Qulacs-Osaka / scikit-qulacs

scikit-qulacs is a library for quantum neural network. This library is based on qulacs and named after scikit-learn.
https://qulacs-osaka.github.io/scikit-qulacs/index.html
MIT License
19 stars 6 forks source link

#246 benchmarkの学習回数が一致していない #247

Closed forest1040 closed 1 year ago

forest1040 commented 1 year ago

irisのデータが100件で、trainデータに75件取っているので、学習データは50件にあわせます。 penylaneは、n_epoch = 20で、それぞれbatch_size = 5でデータを取っているので20x5で100データだったので、n_epoch = 10 にしました。 https://github.com/Qulacs-Osaka/scikit-qulacs/blob/main/benchmarks/binary_classification_pennylane.py#L149 scikit-qulacs

codecov[bot] commented 1 year ago

Codecov Report

Merging #247 (9c309bf) into main (c266313) will increase coverage by 0.04%. The diff coverage is n/a.

@@            Coverage Diff             @@
##             main     #247      +/-   ##
==========================================
+ Coverage   91.85%   91.90%   +0.04%     
==========================================
  Files          12       12              
  Lines         884      889       +5     
  Branches      171      169       -2     
==========================================
+ Hits          812      817       +5     
  Misses         41       41              
  Partials       31       31              
Impacted Files Coverage Δ
skqulacs/save.py 100.00% <0.00%> (ø)

:mega: We’re building smart automated test selection to slash your CI/CD build times. Learn more