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h2o

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R Interface for the 'H2O' Scalable Machine Learning Platform

View on CRAN: Click here

Download and install h2o package within the R console
Install from CRAN:

 install.packages("h2o")

Install from Github:

 library("remotes")

                        install_github("cran/h2o")

Install by package version:

 library("remotes")

                        install_version("h2o", "3.44.0.3")

Attach the package and use:

 library("h2o")

Maintained by
Tomas Fryda
[Scholar Profile | Author Map]

All associated links for this package

First Published: 2014-06-17

Latest Update: 2024-01-11

Description:

R interface for 'H2O', the scalable open source machine learning platform that offers parallelized implementations of many supervised and unsupervised machine learning algorithms such as Generalized Linear Models (GLM), Gradient Boosting Machines (including XGBoost), Random Forests, Deep Neural Networks (Deep Learning), Stacked Ensembles, Naive Bayes, Generalized Additive Models (GAM), ANOVA GLM, Cox Proportional Hazards, K-Means, PCA, ModelSelection, Word2Vec, as well as a fully automatic machine learning algorithm (H2O AutoML).

How to cite:

Tomas Fryda (2014). h2o: R Interface for the 'H2O' Scalable Machine Learning Platform. R package version 3.44.0.3, https://cran.r-project.org/web/packages/h2o. Accessed 22 Dec. 2024.

Previous versions and publish date:

2.4.3.11 (2014-06-17 23:04), 2.8.1.1 (2014-10-27 18:11), 2.8.4.4 (2015-02-08 00:30), 3.0.0.22 (2015-06-14 08:32), 3.0.0.30 (2015-07-22 05:29), 3.2.0.1 (2015-09-15 01:08), 3.2.0.3 (2015-09-23 02:25), 3.6.0.8 (2015-11-24 15:04), 3.8.1.3 (2016-03-15 06:32), 3.8.2.6 (2016-06-02 07:11), 3.8.3.3 (2016-07-13 10:19), 3.10.0.6 (2016-09-03 10:01), 3.10.0.8 (2016-10-14 08:16), 3.10.2.2 (2017-01-18 00:47), 3.10.3.3 (2017-02-03 14:33), 3.10.3.6 (2017-02-22 08:42), 3.10.4.4 (2017-04-17 20:29), 3.10.4.6 (2017-05-02 08:46), 3.10.5.2 (2017-06-23 12:32), 3.10.5.3 (2017-07-01 09:53), 3.14.0.3 (2017-09-27 10:29), 3.16.0.1 (2017-11-28 01:16), 3.16.0.2 (2017-12-02 00:16), 3.18.0.8 (2018-05-02 09:58), 3.18.0.11 (2018-05-24 23:49), 3.20.0.2 (2018-06-17 17:50), 3.20.0.8 (2018-09-25 12:30), 3.22.1.1 (2019-01-10 23:20), 3.24.0.5 (2019-06-21 10:20), 3.26.0.2 (2019-08-01 15:00), 3.28.0.2 (2020-01-22 12:20), 3.28.0.4 (2020-02-26 14:00), 3.30.0.1 (2020-04-09 10:50), 3.30.1.2 (2020-09-12 08:10), 3.30.1.3 (2020-09-30 11:10), 3.32.0.1 (2020-10-17 09:00), 3.32.1.2 (2021-05-06 12:10), 3.32.1.3 (2021-05-23 06:30), 3.34.0.3 (2021-10-09 23:50), 3.34.0.6 (2021-12-17 10:40), 3.36.0.1 (2022-01-04 01:10), 3.36.0.2 (2022-01-26 15:12), 3.36.0.3 (2022-02-17 13:02), 3.36.0.4 (2022-04-05 08:50), 3.36.1.2 (2022-05-28 02:00), 3.38.0.1 (2022-09-23 13:50), 3.40.0.1 (2023-02-24 10:22), 3.40.0.4 (2023-05-26 01:10), 3.42.0.2 (2023-08-09 07:00)

Other packages that cited h2o R package

View h2o citation profile

Other R packages that h2o depends, imports, suggests or enhances

View h2o dependency map

Complete documentation for h2o

View documentation PDF

Functions, R codes and Examples using the h2o R package

Some associated functions: H2OAutoML-class . H2OClusteringModel-class . H2OConnection-class . H2OConnectionMutableState . H2OCoxPHModel-class . H2OCoxPHModelSummary-class . H2OFrame-Extract . H2OFrame-class . H2OFrame . H2OGrid-class . H2OInfogram-class . H2OInfogram . H2OLeafNode-class . H2OModel-class . H2OModelFuture-class . H2OModelMetrics-class . H2ONode-class . H2OSegmentModels-class . H2OSegmentModelsFuture-class . H2OSplitNode-class . H2OTree-class . Keyed-class . Logical-or . ModelAccessors . aaa . and-and . apply . as.character.H2OFrame . as.data.frame.H2OFrame . as.data.frame.H2OSegmentModels . as.factor . as.h2o . as.matrix.H2OFrame . as.numeric . as.vector.H2OFrame . australia . case_insensitive_match_arg . colnames . dim.H2OFrame . dimnames.H2OFrame . dot-addParm . dot-check_for_ggplot2 . dot-collapse . dot-consolidate_varimps . dot-create_leaderboard . dot-customized_call . dot-find_appropriate_column_name . dot-get_algorithm . dot-get_domain_mapping . dot-get_feature_count . dot-get_first_of_family . dot-h2o.__ALL_CAPABILITIES . dot-h2o.__CREATE_FRAME . dot-h2o.__DECRYPTION_SETUP . dot-h2o.__DKV . dot-h2o.__EXPORT_FILES . dot-h2o.__FRAMES . dot-h2o.__IMPORT . dot-h2o.__JOBS . dot-h2o.__LOGANDECHO . dot-h2o.__MODELS . dot-h2o.__MODEL_BUILDERS . dot-h2o.__MODEL_METRICS . dot-h2o.__PARSE_SETUP . dot-h2o.__RAPIDS . dot-h2o.__REST_API_VERSION . dot-h2o.__SEGMENT_MODELS_BUILDERS . dot-h2o.__W2V_SYNONYMS . dot-h2o.__checkConnectionHealth . dot-h2o.doGET . dot-h2o.doPOST . dot-h2o.doRawGET . dot-h2o.doRawPOST . dot-h2o.doSafeGET . dot-h2o.doSafePOST . dot-h2o.is_progress . dot-h2o.locate . dot-h2o.perfect_auc . dot-h2o.primitives . dot-has_model_coefficients . dot-has_varimp . dot-interpretable . dot-is_h2o_model . dot-is_h2o_tree_model . dot-is_plotting_to_rnotebook . dot-leaderboard_for_row . dot-min_max . dot-model_ids . dot-pkg.env . dot-plot_varimp . dot-process_models_or_automl . dot-shorten_model_ids . dot-skip_if_not_developer . dot-uniformize . dot-varimp . dot-verify_dataxy . feature_frequencies.H2OModel . generate_col_ind . get_seed.H2OModel . h2o-package . h2o.HGLMMetrics . h2o.abs . h2o.acos . h2o.adaBoost . h2o.aecu . h2o.aecu_table . h2o.aggregated_frame . h2o.aggregator . h2o.aic . h2o.all . h2o.anomaly . h2o.anovaglm . h2o.any . h2o.anyFactor . h2o.api . h2o.arrange . h2o.as_date . h2o.ascharacter . h2o.asfactor . h2o.asnumeric . h2o.assign . h2o.atc . h2o.ate . h2o.att . h2o.auc . h2o.aucpr . h2o.automl . h2o.auuc . h2o.auuc_normalized . h2o.auuc_table . h2o.average_objective . h2o.betweenss . h2o.biases . h2o.bottomN . h2o.calculate_fairness_metrics . h2o.cbind . h2o.ceiling . h2o.centers . h2o.centersSTD . h2o.centroid_stats . h2o.clearLog . h2o.clusterInfo . h2o.clusterIsUp . h2o.clusterStatus . h2o.cluster_sizes . h2o.coef . h2o.coef_norm . h2o.coef_with_p_values . h2o.colnames . h2o.columns_by_type . h2o.computeGram . h2o.confusionMatrix . h2o.connect . h2o.cor . h2o.cos . h2o.cosh . h2o.coxph . h2o.createFrame . h2o.cross_validation_fold_assignment . h2o.cross_validation_holdout_predictions . h2o.cross_validation_models . h2o.cross_validation_predictions . h2o.cummax . h2o.cummin . h2o.cumprod . h2o.cumsum . h2o.cut . h2o.day . h2o.dayOfWeek . h2o.dct . h2o.ddply . h2o.decision_tree . h2o.decryptionSetup . h2o.deepfeatures . h2o.deeplearning . h2o.describe . h2o.diff . h2o.dim . h2o.dimnames . h2o.disparate_analysis . h2o.distance . h2o.downloadAllLogs . h2o.downloadCSV . h2o.download_model . h2o.download_mojo . h2o.download_pojo . h2o.drop_duplicates . h2o.entropy . h2o.exp . h2o.explain . h2o.explain_row . h2o.exportFile . h2o.exportHDFS . h2o.extendedIsolationForest . h2o.fair_pd_plot . h2o.fair_pr_plot . h2o.fair_roc_plot . h2o.fair_shap_plot . h2o.feature_interaction . h2o.fillna . h2o.filterNACols . h2o.findSynonyms . h2o.find_row_by_threshold . h2o.find_threshold_by_max_metric . h2o.floor . h2o.flow . h2o.gainsLift . h2o.gains_lift_plot-H2OModel-method . h2o.gains_lift_plot-H2OModelMetrics-method . h2o.gains_lift_plot . h2o.gam . h2o.gbm . h2o.generic . h2o.genericModel . h2o.getAlphaBest . h2o.getConnection . h2o.getFrame . h2o.getGLMFullRegularizationPath . h2o.getGrid . h2o.getId . h2o.getLambdaBest . h2o.getLambdaMax . h2o.getLambdaMin . h2o.getModel . h2o.getModelTree . h2o.getTimezone . h2o.getTypes . h2o.getVersion . h2o.get_automl . h2o.get_best_model . h2o.get_best_model_predictors . h2o.get_best_r2_values . h2o.get_gam_knot_column_names . h2o.get_knot_locations . h2o.get_leaderboard . h2o.get_ntrees_actual . h2o.get_predictors_added_per_step . h2o.get_predictors_removed_per_step . h2o.get_regression_influence_diagnostics . h2o.get_segment_models . h2o.get_variable_inflation_factors . h2o.giniCoef . h2o.glm . h2o.glrm . h2o.grep . h2o.grid . h2o.group_by . h2o.gsub . h2o.h . h2o.head . h2o.hist . h2o.hit_ratio_table . h2o.hour . h2o.ice_plot . h2o.ifelse . h2o.importFile . h2o.import_hive_table . h2o.import_mojo . h2o.import_sql_select . h2o.import_sql_table . h2o.impute . h2o.infogram . h2o.infogram_train_subset_models . h2o.init . h2o.insertMissingValues . h2o.inspect_model_fairness . h2o.interaction . h2o.is_client . h2o.isax . h2o.ischaracter . h2o.isfactor . h2o.isnumeric . h2o.isolationForest . h2o.isotonicregression . h2o.keyof . h2o.kfold_column . h2o.killMinus3 . h2o.kmeans . h2o.kolmogorov_smirnov . h2o.kurtosis . h2o.learning_curve_plot . h2o.levels . h2o.listTimezones . h2o.list_all_extensions . h2o.list_api_extensions . h2o.list_core_extensions . h2o.list_jobs . h2o.list_models . h2o.loadGrid . h2o.loadModel . h2o.load_frame . h2o.log . h2o.log10 . h2o.log1p . h2o.log2 . h2o.logAndEcho . h2o.loglikelihood . h2o.logloss . h2o.ls . h2o.lstrip . h2o.mae . h2o.makeGLMModel . h2o.make_leaderboard . h2o.make_metrics . h2o.match . h2o.max . h2o.mean . h2o.mean_per_class_error . h2o.mean_residual_deviance . h2o.median . h2o.melt . h2o.merge . h2o.metric . h2o.min . h2o.mktime . h2o.modelSelection . h2o.model_correlation . h2o.model_correlation_heatmap . h2o.mojo_predict_csv . h2o.mojo_predict_df . h2o.month . h2o.mse . h2o.multinomial_auc_table . h2o.multinomial_aucpr_table . h2o.na_omit . h2o.nacnt . h2o.naiveBayes . h2o.names . h2o.nchar . h2o.ncol . h2o.negative_log_likelihood . h2o.networkTest . h2o.nlevels . h2o.no_progress . h2o.nrow . h2o.null_deviance . h2o.null_dof . h2o.num_iterations . h2o.num_valid_substrings . h2o.openLog . h2o.pareto_front . h2o.parseRaw . h2o.parseSetup . h2o.partialPlot . h2o.pd_multi_plot . h2o.pd_plot . h2o.performance . h2o.permutation_importance . h2o.permutation_importance_plot . h2o.pivot . h2o.prcomp . h2o.predict . h2o.predict_json . h2o.predict_rules . h2o.predicted_vs_actual_by_variable . h2o.print . h2o.prod . h2o.proj_archetypes . h2o.psvm . h2o.qini . h2o.quantile . h2o.r2 . h2o.randomForest . h2o.range . h2o.rank_within_group_by . h2o.rapids . h2o.rbind . h2o.reconstruct . h2o.relevel . h2o.relevel_by_frequency . h2o.removeAll . h2o.removeVecs . h2o.rep_len . h2o.reset_threshold . h2o.residual_analysis_plot . h2o.residual_deviance . h2o.residual_dof . h2o.result . h2o.resume . h2o.resumeGrid . h2o.rm . h2o.rmse . h2o.rmsle . h2o.round . h2o.rstrip . h2o.rule_importance . h2o.rulefit . h2o.runif . h2o.saveGrid . h2o.saveModel . h2o.saveModelDetails . h2o.saveMojo . h2o.save_frame . h2o.save_mojo . h2o.save_to_hive . h2o.scale . h2o.scoreHistory . h2o.scoreHistoryGAM . h2o.screeplot . h2o.sd . h2o.sdev . h2o.setLevels . h2o.setTimezone . h2o.set_s3_credentials . h2o.shap_explain_row_plot . h2o.shap_summary_plot . h2o.show_progress . h2o.shutdown . h2o.signif . h2o.sin . h2o.skewness . h2o.splitFrame . h2o.sqrt . h2o.stackedEnsemble . h2o.startLogging . h2o.std_coef_plot . h2o.stopLogging . h2o.str . h2o.stringdist . h2o.strsplit . h2o.sub . h2o.substring . h2o.sum . h2o.summary . h2o.svd . h2o.table . h2o.tabulate . h2o.tan . h2o.tanh . h2o.target_encode_apply . h2o.target_encode_create . h2o.targetencoder . h2o.tf_idf . h2o.thresholds_and_metric_scores . h2o.toFrame . h2o.tokenize . h2o.tolower . h2o.topBottomN . h2o.topN . h2o.tot_withinss . h2o.totss . h2o.toupper . h2o.train_segments . h2o.transform-H2OTargetEncoderModel-method . h2o.transform-H2OWordEmbeddingModel-method . h2o.transform . h2o.transform_frame . h2o.transform_word2vec . h2o.trim . h2o.trunc . h2o.unique . h2o.upliftRandomForest . h2o.upload_model . h2o.upload_mojo . h2o.var . h2o.varimp-H2OAutoML-method . h2o.varimp-H2OFrame-method . h2o.varimp-H2OModel-method . h2o.varimp . h2o.varimp_heatmap . h2o.varimp_plot . h2o.varsplits . h2o.week . h2o.weights . h2o.which . h2o.which_max . h2o.which_min . h2o.withinss . h2o.word2vec . h2o.xgboost.available . h2o.xgboost . h2o.year . housevotes . initialize-H2OInfogram-method . iris . is.character . is.factor . is.h2o . is.numeric . length-H2OTree-method . model_cache-class . names.H2OFrame . plot-methods . plot.H2OInfogram . plot.H2OModel . plot.H2OTabulate . predict.H2OAutoML . predict.H2OModel . predict_contributions.H2OModel . predict_leaf_node_assignment.H2OModel . print.H2OFrame . print.H2OTable . prostate . range.H2OFrame . row_to_tree_assignment.H2OModel . scale . show-H2OAutoML-method . show-H2OParetoFront-method . staged_predict_proba.H2OModel . str.H2OFrame . summary-H2OAutoML-method . summary-H2OCoxPHModel-method . summary-H2OGrid-method . summary-H2OModel-method . use.package . walking . zzz .
Some associated R codes: adaboost.R . admissibleml.R . aggregator.R . anovaglm.R . astfun.R . automl.R . classes.R . communication.R . config.R . connection.R . constants.R . coxph.R . coxphutils.R . datasets.R . decisiontree.R . deeplearning.R . edicts.R . explain.R . export.R . extendedisolationforest.R . frame.R . gam.R . gbm.R . generic.R . glm.R . glrm.R . grid.R . import.R . infogram.R . isolationforest.R . isotonicregression.R . kmeans.R . kvstore.R . locate.R . logging.R . models.R . modelselection.R . naivebayes.R . parse.R . pca.R . permutation_varimp.R . predict.R . psvm.R . randomforest.R . rulefit.R . segment.R . stackedensemble.R . svd.R . targetencoder.R . tf-idf.R . upliftrandomforest.R . w2vutils.R . word2vec.R . xgboost.R . zzz.R . Full h2o package functions and examples

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