parameters: (self)
return_statement: return {
              'batch_end_callback': self.batch_cb,
              'eval_end_callback': self.eval_cb,
          }
docstring: returns **kwargs parameters for model.fit()
          to enable all callbacks.  e.g.
          model.fit(X=train, eval_data=test, **pdlogger.callback_args())
docstring_summary: returns **kwargs parameters for model.fit()
          to enable all callbacks.  e.g.
          model.fit(X=train, eval_data=test, **pdlogger.callback_args())
docstring_tokens: returns ** kwargs parameters for model . fit () to enable all callbacks . e . g . model . fit ( X = train eval_data = test ** pdlogger . callback_args () )
function: def callback_args(self):
          """returns **kwargs parameters for model.fit()
          to enable all callbacks.  e.g.
          model.fit(X=train, eval_data=test, **pdlogger.callback_args())
          """
          return {
              'batch_end_callback': self.batch_cb,
              'eval_end_callback': self.eval_cb,
          }
function_tokens: def callback_args ( self ) : return { 'batch_end_callback' : self . batch_cb , 'eval_end_callback' : self . eval_cb , }