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