviorWarning
  from .None import __version__
label_desc: Use image node_id 1 for calling the DensityMixin obj's underlying member method code with example usage: obj.score(X, y) without return types