r3.3.0

Diagonal decoding, fmin functions with surrogate and more.

r3.2.2

Smallish fixes and improvements and a constraints use case notebook.

r3.2.1

• fixes plot of principal axes which were shown squared by mistake

r3.2.0

• constraints handling via a dynamic unconstrained function instantiated from cma.ConstrainedFitnessAL.
• many small improvements and fixes

r3.1.0

• fix return value of fmin_con and make it more usable, added attribute best_feasible
• polish evolution_strategy.py
• fix a few smallish bugs

r3.0.3

Fix bug when passing args in OOOptimizer.optimize.

r3.0.2

• fixed EvalParallel2 from r3.0.1
• EvalParallel2 allows to avoid multiprocessing all together, depending on the value of number_of_processes
• OOOptimizer.optimize can parallelize function calls (using EvalParallel2)

r3.0.1

• removed superfluous dependency
• fully removed EvalParallel replaced by EvalParallel2
• broken: EvalParallel2 allows to avoid multiprocessing all together, depending on the value of number_of_processes
• broken: OOOptimizer.optimize can parallelize function calls (using EvalParallel2)

r3.0.0

• constraints handling with an Augmented Lagrangian, see cma.fmin_con
• x0 and sigma0 cannot be a string anymore, but x0 may be a callable (a function)
• injections are excluded from negative covariance matrix updates addressing #124
• improved generic Logger, see cma.logger.Logger
• a wrapper as scikit optimizer, use import cma.wrapper
• plotting works now interactively also in a Jupyter notebook
• logger.plot(addcols=1) plots additionally correlation and precision matrices (experimental)
• new tolflatfitness termination option (replaces warnings/errors)
• new tolfunrel termination option (deactivated by default)
• "signals" file is active by default but ignored in verbose=-9 setting
• various other fixes and small improvements

available at PyPI.

r2.7.0

• CMADataLogger code moved to its own logger module
• output files go into a separate folder outcmaes by default
• improved matplotlib 3 compatibility
• contour_data and semilogy_signed helper functions
• fitness_transformations.EvalParallel2 class (different interface)
• fitness_models.LQModel introduced

available at PyPI.