hyperactive.model.Model.train_model()

Complexity

Conditions

5

Size

Total Lines	19
Code Lines	15

Duplication

Lines	0
Ratio	0 %

Importance

Changes

0

# Author: Simon Blanke
    def train_model(self, para_dict):
        start_time = time.time()
        results = self.func_(para_dict, self.X, self.y)
        eval_time = time.time() - start_time

        if isinstance(results, tuple):
            score = results[0]
            model = results[1]
        elif (
            isinstance(results, float)
            or isinstance(results, np.float64)
            or isinstance(results, np.float32)
        ):
            score = results
            model = None
        else:
            print("Error: model function must return float or tuple")

        return score, eval_time, model

The variable model does not seem to be defined for all execution paths.

The variable score does not seem to be defined for all execution paths.