Mlens Versions Save

• Pandas compatibility
• Ensembles for time series
• Softer parameter checks
• Bug fixes

• Param change check errors fixed
• Param change raise warning
• Minor bug fixes
• Copyright

Introducing the computational graph backend. Version 0.2.0 implements the Learner-Transformer API, which generalizes the backend and expands the low-level API.

Version 0.2.1. includes critical a patch for model selection.

• Bug fixes
• Print messages during estimation
• Clear cache

• Fixed model selection random draw argument bug

• Possible to set environmental variables
• multiprocessing default backend
• spawn as default start method for parallel jobs (w. multiprocessing)
• Possible to specify y as partition input in clustered subsumable partitioning
• Minor bug fixes
• Refactored backend for streamlined front-end feature development

Updates

• Prediction array dtype option (default=float32)
• Feature propagation
• Clustered subsemble partitioning
• No memmaps passed to estimators (only ndarray views)
• Threading as default global backend (changeable through mlens.config.BACKEND)
• Global configuration (mlens.config)
• Optional specification of temporary directory
• Scoring exception handling

Increased array checks, update of visualization APIs.

• accepts supervised transformation
• ensure training set is a view for K=2 and no preprocessing
• bug fixes model selection