class_docstr: Base class for Pytorch-based estimators (currently only classifiers) for
  use in TPOT.
  
  In the future, these will be merged into TPOT's main code base.
class_docstr_tok: ["Base","class","for","Pytorch-based","estimators","(","currently","only","classifiers",")","for","use","in","TPOT",".","In","the","future",",","these","will","be","merged","into","TPOT","'s","main","code","base","."]
code: def fit(self, X, y):  # pragma: no cover
      pass
  
imports: from abc import abstractmethod
  import numpy
  from sklearn.base import BaseEstimator, ClassifierMixin
  from sklearn.utils.validation import check_X_y, assert_all_finite, check_array, check_is_fitted
  from sklearn.utils.multiclass import type_of_target
label_desc: Use image node_id 1 for calling the PytorchEstimator obj's underlying member method code with example usage: obj.fit(X, y) without return types