Added more algorithm implementations
- Binary Classification
- 72 Density Weighted Uncertainty Sampling
- 79 Uncertainty Sampling (entropy)
- 80 Query By Committee (KL-divergence)
- 98 Expected Error Reduction
- Multilabel Classification
- 74 Maximum loss reduction with Maximal Confidence
- 83 Multilabel active learning with Auxiliary Learner
- 85 Binary Minimization
- 91 Adaptive active learning
- Cost-Sensitive Multiclass Classification
- 76 Active Learning with Cost Embedding
Model
- 70 Scikit-learn model adapter
- Multilabel classification model
Documentation