def setPositiveExampleWeightMult()

in sagemaker-pyspark-sdk/src/sagemaker_pyspark/algorithms/LinearLearnerSageMakerEstimator.py [0:0]

• 8 lines of code
• 5 McCabe index (conditional complexity)

    def setPositiveExampleWeightMult(self, value):
        if isinstance(value, numbers.Real) and value <= 0:
            raise ValueError("positive_example_weight_mult must be 'auto', 'balanced' or > 0, "
                             "got: %s" % value)
        if value not in ('auto', 'balanced') and float(value) <= 0:
            raise ValueError("positive_example_weight_mult must be 'auto', 'balanced' or > 0, "
                             "got: %s" % value)
        self._set(positive_example_weight_mult=str(value))