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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?
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.
Last modified 2mo ago