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
