Required Feature Group Types

To train a model under this use case, you will need to create feature groups of the following type(s):

Feature Group Type API Configuration Name Required Description
Spend timeseries TIMESERIES True This dataset corresponds to the historical time series data for cloud spend.

Note: Once you upload the datasets under each Feature Group Type that comply with their respective required schemas, you will need to create Machine learning (ML) features that would be used to train your ML model(s). We use the term, "Feature Group" for a group of ML features (dataset columns) under a specific Feature Group Type. Our system support extensible schemas that enables you to provide any number of additional columns/features that you think are relevant to that Feature Group Type.


Feature Group: Spend timeseries

This dataset corresponds to the historical time series data for cloud spend.

Feature Mapping Feature Type Required Description
SERVICE_ID categorical Y The unique ID of the service that needs to be monitored for possible anomalies.
TIMESTAMP timestamp Y The timestamp of the cost
[COST OR OTHER VALUES] Y The cost of this service at this time or any other metric to track