{ "_id": "6a497009ef9e2ed9366e6c68", "Package": "scR", "Title": "Empirical Sample Complexity Bounds", "Version": "0.7.0", "Authors@R": "c(\nperson(\"Perry\", \"Carter\", email = \"pjc504@nyu.edu\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0002-4684-6533\")),\nperson(\"Dahyun\", \"Choi\", email = \"dahyunc@princeton.edu\", role = \"aut\",\ncomment = c(ORCID = \"0000-0002-2628-1467\"))\n)", "Description": "Provides tools for estimating empirical sample complexity\nbounds for supervised learning tasks. The package supports\nsimulation-based estimates of generalization curves, parametric\nextrapolation of empirical sample complexity bounds,\ntheoretical bounds based on Vapnik-Chervonenkis dimension, and\noptional monotone Gaussian process extrapolation for users who\ninstall the external 'cmdstanr' workflow. 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