Multi-Label Classification

Multi-label classification models predict multiple outcomes. In Aporia, these models are represented with the multi-label model type.

Examples of multi-label classification problems:

• Is this song sad, happy, funny, rock, jazz, or all simultaneously?

• Does this movie belong to one or more of the 'romantic', 'comedy', 'documentary', 'thriller' categories, or all simultaneously?

Data Format In DB

If you have a model with multi category prediction, then your database may look like the following:

id	feature1 (numeric)	feature2 (boolean)	prediction (array)	label (array)	timestamp (datetime)
1	13.5	True	[Action, Horror]	[Drama, Horror]	2014-10-19 10:23:54
2	-8	False	[Drama, Horror]	[Thriller]	2014-10-19 10:24:24

To integrate this type of model follow our Quickstart, and during the schema mapping remember to include a arrayprediction field and arrayactual field and linked them together.

Check out the data sources section for more information about how to connect from different data sources.