Package: h2otools 0.4

E. F. Haghish

h2otools: Machine Learning Model Evaluation for 'h2o' Package

In the process of model selection, the common practice is to select a model with the higher performance. However, the fine-tuning process might tune multiple models with negligible performance differences. This software provides a statistical procedure for comparing the performance of machine learning models using a bootstrapping technique to assess significant differences between models' performances. Additionally, it offers extra performance metrics such as the F-Measure and additional functionalities for working with the H2O AI software package. For more information about the 'h2o' package, visit https://h2o.ai/.

Authors:E. F. Haghish [aut, cre, cph]

h2otools_0.4.tar.gz
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h2otools_0.4.tgz(r-4.4-any)h2otools_0.4.tgz(r-4.3-any)
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h2otools.pdf |h2otools.html
h2otools/json (API)

# Install 'h2otools' in R:
install.packages('h2otools', repos = c('https://haghish.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/haghish/h2otools/issues

On CRAN:

3.80 score 1 stars 1 packages 14 scripts 271 downloads 9 exports 6 dependencies

Last updated 5 months agofrom:bf3ffc86b4. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 22 2024
R-4.5-winOKNov 22 2024
R-4.5-linuxOKNov 22 2024
R-4.4-winOKNov 22 2024
R-4.4-macOKNov 22 2024
R-4.3-winOKNov 22 2024
R-4.3-macOKNov 22 2024

Exports:automlModelParambootImportancebootPerformancecheckFrameFmeasuregetPerfMatrixh2o.get_idskappaperformance

Dependencies:bitopsbootcurlh2ojsonliteRCurl