in sagemaker-pyspark-sdk/src/sagemaker_pyspark/algorithms/LinearLearnerSageMakerEstimator.py [0:0]
def setNumModels(self, value):
if isinstance(value, numbers.Real) and value < 1:
raise ValueError("num_models must be 'auto' or > 0, got: %s" % value)
if value != 'auto' and int(value) < 1:
raise ValueError("num_models must be 'auto' or > 0, got: %s" % value)
self._set(num_models=str(value))