Package: fastml 0.1.0
Selcuk Korkmaz
fastml: Fast Machine Learning Model Training and Evaluation
Streamlines the training, evaluation, and comparison of multiple machine learning models with minimal code by providing comprehensive data preprocessing and support for a wide range of algorithms with hyperparameter tuning. It offers performance metrics and visualization tools to facilitate efficient and effective machine learning workflows.
Authors:
fastml_0.1.0.tar.gz
fastml_0.1.0.tar.gz(r-4.5-noble)fastml_0.1.0.tar.gz(r-4.4-noble)
fastml_0.1.0.tgz(r-4.4-emscripten)fastml_0.1.0.tgz(r-4.3-emscripten)
fastml.pdf |fastml.html✨
fastml/json (API)
| # Install 'fastml' in R: |
| install.packages('fastml', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 15 days agofrom:1efebe2cf9. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 25 2024 |
| R-4.5-linux | OK | Nov 25 2024 |
Exports:evaluate_modelsfastmlload_modelsave_modeltrain_modelsvalidate_tuneGrid
Dependencies:caretclasscliclockcodetoolscolorspacecpp11data.tablediagramdigestdoParalleldplyre1071fansifarverforeachfuturefuture.applygenericsggplot2globalsgluegowergtablehardhatipredisobanditeratorsKernSmoothlabelinglatticelavalifecyclelistenvlubridatemagrittrMASSMatrixmgcvModelMetricsmunsellnlmennetnumDerivparallellypillarpkgconfigplyrpROCprodlimprogressrproxypurrrR6RColorBrewerRcpprecipesreshape2rlangrpartscalesshapeSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetzdbutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Evaluate Models Function | evaluate_models |
| Fast Machine Learning Function | fastml |
| Load Model Function | load_model |
| Plot Function for fastml_model | plot.fastml_model |
| Predict Function for fastml_model | predict.fastml_model |
| Save Model Function | save_model |
| Summary Function for fastml_model | summary.fastml_model |
| Train Specified Machine Learning Algorithms on the Training Data | train_models |
| Validate and Complete the tuneGrid | validate_tuneGrid |