Amazon ML always suggests a recipe based on your datasource when you create a model. You can choose to use that recipe or to modify it. We will now create our first model and during that process analyze the recipe Amazon ML has generated for us.
Go to the model dashboard, and click on the Create new... | ML model button.
You will go through three screens:
- Select the datasource, choose the
Titanic train set with 11 variables. - Amazon ML will validate the datasource and present a summary.
- Choose the default or
Custommodel creation; choose the custom path:
The next screen is split between the attributes, their type and a sample of values on the left side, and the suggested recipe on the right side, as shown in the following screenshot:
This is where you can edit the recipe and replace it with a recipe of your own creation.
Note
You can find all the JSON in this chapter in the book's GitHub repository, properly formatted and indented at https://github.com...