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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.