Adds a tutorial on multi-label problems and a configurable data source generator for multi-label demos. #166
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…lti-label values from various input formats.
… data to be transformed.
pogren
previously approved these changes
Aug 31, 2021
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most of the code changes look minor - mostly javadoc updates and small updates like e.g. the return type of GaussianAnomalyDataSource.generateDataset - which is now MutableDataset rather than Dataset. The one major code update is the new class MultiLabelGaussianDataSource which I looked over but didn't study closely. I made a bunch of comments in the slack channel about various edits to the tutorial. So, before you merge this PR don't forget to make those updates!
pogren
approved these changes
Aug 31, 2021
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Description
Adds a tutorial on multi-label problems showing the multi-label
LinearSGDTrainer, the binary relevance basedIndependentMultiLabelTrainer, a single classifier chain usingClassifierChainTrainer, and an ensemble of classifier chains usingCCEnsembleTrainer.It also adds a configurable data source generator for multi-label data.
Note the configurable data source won't provenance correctly until Tribuo depends on a version of OLCUT with this PR merged (oracle/olcut#37), and so it's not part of the unit tests yet.
Motivation
We'd like tutorials for each prediction type in Tribuo and multi-label was the last type without a tutorial.
It also adds the last configurable data source needed to round out the set of demo sources for each prediction type (see #160 for longer motivation).