def create_model()

in targeted-marketing-python/build_model.py [0:0]

• 16 lines of code
• 2 McCabe index (conditional complexity)

def create_model(ml, train_ds_id, recipe_fn, name):
    """Creates an ML Model object, which begins the training process.
The quality of the model that the training algorithm produces depends
primarily on the data, but also on the hyper-parameters specified
in the parameters map, and the feature-processing recipe.
    """
    model_id = 'ml-' + base64.b32encode(os.urandom(10))
    ml.create_ml_model(
        MLModelId=model_id,
        MLModelName=name + " model",
        MLModelType="BINARY",  # we're predicting True/False values
        Parameters={
            # Refer to the "Machine Learning Concepts" documentation
            # for guidelines on tuning your model
            "sgd.maxPasses": "100",
            "sgd.maxMLModelSizeInBytes": "104857600",  # 100 MiB
            "sgd.l2RegularizationAmount": "1e-4",
        },
        Recipe=open(recipe_fn).read(),
        TrainingDataSourceId=train_ds_id
    )
    print("Created ML Model %s" % model_id)
    return model_id