README.md
In robertzk/grasshopper: Answering questions coming from learning theory (convergence rate, estimation of empirical risk, etc)
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.
robertzk/grasshopper documentation built on May 27, 2019, 10:34 a.m.
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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.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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