Record your test suite's HTTP interactions and replay them during future test runs for fast, deterministic, accurate tests.
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A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
- machine-learning
- data-science
- r
- python
Simple, fast, accurate single-header microbenchmarking functionality for C++11/14/17/20
- benchmark
- cpp
- microbenchmark
- single-header
Record and replay your HTTP interactions for fast, deterministic and accurate tests
- go
- golang
- testing