0.2.0
- Add Recursive Feature Eliminator feature selector
- Can now disable holdout validation in MLP learners
- TF-IDF Transformer additive (Laplace) smoothing now variable
- Added instability detection to gradient-based learners
- Gradient Boost validation set holdout can now be 0
- Specifications now extend base class
- Rename Dataset validate argument to verify
- Ball Tree Cluster nodes are now called Cliques
- ITree cells are now called Depth nodes
- Added Dataset join() method and deprecated augment()
- Added score() method to Ranking API and deprecated rank()
- Renamed Radius Neighbors anomalyClass to outlierClass
- HTML Stripper can now allow user-specified tags
- Sparse Random Projector now has variable sparsity
- Deprecated Dense Random Projector transformer
Note: This update includes changes to class definitions which may break previously persisted models if upgraded. See the caveats section of the persistence documentation for more info.