v1.0

Bump ytopt from 0.7 to 1.0

Add new examples for HPO for Julia and MSE

Add the best through autotuning process

Use python plots to visualize the HPO process and results

Update the documents and publication list

v0.7.0

Add two new examples HeFFTe and uqgrid to ytopt-libe
Fix some bugs and readme

v0.6.0

Add the OpenMC example using ytopt-libe
Move the folder Benchmarks (ECP proxy apps and PolyBench) from autotune to ytopt
Fix some bugs and update the readme

v0.5.0

Add the new HPO example hpo4llm
Improve the readme for HPO
Add the details when using more than 10 parameters

v0.4.0

Add the support for the latest configspace
Fix the bugs in scikit-optimize to support the latest scikit-learn
Add the support for the latest libensemble
Shorten the installation process
Fix some bugs

v0.3.0

Add hyperparameter optimization (hpo) with more than 10 hyperparameter tuning using ytopt
Add hyperparameter optimization (hpo) with more than 10 hyperparameter tuning using ytopt-libe
Fix and revise some documents

v0.2.0

merge ytopt-libensemble into ytopt package as ytopt-libe which replaces ray with libensemble to evaluate several configurations in parallel.

add more examples with the latest features in the directory ytopt-libe such as timeout for each evaluation, the support of more than 10 tunable parameters, parallel evaluations

fix several minor bugs

v0.1.0

Bump ytopt from 0.0.5 to 0.1.0

Support more than 10 tunable parameters (for 10 or less, use as usual #Px; for more than, use #Pxy (with a blank space) in the code mold.)

Use the latest Configspace 0.7.1 (0.7.2 has some problem with cython)

Cleanup the readme to point out the new features in ytopt-libe

Release v0.0.5

Add the support for nan values

Add the default configuration as the starting one

Update the package scikit-optimize to support the changes above

Update the plopper function as the common one for the examples

Update the documents

v0.0.4

Merge pull request #26 from Kerilk/main

New release for spack.