benchm-ml
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 bo
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Free · no card · unsubscribe anytimeA 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 bo
benchm-ml has 1.9k stars on GitHub. It has been forked 327 times. benchm-ml is written mainly in R. It has been in active development since 2015. benchm-ml is available under the MIT license. Its main topics are data-science, deep-learning, gradient-boosting-machine, h2o.
What is benchm-ml?
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 bo
Is benchm-ml open source?
benchm-ml is an open-source project. It is released under the MIT license.
Is benchm-ml free?
Yes. benchm-ml is free and open source — you can use, modify and self-host it.
What license does benchm-ml use?
benchm-ml is available under the MIT license.
What language is benchm-ml written in?
benchm-ml is written mainly in R.
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