In this recipe, we will learn how to make predictions with an AWS ML service for binary classification using AWS CLI by going through the following steps:
- Prepare the data as a CSV and upload it to S3. Amazon ML requires a CSV with each row corresponding to an observation that may be used for training or testing. Each column also needs a name, which you can specify as the first row or specify separately using a schema file. You may also split data into multiple CSV files within the same bucket. If you have multiple files, you should provide a path ending with a forward slash (/).
As mentioned in the Getting ready section, we will reuse the sample data available in AWS, which is already uploaded to S3 at s3://aml-sample-data/banking.csv ...
