{"id":32204516,"url":"https://github.com/dmarcous/cran_deepboost","last_synced_at":"2025-10-22T04:58:12.869Z","repository":{"id":56937398,"uuid":"52691317","full_name":"dmarcous/CRAN_deepboost","owner":"dmarcous","description":"Deepboost R-package for 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Deepboost modeling.\n\n[![Travis-CI Build Status](https://travis-ci.org/dmarcous/CRAN_deepboost.svg?branch=master)](https://travis-ci.org/dmarcous/CRAN_deepboost)\n[![rstudio mirror downloads](http://cranlogs.r-pkg.org/badges/grand-total/deepboost)](https://github.com/metacran/cranlogs.app)\n[![cran version](http://www.r-pkg.org/badges/version/deepboost)](https://CRAN.R-project.org/package=deepboost)\n[![codecov.io](https://codecov.io/github/dmarcous/CRAN_deepboost/coverage.svg?branch=master)](https://codecov.io/github/dmarcous/CRAN_deepboost?branch=master)\n\nProvides deepboost models training, evaluation, predicting and hyper parameter optimising using grid search and cross validation.\n\n## Details\n\nBased on Google's Deep Boosting algorithm by Cortes et al.\n\nSee [this paper](http://jmlr.org/proceedings/papers/v32/cortesb14.pdf) for details\n\nAdapted from Google's C++ deepbbost implementation :\n\n\u003chttps://github.com/google/deepboost\u003e\n\nAnother version for the package that uses the original unmodified algorith exists in :\n\n\u003chttps://github.com/dmarcous/deepboost\u003e\n\n## Installation\n\nFrom CRAN : \n\n    install.packages(\"deepboost\")\n\n## Examples\n\nChoosing parameters for a deepboost model :\n\n    best_params \u003c- deepboost.gridSearch(formula, data)\n\nTraining a deepboost model :\n\n    boost \u003c- deepboost(formula, data,\n                        num_iter = best_params[2][[1]], \n                        beta = best_params[3][[1]], \n                        lambda = best_params[4][[1]], \n                        loss_type = best_params[5][[1]]\n                        )\n\nPrint trained model evaluation statistics :                         \n\n    print(boost)\n\nClassifying using a trained deepboost model :\n\n    labels \u003c- predict(boost, newdata)\n    \nSee Help / demo directory for advanced usage.\n\n## Credits\n\nR Package written and maintained by :\n\nDaniel Marcous \u003cdmarcous@gmail.com\u003e\n\nYotam Sandbank \u003cyotamsandbank@gmail.com\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdmarcous%2Fcran_deepboost","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdmarcous%2Fcran_deepboost","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdmarcous%2Fcran_deepboost/lists"}