original_docstring: For the input, do the predictions and return them.
  
          Args:
              input (a pandas dataframe): The data on which to do the
              predictions.
  
              There will be one prediction per row in the dataframe
          
docstring: For the input, do the predictions and return them.
  Args:
  input (a pandas dataframe): The data on which to do the
  predictions.
  
  There will be one prediction per row in the dataframe
docstring_tokens: For the input do the predictions and return them . Args : input ( a pandas dataframe ) : The data on which to do the predictions . There will be one prediction per row in the dataframe
code: def predict(cls, input):
          """For the input, do the predictions and return them.
  
          Args:
              input (a pandas dataframe): The data on which to do the
              predictions.
  
              There will be one prediction per row in the dataframe
          """
          sess = K.get_session()
          with sess.graph.as_default():
              clf = cls.get_model()
              return clf.predict(input)
code_tokens: def predict ( cls , input ) : sess = K . get_session ( ) with sess . graph . as_default ( ) : clf = cls . get_model ( ) return clf . predict ( input )
short_docstring: For the input, do the predictions and return them.
short_docstring_tokens: For the input do the predictions and return them .
comment: """For the input, do the predictions and return them.
  
          Args:
              input (a pandas dataframe): The data on which to do the
              predictions.
  
              There will be one prediction per row in the dataframe
          """