Using the SageMaker Autopilot SDK
The Amazon SageMaker SDK includes a simple API for SageMaker Autopilot. You can find its documentation at https://sagemaker.readthedocs.io/en/stable/automl.html.
In this section, you'll learn how to use this API to train a model on the same dataset as in the previous section.
Launching a job
The SageMaker SDK makes it extremely easy to launch an Autopilot job – just upload your data in S3, and call a single API! Let's see how:
- First, we import the SageMaker SDK:
import sagemaker sess = sagemaker.Session()
- Then, we download the dataset:
%%sh wget -N https://sagemaker-sample-data-us-west-2.s3-us-west-2.amazonaws.com/autopilot/direct_marketing/bank-additional.zip unzip -o bank-additional.zip
- Next, we upload the dataset to S3:
bucket = sess.default_bucket()Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â prefix = 'sagemaker/DEMO-automl...
