How to time the algorithms?

szilard / 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 boosted trees, deep neural networks etc.).

MIT License

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How to time the algorithms? #54

Closed jakobmoeller closed 6 years ago

jakobmoeller commented 6 years ago

How do you time the training time of the different algorithms? Are there tools available that can be used for all ML software?

szilard commented 6 years ago

Just measure wall time for training only, system.time in R or %time in ipython, see code examples in the repo.