Description
Integrate an training model into an app workflow, effectively productionalizing the model. The model(s) will be able to be ran on schedule.
Process Configuration
This process type requires two inputs, one being a test dataset and then other training dataset. It's typically used with the process type ML Engine Prediction.
Parameters
Package Location:
Location of the package of scripts in a cloud storage bucket.
Train Script File Name:
Name of the script file to execute.
Shell Script Arguments:
Arguments to pass to the script.
Output
Table Name:
The name of the model that results from the execution of this process.
Display Name:
The name of the table icon in the workflow of the app.
Expected Output
Outputs a model based on the test and training input datasets.