benchm-ml

r python machine-learning deep-learning

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.).

How to download and setup benchm-ml

Open terminal and run command

git clone https://github.com/szilard/benchm-ml.git

git clone is used to create a copy or clone of benchm-ml repositories. You pass git clone a repository URL.
it supports a few different network protocols and corresponding URL formats.

Also you may download zip file with benchm-ml https://github.com/szilard/benchm-ml/archive/master.zip

Or simply clone benchm-ml with SSH

[email protected]:szilard/benchm-ml.git

If you have some problems with benchm-ml

You may open issue on benchm-ml support forum (system) here: https://github.com/szilard/benchm-ml/issues

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