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Grasshopper is an R framework for testing questions about classifiers coming from learning theory: convergence rate, estimation of empirical risk minimization potential, etc.

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Grasshopper

Editor's note: This package was README-ware and has not seen development since 2014. Please go to loopr for the latest on hyperparameter optimization. In particular, best practices in the industry now focus on Gaussian processes.

Grasshopper is an R framework for testing questions about classifiers coming from learning theory: convergence rate, estimation of empirical risk minimization potential, etc.

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Grasshopper is an R framework for testing questions about classifiers coming from learning theory: convergence rate, estimation of empirical risk minimization potential, etc.

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