Integrate an training model into an app workflow, effectively productionalizing the model. The model(s) will be able to be ran on schedule.
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.
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.
The name of the model that results from the execution of this process.
The name of the table icon in the workflow of the app.
Outputs a model based on the test and training input datasets.