Estiamtor-Optimize is a auto hyper paramater tune library.
The library is built on top of NumPy, SciPy, Scikit-Learn and TensorFlow.
python install -r requirements.txt
python setup.py install
python benchmarks/benchmark_classify.py
python benchmarks/tf_classify.py
baseline:0.953704
Blackbox Function | Minimum | Best minimum | Mean f_calls to min | Std f_calls to min | Fastest f_calls to min |
---|---|---|---|---|---|
forest_minimize | 0.967 +/- 0.006 | 0.976 | 18.200 | 10.332 | 2.000 |
gbrt_minimize | 0.968 +/- 0.005 | 0.976 | 15.900 | 15.202 | 0.000 |
gp_minimize | 0.971 +/- 0.005 | 0.981 | 34.500 | 10.404 | 15.000 |
this repo uses code from scikit-optimize[http://github.com/scikit-optimize/scikit-optimize]