Package: tisthemachinelearner 0.10.0
tisthemachinelearner: Lightweight interface to sklearn, nnetsauce and unifiedbooster with conformal prediction
Lightweight interface to Python packages sklearn, nnetsauce and unifiedbooster with conformal prediction.
Authors:
tisthemachinelearner_0.10.0.tar.gz
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tisthemachinelearner_0.10.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
tisthemachinelearner/json (API)
| # Install 'tisthemachinelearner' in R: |
| install.packages('tisthemachinelearner', repos = c('https://techtonique.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/techtonique/tisthemachinelearner_r/issues
machine-learningmachinelearningcpp
Last updated from:752e51b8d5. Checks:11 WARNING, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | WARNING | 134 | ||
| linux-devel-x86_64 | WARNING | 135 | ||
| source / vignettes | OK | 193 | ||
| linux-release-arm64 | WARNING | 129 | ||
| linux-release-x86_64 | WARNING | 132 | ||
| macos-release-arm64 | WARNING | 111 | ||
| macos-release-x86_64 | WARNING | 334 | ||
| macos-oldrel-arm64 | WARNING | 97 | ||
| macos-oldrel-x86_64 | WARNING | 163 | ||
| windows-devel | WARNING | 105 | ||
| windows-release | WARNING | 102 | ||
| windows-oldrel | WARNING | 113 | ||
| wasm-release | OK | 102 |
Exports:boosterBoosterboosterCppget_model_listget_sklearnget_sklearn_baseget_sklearn_utilspredict.boosterpredict.regressorpredictBoosterCppregressorRegressorsetup_sklearnsimulate.regressor
Dependencies:herejsonlitelatticeMatrixpngR6rappdirsRcppRcppProgressRcppTOMLreticulaterlangrprojrootwithr
Last update: 2026-04-23
Started: 2025-04-20
Last update: 2026-04-23
Started: 2025-03-01
Last update: 2026-04-23
Started: 2025-03-01
Last update: 2026-04-23
Started: 2025-03-01
Last update: 2026-04-23
Started: 2025-03-01
Last update: 2026-04-23
Started: 2025-03-01
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| R6 Class for Gradient Boosting | Booster |
| Fit a boosting model with neural network feature transformation | boosterCpp |
| Get a list of all models in scikit-learn | get_model_list |
| Predict using a boosted model | predict.booster |
| Predict method for regressor objects | predict.regressor |
| Predict using a boosted model | predictBoosterCpp |
| R6 Class for Scikit-learn Regressors | Regressor |
| Setup Python environment using uv | setup_sklearn |
| Simulate method for regressor objects | simulate.regressor |
