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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
Custom Table	TABLE	True	This dataset corresponds to any attributes used to predict the target. For example, predicting housing price based on locality, utilities, area of house, etc.

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: Custom Table

This dataset corresponds to any attributes used to predict the target. For example, predicting housing price based on locality, utilities, area of house, etc.

Feature Mapping	Feature Type	Required	Description
TARGET		Y	Target variable
[RELEVANT ATTRIBUTE/DEPENDENT VARIABLE]		Y	Any relevant variable (dependent variable) that can influence the target variable (dependent variable). The more data you have, the better the AI model.