Package: mltools 0.3.6
Ben Gorman
mltools: Machine Learning Tools
A collection of machine learning helper functions, particularly assisting in the Exploratory Data Analysis phase. Makes heavy use of the 'data.table' package for optimal speed and memory efficiency. Highlights include a versatile bin_data() function, sparsify() for converting a data.table to sparse matrix format with one-hot encoding, fast evaluation metrics, and empirical_cdf() for calculating empirical Multivariate Cumulative Distribution Functions.
Authors:
mltools_0.3.6.tar.gz
mltools_0.3.6.zip(r-4.5)mltools_0.3.6.zip(r-4.4)mltools_0.3.6.zip(r-4.3)
mltools_0.3.6.tgz(r-4.4-any)mltools_0.3.6.tgz(r-4.3-any)
mltools_0.3.6.tar.gz(r-4.5-noble)mltools_0.3.6.tar.gz(r-4.4-noble)
mltools_0.3.6.tgz(r-4.4-emscripten)mltools_0.3.6.tgz(r-4.3-emscripten)
mltools.pdf |mltools.html✨
mltools/json (API)
NEWS
| # Install 'mltools' in R: |
| install.packages('mltools', repos = c('https://ben519.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/ben519/mltools/issues
- alientest - Alien test dataset
- alientrain - Alien training dataset
exploratory-data-analysismachine-learning
Last updated 3 years agofrom:22d9c397aa. Checks:OK: 3 NOTE: 4. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 25 2024 |
| R-4.5-win | NOTE | Oct 25 2024 |
| R-4.5-linux | NOTE | Oct 25 2024 |
| R-4.4-win | NOTE | Oct 25 2024 |
| R-4.4-mac | NOTE | Oct 25 2024 |
| R-4.3-win | OK | Oct 25 2024 |
| R-4.3-mac | OK | Oct 25 2024 |
Exports:auc_rocbin_datadate_factorempirical_cdfexplore_datasetexponential_weightfoldsgeometric_weightgini_impuritiesgini_impuritymccmsemsleone_hotrelative_positionreplace_narmsermsleroc_scoresset_factorskewnesssparsify
Dependencies:data.tablelatticeMatrix
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Alien test dataset | alientest |
| Alien training dataset | alientrain |
| Area Under the ROC Curve | auc_roc |
| Map a vector of numeric values into bins | bin_data |
| Date Factor | date_factor |
| Empirical Cumulative Distribution Function | empirical_cdf |
| Explore Dataset | explore_dataset |
| Exponential Weight | exponential_weight |
| Cross Validation Folds | folds |
| Geometric Weight | geometric_weight |
| Gini Impurities | gini_impurities |
| Gini Impurity | gini_impurity |
| Matthews correlation coefficient | mcc |
| Mean Square Error | mse |
| Mean Square Logarithmic Error | msle |
| One Hot Encode | one_hot |
| Relative Position | relative_position |
| Replace NA Values | replace_na |
| Root Mean Square Error | rmse |
| Root Mean Square Logarithmic Error | rmsle |
| ROC scores | roc_scores |
| Set Factor | set_factor |
| Skewness | skewness |
| Sparsify | sparsify |