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 |
---|---|---|---|
Custom Table | TABLE | True | This dataset corresponds to any attributes used to predict the clusters. |
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.
This dataset corresponds to any attributes used to predict the clusters.
Feature Mapping | Feature Type | Required | Description |
---|---|---|---|
[RELEVANT ATTRIBUTE/DEPENDENT VARIABLE] | Y | Any relevant attribute that could influence clusters |