def create_ml_model()

in k-fold-cross-validation/fold.py [0:0]

• 18 lines of code
• 1 McCabe index (conditional complexity)

    def create_ml_model(self):
        """
        Creates ML Model on Amazon ML using the training datasource.
        """
        self.ml_id = "ml-" + base64.b32encode(os.urandom(10)).decode("ascii")
        self.ml_name = "ML model: " + self.train_ds_name
        self._ml.create_ml_model(
            ml_model_id=self.ml_id,
            ml_model_name=self.ml_name,
            training_data_source_id=self.train_ds_id,
            ml_model_type=self.data_spec.ml_model_type,
            parameters={
                "sgd.maxPasses": self.data_spec.sgd_maxPasses,
                "sgd.maxMLModelSizeInBytes":
                self.data_spec.sgd_maxMLModelSizeInBytes,
                "sgd.l2RegularizationAmount":
                self.data_spec.sgd_l2RegularizationAmount
            },
            recipe=self.data_spec.recipe,
        )
        logger.info("Created ML Model " + self.ml_id)