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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
data log	TIMESERIES	True	Timeseries data used to train the model
Known Anomalies	TEST_LOG	False	A table listing all identified anomalies, with each column mirroring the format of the training timeseries data (data log).

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: data log

Timeseries data used to train the model

Feature Mapping	Feature Type	Required	Description
SERIES_ID	categorical	Y	The unique identifier associated with this data
TIMESTAMP	timestamp	Y	The timestamp when data was recorded

Feature Group: Known Anomalies

A table listing all identified anomalies, with each column mirroring the format of the training timeseries data (data log).

Feature Mapping	Feature Type	Required	Description
[ATTRIBUTE RELEVANT TO TRAINING FEATURE GROUP]		Y	Any attribute relevant to the training feature group