h2o: R Interface for the 'H2O' Scalable Machine Learning Platform

Canonical link: https://rscholar.com/pkg/h2o

Tomas Fryda • Erin LeDell • Navdeep Gill • Spencer Aiello • Anqi Fu • Arno Candel • Cliff Click • Tom Kraljevic • Tomas Nykodym • Patrick Aboyoun • Michal Kurka • Michal Malohlava • Sebastien Poirier • Wendy Wong • Ludi Rehak • Eric Eckstrand • Brandon Hill • Sebastian Vidrio • Surekha Jadhawani • Amy Wang • Raymond Peck • Jan Gorecki • Matt Dowle • Yuan Tang • Lauren DiPerna • Veronika Maurerova • Yuliia Syzon • Adam Valenta • Marek Novotny • H2O.ai • View description and downloads View dependencies GitHub project

2014 Published

3.44.0.3 Version

0 Citations

30 Authors

Referenced by ⇅	Year
modelplotr: Plots to Evaluate the Business Performance of Predictive Models (Version 1.1.0)	2019
modeltime.h2o: Modeltime "H2O" Machine Learning (Version 0.1.1)	2021
DALEXtra: Extension for 'DALEX' Package (Version 2.3.0)	2019
NeuralSens: Sensitivity Analysis of Neural Networks (Version 1.1.3)	2019
agua: 'tidymodels' Integration with 'h2o' (Version 0.1.4)	2022
autoEnsemble: Automated Stacked Ensemble Classifier for Severe Class Imbalance (Version 0.2)	2023
bundle: Serialize Model Objects with a Consistent Interface (Version 0.1.2)	2022
effectplots: Effect Plots (Version 0.2.0)	2024
flowml: A Backend for a 'nextflow' Pipeline that Performs Machine-Learning-Based Modeling of Biomedical Data (Version 0.1.3)	2023
h2otools: Machine Learning Model Evaluation for 'h2o' Package (Version 0.3)	2022
healthyR.ai: The Machine Learning and AI Modeling Companion to 'healthyR' (Version 0.1.0)	2021
iForecast: Machine Learning Time Series Forecasting (Version 1.0.9)	2020
iml: Interpretable Machine Learning (Version 0.11.3)	2018
lares: Analytics & Machine Learning Sidekick (Version 5.2.10)	2021
lareshiny: Lares 'shiny' Modules (Version 0.0.3)	2023
lazytrade: Learn Computer and Data Science using Algorithmic Trading (Version 0.5.4)	2019
lilikoi: Metabolomics Personalized Pathway Analysis Tool (Version 2.1.1)	2018
lime: Local Interpretable Model-Agnostic Explanations (Version 0.5.3)	2017
localICE: Local Individual Conditional Expectation (Version 0.1.1)	2019
mlim: Single and Multiple Imputation with Automated Machine Learning (Version 0.3.0)	2022
mlflow: Interface to 'MLflow' (Version 2.19.0)	2018
mlr: Machine Learning in R (Version 2.19.2)	2013
pheble: Classifying High-Dimensional Phenotypes with Ensemble Learning (Version 0.1.0)	2023
rsparkling: R Interface for H2O Sparkling Water (Version 0.2.19)	2017
shapley: Weighted Mean SHAP for Feature Selection in ML Grid and Ensemble (Version 0.4)	2023
shapviz: SHAP Visualizations (Version 0.9.6)	2022
shinyML: Compare Supervised Machine Learning Models Using Shiny App (Version 1.0.1)	2019
stacks: Tidy Model Stacking (Version 1.0.5)	2020
texreg: Conversion of R Regression Output to LaTeX or HTML Tables (Version 1.39.4)	2012
vip: Variable Importance Plots (Version 0.4.1)	2018

RPKG Scholar presents a tabulation of an author's contribution in the development of R packages stored in the Comprehensive R Archive Network (CRAN). Within this site, we consider package dependencies (suggests,imports,depends,enhances) as citations because we believe that using one's package to develop another is tantamount to citing the author of the package being imported, suggested or enhanced.