Fedot v.0.6.0 has been released!

[nicl-nno]

Hi everyone!
We released a new major version of FEDOT - 0.6.0

It includes a lot of major changes:

• Improvement of API for multi-modal datasets and models;
• New PipelineBuilder (Refactor pipeline generation as builder #509  #597) – that simplifies manual construction of ML Pipelines;
• Joblib was embedded as a multiprocessing backend (Embedding joblib #843). Data exchange between processes minimized (Fix multiprocessing data exchange #926);
• Embedding stratify k fold strategy for cases with imbalance data;
• New visualization of graphs, pipelines and optimisation history;

Also, this release contains by a lot of architectural refactorings of the framework:

• New Graph Adapter subsystem (Redesign Adapter subsystem #876);
• Merging two different implementation of evolutionary optimizer (parameter-free & usual) into one EvoGraphOptimizer (Unify implementations of GP Optimisers #687)
• Architectural refactorings of the Graph hierarchy (Unify Graph class hierarchy #750)
• Introduce notions of Objective & Fitness (Abstract notion of Fitness and unify its usages #654) – classes that substitutes simple float metric values & abstract single vs. multi-objective metrics
• Refactored parameter classes – for more intuitive segregation of different parameters controlling optimization process (Refactor API: ComposerRequirements and ComposerBuilder #852)
• Refactored DataMerger facility
• Refactoring of selection operator implementation (Selection minor refactoring #918)

Also, there are various bug-fixes related to ML operations, evolutionary operators & internal Graph operations.