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Jack Gerrits edited this page Jun 26, 2020
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This is a living document that will be updated as questions are asked and answered.
The --csoaa_ldf and --wap_ldf modes use label dependent features, which allow you to specify a dynamic set of labels on each example.
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- Contextual Bandit Zeroth Order Optimization
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- Epsilon Decay
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- Latent Dirichlet Allocation
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Examples
- Logged Contextual Bandit example
- One Against All (oaa) multi class example
- Weighted All Pairs (wap) multi class example
- Cost Sensitive One Against All (csoaa) multi class example
- Multiclass classification
- Error Correcting Tournament (ect) multi class example
- Malicious URL example
- Daemon example
- Matrix factorization example
- Rcv1 example
- Truncated gradient descent example
- Scripts
- Implement your own joint prediction model
- Predicting probabilities
- murmur2 vs murmur3
- Weight vector
- Matching Label and Prediction Types Between Reductions
- Zhen's Presentation Slides on enhancements to vw
- EZExample Archive
- Design Documents
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