Python ModelEvaluation.evaluate Examples

Example #1

 def do_evaluation(self, modeleval: ModelEvaluation, round_value=False,
                   make_nonnegative=False):
     ts_pred = self.fit_and_forecast(modeleval)
     if round_value:
         ts_pred = np.around(ts_pred)
     if make_nonnegative:
         ts_pred[ts_pred < 0] = 0
     modeleval.evaluate(modeleval.ts_test, ts_pred)

Example #2

File: baserate.py Project: tozammel/nested_Multi_Instance_Learning

 def do_evaluation(self, modeleval: ModelEvaluation, round_value=False,
                   make_nonnegative=False):
     # print("Fitting:", self.__class__)
     ts_pred = self.fit(modeleval)
     if round_value:
         ts_pred = np.around(ts_pred)
     if make_nonnegative:
         ts_pred[ts_pred < 0] = 0
     modeleval.evaluate(modeleval.ts_test, ts_pred)

Example #3

 def do_evaluation(self, modeleval: ModelEvaluation):
     ts_pred = self.fit(modeleval)
     modeleval.evaluate(modeleval.ts_test, ts_pred)