Multi-Label Classification
Last updated
Last updated
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?
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) |
|---|---|---|---|---|---|
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.
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