Now that you've published your ML App, you can add data and build its first model.
Your ML App's model can be built from historical or related data. Linking data is easy. Follow the steps below to use these SAVVI features.
Step 1: Link Data
There are a few methods for linking data to your ML App:
Upload Historical Data
Upload Historical Data
Select the Download Templates button. In the modal, select Download Template Only. A new tab will open and your computer's operating system will prompt you to save the file. In the downloaded file's structure, format or paste in the historical data.
In SAVVI, click the Upload button and select the file for upload. Upon successful upload, you will receive a confirmation alert in SAVVI and members of the account will receive an email.
Note: Be sure not to change the text in the header rows of your template. The data populated must match the Data Label's Type for it to be linked to the ML App; e.g., if the data is “AgeInYears” with its type as a number, then the data must be filled with a number.
Link Related Data
Link Related Data
Select the Manage Data Sources button. Next, select the options you'd like to link to your ML App. Click the Save button to link the other data sources and jump to the Events tab to see all data linked with your ML App.
NOTE: When you've published an ML App with synthetic data from Templates, you may skip to Step 2: Build Models.
Step 2: Build Models
Select the Make Model button. Upon success, you will see highlights about your ML Apps model.
With data and models, your ML App is ready to be Implemented and Managed. Huzzah! 🎉