Change log¶
- 04/2017: Release of version 0.1.3
- Initial stable version released.
- 07/2017: Release of version 0.1.4
- Prediction array dtype option (default=float32)
- Feature propagation
- Clustered subsemble partitioning
- No memmaps passed to estimators (only ndarray views)
- Global configuration (mlens.config)
- Scoring exception handling
- 07/2017: Release of version 0.1.5
- Possible to set environmental variables
spawn
as default start method for parallel jobs (w. multiprocessing)- Possible to specify
y
as partition input in Clustered subsemble partitioning- Minor bug fixes
- Refactored backend for streamlined front-end feature development
- 07/2017 Release of version 0.1.5.1 and 0.1.5.2
- Bug fixes
clear_cache
function to check for residual caches. Safeguard against old caches not being killed.
- 08/2017 Release of version 0.1.6
- Propagate sparse input features
- On the fly prediction array generation
- Threading as default backend,
fork
as default fork method- Bug fixes