class_docstr: Keras classifier has the following attributes:
  
  Attributes:
      _model: the compiled keras classifier
      _input:  input placeholder of the model
      _output: output placeholder of the model
      _nb_classes:  number of outputs (e.g. binary classifier has 1 output)
      _input_shape: shape of 1 input sample
docstr: returns classes instead of probabilities
docstr_tok: ["returns","classes","instead","of","probabilities"]
code: def predict_classes(self, x, verbose=0):
      """
      returns classes instead of probabilities
      """
      return self._model.predict_classes(x, verbose=verbose)
  
imports: import abc
  import sys
  import numpy
  import torch
label_desc: Use image node_id 3 for calling the KerasClassifier obj's underlying member method code with example usage: obj.predict_classes(x, verbose) and returns: self