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 0.1.1)	2022
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 1.0.8)	2020
iml: Interpretable Machine Learning (Version 0.11.3)	2018
lareshiny: Lares 'shiny' Modules (Version 0.0.3)	2023
lares: Analytics & Machine Learning Sidekick (Version 5.2.9)	2021
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 2.16.2)	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

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