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h2o (version 3.44.0.3)

R Interface for the 'H2O' Scalable Machine Learning Platform

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).

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install.packages('h2o')

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3.44.0.3

License

Apache License (== 2.0)

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Last Published

January 11th, 2024

Functions in h2o (3.44.0.3)

H2OAutoML-class

The H2OAutoML class
H2OCoxPHModel-class

The H2OCoxPHModel object.
Ops.H2OFrame

S3 Group Generic Functions for H2O
H2OConnection-class

The H2OConnection class.
H2OCoxPHModelSummary-class

The H2OCoxPHModelSummary object.
H2OConnectionMutableState

The H2OConnectionMutableState class
H2OClusteringModel-class

The H2OClusteringModel object.
H2OGrid-class

H2O Grid
H2OSplitNode-class

The H2OSplitNode class.
H2OSegmentModelsFuture-class

H2O Future Segment Models
H2OLeafNode-class

The H2OLeafNode class.
H2OFrame-Extract

Extract or Replace Parts of an H2OFrame Object
H2OFrame-class

The H2OFrame class
H2OInfogram-class

H2OInfogram class
H2OInfogram

wrapper function for instantiating H2OInfogram
aaa

Starting H2O For examples
H2ONode-class

The H2ONode class.
ModelAccessors

Accessor Methods for H2OModel Object
Logical-or

Logical or for H2OFrames
&&

Logical and for H2OFrames
H2OModel-class

The H2OModel object.
case_insensitive_match_arg

Works like match.arg but ignores case
H2OModelFuture-class

H2O Future Model
colnames

Returns the column names of an H2OFrame
.addParm

TODO: No objects in this file are being used. Either remove file or use objects.
.get_first_of_family

Get first of family models
H2OSegmentModels-class

H2O Segment Models
H2OTree-class

The H2OTree class.
.check_for_ggplot2

Stop with a user friendly message if a user is missing the ggplot2 package or has an old version of it.
apply

Apply on H2O Datasets
as.data.frame.H2OSegmentModels

Converts a collection of Segment Models to a data.frame
.h2o.__DKV

Removal Endpoints
.h2o.primitives

Map of operations known to H2O
.h2o.__CREATE_FRAME

H2OFrame Manipulation
.h2o.__DECRYPTION_SETUP

Decryption Endpoints
.has_model_coefficients

Has the model coefficients?
.h2o.__ALL_CAPABILITIES

Capabilities endpoints
H2OModelMetrics-class

The H2OModelMetrics Object.
Keyed-class

Virtual Keyed class
dimnames.H2OFrame

Column names of an H2OFrame
as.data.frame.H2OFrame

Converts parsed H2O data into an R data frame
dim.H2OFrame

Returns the Dimensions of an H2OFrame
as.character.H2OFrame

Convert an H2OFrame to a String
.has_varimp

Has the model variable importance?
.h2o.__RAPIDS

Rapids Endpoint
.h2o.__W2V_SYNONYMS

Word2Vec Endpoints
.h2o.__IMPORT

Import/Export Endpoints
.interpretable

Is the model considered to be interpretable, i.e., simple enough.
.skip_if_not_developer

H2O <-> R Communication and Utility Methods
.uniformize

Convert to quantiles when provided with numeric vector. When col is a factor vector assign uniformly value between 0 and 1 to each level.
h2o.aic

Retrieve the Akaike information criterion (AIC) value
as.matrix.H2OFrame

Convert an H2OFrame to a matrix
h2o.all

Given a set of logical vectors, are all of the values true?
as.vector.H2OFrame

Convert an H2OFrame to a vector
as.factor

Convert H2O Data to Factors
as.h2o

Create H2OFrame
.h2o.doSafeGET

Perform a safe (i.e. error-checked) HTTP GET request to an H2O cluster.
as.numeric

Convert H2O Data to Numeric
.consolidate_varimps

Consolidate variable importances
australia

Australia Coastal Data
.collapse

Helper Collapse Function
h2o.assign

Rename an H2O object.
h2o.atc

Retrieve Average Treatment Effect on the Control
h2o.ceiling

Take a single numeric argument and return a numeric vector with the smallest integers
h2o.automl

Automatic Machine Learning
get_seed.H2OModel

Get the seed from H2OModel which was used during training. If a user does not set the seed parameter before training, the seed is autogenerated. It returns seed as the string if the value is bigger than the integer. For example, an autogenerated seed is always long so that the seed in R is a string.
.h2o.__checkConnectionHealth

Check H2O Server Health
.create_leaderboard

Create a leaderboard like data frame for models
.h2o.__REST_API_VERSION

H2O Package Constants
.h2o.locate

Locate a file given the pattern <bucket>/<path/to/file> e.g. h2o:::.h2o.locate("smalldata/iris/iris22.csv") returns the absolute path to iris22.csv
.find_appropriate_column_name

Tries to match a fuzzy_col_name with a column name that exists in cols.
h2o.centers

Retrieve the Model Centers
.get_algorithm

Get the algoritm used by the model_or_model_id
.h2o.__JOBS

Administrative Endpoints
.customized_call

A helper function that makes it easier to override/add params in a function call.
.get_domain_mapping

Get a mapping between columns and their domains
h2o.HGLMMetrics

Retrieve HGLM ModelMetrics
h2o.coef_norm

Return coefficients fitted on the standardized data (requires standardize = True, which is on by default). These coefficients can be used to evaluate variable importance.
.h2o.perfect_auc

Internal function that calculates a precise AUC from given probabilities and actual responses.
.get_feature_count

Get feature count sorted by the count descending.
.is_plotting_to_rnotebook

Check if we are plotting in to r notebook.
.leaderboard_for_row

Enhance leaderboard with per-model predictions.
h2o.asfactor

Convert H2O Data to Factors
h2o.any

Given a set of logical vectors, is at least one of the values true?
h2o.coef_with_p_values

Return the coefficients table with coefficients, standardized coefficients, p-values, z-values and std-error for GLM models
.h2o.__EXPORT_FILES

Export Files Endpoint Generator
.h2o.__FRAMES

Inspect/Summary Endpoints
h2o.anyFactor

Check H2OFrame columns for factors
h2o.aecu

Retrieve the default AECU (Average Excess Cumulative Uplift = area between AUUC and random AUUC)
h2o.dct

Compute DCT of an H2OFrame
h2o.aecu_table

Retrieve the all types of AECU (average excess cumulative uplift) value in a table
.h2o.__MODEL_METRICS

Model Metrics Endpoint
h2o.biases

Return the respective bias vector
h2o.computeGram

Compute weighted gram matrix.
.h2o.__PARSE_SETUP

Parse Endpoints
h2o.centersSTD

Retrieve the Model Centers STD
.h2o.__LOGANDECHO

Log and Echo Endpoint
.h2o.__MODELS

Model Endpoint
.h2o.__MODEL_BUILDERS

Model Builder Endpoint Generator
.h2o.doPOST

Just like doRawPOST but fills in the default h2oRestApiVersion if none is provided
h2o.cbind

Combine H2O Datasets by Columns
feature_frequencies.H2OModel

Retrieve the number of occurrences of each feature for given observations Available for GBM, Random Forest and Isolation Forest models.
h2o.cross_validation_fold_assignment

Retrieve the cross-validation fold assignment
h2o.centroid_stats

Retrieve centroid statistics
.h2o.is_progress

Check if Progress Bar is Enabled
h2o.cross_validation_holdout_predictions

Retrieve the cross-validation holdout predictions
h2o.dimnames

Column names of an H2OFrame
h2o.cumprod

Return the cumulative product over a column or across a row
h2o.cumsum

Return the cumulative sum over a column or across a row
.h2o.__SEGMENT_MODELS_BUILDERS

Segment Models Builder Endpoint Generator
.h2o.doRawPOST

Perform a low-level HTTP POST operation on an H2O instance
h2o.confusionMatrix

Access H2O Confusion Matrices
h2o.dayOfWeek

Convert Milliseconds to Day of Week in H2O Datasets
.h2o.doSafePOST

Perform a safe (i.e. error-checked) HTTP POST request to an H2O cluster.
h2o.auuc_table

Retrieve the all types of AUUC in a table
h2o.cummin

Return the cumulative min over a column or across a row
h2o-package

H2O R Interface
h2o.acos

Compute the arc cosine of x
h2o.api

Perform a REST API request to a previously connected server.
h2o.ddply

Split H2O Dataset, Apply Function, and Return Results
h2o.adaBoost

Build an AdaBoost model
.is_h2o_model

Is the model an H2O model?
.is_h2o_tree_model

Is the model a Tree-based H2O Model?
h2o.cosh

Compute the hyperbolic cosine of x
h2o.disparate_analysis

Create a frame containing aggregations of intersectional fairness across the models.
.h2o.doGET

Just like doRawGET but fills in the default h2oRestApiVersion if none is provided
h2o.deepfeatures

Feature Generation via H2O Deep Learning
h2o.decryptionSetup

Setup a Decryption Tool
h2o.createFrame

Data H2OFrame Creation in H2O
generate_col_ind

CHeck to see if the column names/indices entered is valid for the dataframe given. This is an internal function
h2o.download_model

Download the model in binary format. The owner of the file saved is the user by which python session was executed.
h2o.auuc_normalized

Retrieve normalized AUUC
h2o.abs

Compute the absolute value of x
h2o.as_date

Convert between character representations and objects of Date class
.min_max

Min-max normalization.
.model_ids

Get Model Ids
h2o.ascharacter

Convert H2O Data to Characters
h2o.exp

Compute the exponential function of x
.varimp

Get variable importance in a standardized way.
h2o.fair_pd_plot

Partial dependence plot per protected group.
h2o.downloadCSV

Download H2O Data to Disk
h2o.fair_pr_plot

Plot PR curve per protected group.
.h2o.doRawGET

Perform a low-level HTTP GET operation on an H2O instance
h2o.explain

Generate Model Explanations
h2o.get_best_model_predictors

Extracts the subset of predictor names that yield the best R2 value for each predictor subset size.
h2o.cummax

Return the cumulative max over a column or across a row
h2o.aggregated_frame

Retrieve an aggregated frame from an Aggregator model
.verify_dataxy

Used to verify data, x, y and turn into the appropriate things
.pkg.env

The H2O Package Environment
h2o.columns_by_type

Obtain a list of columns that are specified by `coltype`
h2o.exportHDFS

Export a Model to HDFS
h2o.coxph

Trains a Cox Proportional Hazards Model (CoxPH) on an H2O dataset
h2o.explain_row

Generate Model Explanations for a single row
.process_models_or_automl

Do basic validation and transform object to a "standardized" list containing models, and their properties such as x, y, whether it is a (multinomial) clasification or not etc.
h2o.arrange

Sorts an H2O frame by columns
h2o.calculate_fairness_metrics

Calculate intersectional fairness metrics.
.plot_varimp

Plot variable importances with ggplot2
h2o.colnames

Return column names of an H2OFrame
h2o.getLambdaBest

Extract best lambda value found from glm model.
.shorten_model_ids

Shortens model ids if possible (iff there will be same amount of unique model_ids as before)
h2o.aggregator

Build an Aggregated Frame
h2o.anomaly

Anomaly Detection via H2O Deep Learning Model
h2o.exportFile

Export an H2O Data Frame (H2OFrame) to a File or to a collection of Files.
h2o.gains_lift_plot,H2OModelMetrics-method

Plot Gains/Lift curves
h2o.getAlphaBest

Extract best alpha value found from glm model.
h2o.getTypes

Get the types-per-column
h2o.getConnection

Retrieve an H2O Connection
h2o.getVersion

Get h2o version
h2o.floor

Take a single numeric argument and return a numeric vector with the largest integers
h2o.giniCoef

Retrieve the GINI Coefficcient
h2o.auuc

Retrieve AUUC
h2o.anovaglm

H2O ANOVAGLM is used to calculate Type III SS which is used to evaluate the contributions of individual predictors and their interactions to a model. Predictors or interactions with negligible contributions to the model will have high p-values while those with more contributions will have low p-values.
h2o.flow

Open H2O Flow
h2o.grep

Search for matches to an argument pattern
h2o.decision_tree

Build a Decision Tree model
h2o.getLambdaMin

Extract the minimum lambda value calculated during lambda search from glm model. Note that due to early stop, this minimum lambda value may not be used in the actual lambda search.
h2o.gains_lift_plot

Plot Gains/Lift curves
h2o.distance

Compute a pairwise distance measure between all rows of two numeric H2OFrames.
h2o.clusterStatus

Return the status of the cluster
h2o.getGrid

Get a grid object from H2O distributed K/V store.
h2o.get_variable_inflation_factors

Return the variable inflation factors associated with numerical predictors for GLM models.
h2o.downloadAllLogs

Download H2O Log Files to Disk
h2o.ifelse

H2O Apply Conditional Statement
h2o.extendedIsolationForest

Trains an Extended Isolation Forest model
h2o.asnumeric

Convert H2O Data to Numerics
h2o.ate

Retrieve Average Treatment Effect
h2o.att

Retrieve Average Treatment Effect on the Treated
h2o.get_regression_influence_diagnostics

Extracts a list of H2OFrames containing regression influence diagnostics for predictor subsets of various sizes or just one H2OFrame containing regression influence diagnostics for predictor subsets of one fixed size
h2o.getModel

Get an R reference to an H2O model
h2o.auc

Retrieve the AUC
h2o.ice_plot

Plot Individual Conditional Expectation (ICE) for each decile
h2o.bottomN

H2O bottomN
h2o.aucpr

Retrieve the AUCPR (Area Under Precision Recall Curve)
h2o.hour

Convert Milliseconds to Hour of Day in H2O Datasets
h2o.clearLog

Delete All H2O R Logs
h2o.clusterInfo

Print H2O cluster info
h2o.getGLMFullRegularizationPath

Extract full regularization path from a GLM model
h2o.deeplearning

Build a Deep Neural Network model using CPUs
h2o.findSynonyms

Find synonyms using a word2vec model.
h2o.average_objective

Extracts the final training average objective function of a GLM model.
h2o.importFile

Import Files into H2O
h2o.getFrame

Get an R Reference to an H2O Dataset, that will NOT be GC'd by default
h2o.betweenss

Get the between cluster sum of squares
h2o.cluster_sizes

Retrieve the cluster sizes
h2o.cut

Cut H2O Numeric Data to Factor
h2o.day

Convert Milliseconds to Day of Month in H2O Datasets
h2o.describe

H2O Description of A Dataset
h2o.filterNACols

Filter NA Columns
h2o.fair_roc_plot

Plot ROC curve per protected group.
h2o.get_segment_models

Retrieves an instance of H2OSegmentModels for a given id.
h2o.entropy

Shannon entropy
h2o.coef

Return the coefficients that can be applied to the non-standardized data.
h2o.clusterIsUp

Determine if an H2O cluster is up or not
h2o.impute

Basic Imputation of H2O Vectors
h2o.infogram

H2O Infogram
h2o.getId

Get back-end distributed key/value store id from an H2OFrame.
h2o.fair_shap_plot

SHAP summary plot for one feature with protected groups on y-axis.
h2o.cor

Correlation of columns.
h2o.gains_lift_plot,H2OModel-method

Plot Gains/Lift curves
h2o.connect

Connect to a running H2O instance.
h2o.import_sql_select

Import SQL table that is result of SELECT SQL query into H2O
h2o.getModelTree

Fetchces a single tree of a H2O model. This function is intended to be used on Gradient Boosting Machine models or Distributed Random Forest models.
h2o.dim

Returns the number of rows and columns for an H2OFrame object.
h2o.cross_validation_models

Retrieve the cross-validation models
h2o.isfactor

Check if factor
h2o.insertMissingValues

Insert Missing Values into an H2OFrame
h2o.getLambdaMax

Extract the maximum lambda value used during lambda search from glm model.
h2o.gam

Fit a General Additive Model
h2o.grid

H2O Grid Support
h2o.killMinus3

Dump the stack into the JVM's stdout.
h2o.glm

Fit a generalized linear model
h2o.isnumeric

Check if numeric
h2o.cos

Compute the cosine of x
h2o.find_row_by_threshold

Find the threshold, give the max metric. No duplicate thresholds allowed
h2o.difflag1

Conduct a lag 1 transform on a numeric H2OFrame column
h2o.get_leaderboard

Retrieve the leaderboard from the AutoML instance.
h2o.cross_validation_predictions

Retrieve the cross-validation predictions
h2o.getTimezone

Get the Time Zone on the H2O cluster Returns a string
h2o.lstrip

Strip set from left
h2o.get_ntrees_actual

Retrieve actual number of trees for tree algorithms
h2o.drop_duplicates

Drops duplicated rows.
h2o.glrm

Generalized low rank decomposition of an H2O data frame
h2o.infogram_train_subset_models

Train models over subsets selected using infogram
h2o.isotonicregression

Build an Isotonic Regression model
h2o.match

Value Matching in H2O
h2o.download_mojo

Download the model in MOJO format.
h2o.listTimezones

List all of the Time Zones Acceptable by the H2O cluster.
h2o.month

Convert Milliseconds to Months in H2O Datasets
h2o.list_jobs

Return list of jobs performed by the H2O cluster
h2o.fillna

fillNA
h2o.get_gam_knot_column_names

Extracts the gam column names corresponding to the knot locations from model output if it is enabled.
h2o.inspect_model_fairness

Produce plots and dataframes related to a single model fairness.
h2o.mktime

Compute msec since the Unix Epoch
h2o.modelSelection

H2O ModelSelection is used to build the best model with one predictor, two predictors, ... up to max_predictor_number specified in the algorithm parameters when mode=allsubsets. The best model is the one with the highest R2 value. When mode=maxr, the model returned is no longer guaranteed to have the best R2 value.
h2o.kmeans

Performs k-means clustering on an H2O dataset
h2o.init

Initialize and Connect to H2O
h2o.feature_interaction

Feature interactions and importance, leaf statistics and split value histograms in a tabular form. Available for XGBoost and GBM.
h2o.openLog

View H2O R Logs
h2o.gainsLift

Access H2O Gains/Lift Tables
h2o.get_best_r2_values

Extracts the best R2 values for all predictor subset size.
h2o.isolationForest

Trains an Isolation Forest model
h2o.mean_residual_deviance

Retrieve the Mean Residual Deviance value
h2o.parseSetup

Get a parse setup back for the staged data.
h2o.list_all_extensions

List all H2O registered extensions
h2o.loadGrid

Loads previously saved grid with all it's models from the same folder
h2o.multinomial_auc_table

Retrieve the all AUC values in a table (One to Rest, One to One, macro and weighted average) for mutlinomial classification.
h2o.list_models

Get an list of all model ids present in the cluster
h2o.make_leaderboard

Create a leaderboard from a list of models, grids and/or automls.
h2o.ls

List Keys on an H2O Cluster
h2o.prod

Return the product of all the values present in its arguments.
h2o.pareto_front

Plot Pareto front
h2o.import_mojo

Imports a MOJO under given path, creating a Generic model with it.
h2o.download_pojo

Download the Scoring POJO (Plain Old Java Object) of an H2O Model
h2o.log1p

Compute the log1p of x
h2o.group_by

Group and Apply by Column
h2o.log10

Compute the log10 of x
h2o.pd_multi_plot

Plot partial dependencies for a variable across multiple models
h2o.num_valid_substrings

Count of substrings >= 2 chars that are contained in file
h2o.median

H2O Median
h2o.multinomial_aucpr_table

Retrieve the all PR AUC values in a table (One to Rest, One to One, macro and weighted average) for mutlinomial classification.
h2o.negative_log_likelihood

Extracts the final training negative log likelihood of a GLM model.
h2o.rapids

Execute a Rapids expression.
h2o.networkTest

View Network Traffic Speed
h2o.list_api_extensions

List registered API extensions
h2o.hist

Compute A Histogram
h2o.make_metrics

Create Model Metrics from predicted and actual values in H2O
h2o.get_predictors_added_per_step

Extracts the predictor added to model at each step.
h2o.interaction

Categorical Interaction Feature Creation in H2O
h2o.gsub

String Global Substitute
h2o.proj_archetypes

Convert Archetypes to Features from H2O GLRM Model
h2o.generic

Imports a generic model into H2O. Such model can be used then used for scoring and obtaining additional information about the model. The imported model has to be supported by H2O.
h2o.logAndEcho

Log a message on the server-side logs
h2o.import_sql_table

Import SQL Table into H2O
h2o.list_core_extensions

List registered core extensions
h2o.resume

Triggers auto-recovery resume - this will look into configured recovery dir and resume and tasks that were interrupted by unexpected cluster stopping.
h2o.quantile

Quantiles of H2O Frames.
h2o.melt

Converts a frame to key-value representation while optionally skipping NA values. Inverse operation to h2o.pivot.
h2o.genericModel

Imports a model under given path, creating a Generic model with it.
h2o.merge

Merge Two H2O Data Frames
h2o.max

Returns the maxima of the input values.
h2o.load_frame

Load frame previously stored in H2O's native format.
h2o.log

Compute the logarithm of x
h2o.get_automl

Get an R object that is a subclass of H2OAutoML
h2o.removeVecs

Delete Columns from an H2OFrame
h2o.metric

H2O Model Metric Accessor Functions
h2o.partialPlot

Partial Dependence Plots
h2o.get_best_model

Get best model of a given family/algorithm for a given criterion from an AutoML object.
h2o.is_client

Check Client Mode Connection
h2o.model_correlation

Model Prediction Correlation
h2o.ncol

Return the number of columns present in x.
h2o.nchar

String length
h2o.keyof

Method on Keyed objects allowing to obtain their key.
h2o.find_threshold_by_max_metric

Find the threshold, give the max metric
h2o.model_correlation_heatmap

Model Prediction Correlation Heatmap
h2o.mean_per_class_error

Retrieve the mean per class error
h2o.startLogging

Start Writing H2O R Logs
h2o.show_progress

Enable Progress Bar
h2o.qini

Retrieve the default Qini value
h2o.shutdown

Shut Down H2O Instance
h2o.na_omit

Remove Rows With NAs
h2o.get_predictors_removed_per_step

Extracts the predictor removed to model at each step.
h2o.prcomp

Principal component analysis of an H2O data frame
h2o.import_hive_table

Import Hive Table into H2O
h2o.r2

Retrieve the R2 value
h2o.save_frame

Store frame data in H2O's native format.
h2o.log2

Compute the log2 of x
h2o.hit_ratio_table

Retrieve the Hit Ratios
h2o.gbm

Build gradient boosted classification or regression trees
h2o.h

Calculates Friedman and Popescu's H statistics, in order to test for the presence of an interaction between specified variables in h2o gbm and xgb models. H varies from 0 to 1. It will have a value of 0 if the model exhibits no interaction between specified variables and a correspondingly larger value for a stronger interaction effect between them. NaN is returned if a computation is spoiled by weak main effects and rounding errors.
h2o.rank_within_group_by

This function will add a new column rank where the ranking is produced as follows: 1. sorts the H2OFrame by columns sorted in by columns specified in group_by_cols and sort_cols in the directions specified by the ascending for the sort_cols. The sort directions for the group_by_cols are ascending only. 2. A new rank column is added to the frame which will contain a rank assignment performed next. The user can choose to assign a name to this new column. The default name is New_Rank_column. 3. For each groupby groups, a rank is assigned to the row starting from 1, 2, ... to the end of that group. 4. If sort_cols_sorted is TRUE, a final sort on the frame will be performed frame according to the sort_cols and the sort directions in ascending. If sort_cols_sorted is FALSE (by default), the frame from step 3 will be returned as is with no extra sort. This may provide a small speedup if desired.
h2o.kfold_column

Produce a k-fold column vector.
h2o.get_knot_locations

Extracts the knot locations from model output if it is enabled.
h2o.permutation_importance_plot

Plot Permutation Variable Importances.
h2o.removeAll

Remove All Objects on the H2O Cluster
h2o.mae

Retrieve the Mean Absolute Error Value
h2o.isax

iSAX
h2o.rstrip

Strip set from right
h2o.save_mojo

Save an H2O Model Object as Mojo to Disk
h2o.pivot

Pivot a frame
h2o.sum

Compute the frame's sum by-column (or by-row).
h2o.head

Return the Head or Tail of an H2O Dataset.
h2o.print

Print An H2OFrame
h2o.mean

Compute the frame's mean by-column (or by-row).
h2o.psvm

Trains a Support Vector Machine model on an H2O dataset
h2o.learning_curve_plot

Learning Curve Plot
h2o.saveGrid

Saves an existing Grid of models into a given folder.
h2o.topN

H2O topN
h2o.levels

Return the levels from the column requested column.
h2o.mojo_predict_df

H2O Prediction from R without having H2O running
h2o.rule_importance

This function returns the table with estimated coefficients and language representations (in case it is a rule) for each of the significant baselearners.
h2o.target_encode_create

Create Target Encoding Map
h2o.performance

Model Performance Metrics in H2O
h2o.shap_explain_row_plot

SHAP Local Explanation
h2o.relevel

Reorders levels of an H2O factor, similarly to standard R's relevel.
h2o.loglikelihood

Retrieve the log likelihood value
h2o.saveModel

Save an H2O Model Object to Disk
h2o.std_coef_plot

Plot Standardized Coefficient Magnitudes
h2o.naiveBayes

Compute naive Bayes probabilities on an H2O dataset.
h2o.mojo_predict_csv

H2O Prediction from R without having H2O running
h2o.kolmogorov_smirnov

Kolmogorov-Smirnov metric for binomial models
h2o.predict_json

H2O Prediction from R without having H2O running
h2o.tanh

Compute the hyperbolic tangent of x
h2o.names

Column names of an H2OFrame
h2o.setLevels

Set Levels of H2O Factor Column
h2o.predicted_vs_actual_by_variable

Calculates per-level mean of predicted value vs actual value for a given variable.
h2o.varimp,H2OFrame-method

Retrieve the variable importance.
h2o.screeplot

Scree Plot
h2o.nlevels

Get the number of factor levels for this frame.
h2o.logloss

Retrieve the Log Loss Value
h2o.ischaracter

Check if character
h2o.parseRaw

H2O Data Parsing
h2o.svd

Singular value decomposition of an H2O data frame using the power method
h2o.substring

Substring
h2o.pd_plot

Plot partial dependence for a variable
h2o.kurtosis

Kurtosis of a column
h2o.scoreHistoryGAM

Retrieve GLM Model Score History buried in GAM model
h2o.which_min

Which index contains the min value?
h2o.saveModelDetails

Save an H2O Model Details
h2o.target_encode_apply

Apply Target Encoding Map to Frame
h2o.saveMojo

Deprecated - use h2o.save_mojo instead. Save an H2O Model Object as Mojo to Disk
h2o.sin

Compute the sine of x
h2o.no_progress

Disable Progress Bar
h2o.signif

Round doubles/floats to the given number of significant digits.
h2o.permutation_importance

Calculate Permutation Feature Importance.
h2o.min

Returns the minima of the input values.
h2o.makeGLMModel

Set betas of an existing H2O GLM Model
h2o.nacnt

Count of NAs per column
h2o.weights

Retrieve the respective weight matrix
h2o.loadModel

Load H2O Model from HDFS or Local Disk
h2o.nrow

Return the number of rows present in x.
predict.H2OAutoML

Predict on an AutoML object
summary,H2OAutoML-method

Format AutoML object in user-friendly way
h2o.resumeGrid

Resume previously stopped grid training.
h2o.null_dof

Retrieve the null degrees of freedom
h2o.mse

Retrieves Mean Squared Error Value
h2o.tolower

Convert strings to lowercase
h2o.null_deviance

Retrieve the null deviance
h2o.topBottomN

H2O topBottomN
h2o.transform_frame

Use GRLM to transform a frame.
h2o.transform_word2vec

Transform words (or sequences of words) to vectors using a word2vec model.
h2o.num_iterations

Retrieve the number of iterations.
h2o.sub

String Substitute
housevotes

United States Congressional Voting Records 1984
h2o.residual_dof

Retrieve the residual degrees of freedom
h2o.table

Cross Tabulation and Table Creation in H2O
h2o.varimp,H2OModel-method

Retrieve the variable importance.
h2o.rm

Delete Objects In H2O
h2o.rep_len

Replicate Elements of Vectors or Lists into H2O
h2o.unique

H2O Unique
print.H2OFrame

Print An H2OFrame
h2o.var

Variance of a column or covariance of columns.
h2o.targetencoder

Transformation of a categorical variable with a mean value of the target variable
h2o.totss

Get the total sum of squares.
h2o.week

Convert Milliseconds to Week of Week Year in H2O Datasets
h2o.toupper

Convert strings to uppercase
plot.H2OModel

Plot an H2O Model
h2o.predict

Predict on an H2O Model
h2o.sdev

Retrieve the standard deviations of principal components
h2o.relevel_by_frequency

Reorders levels of factor columns by the frequencies for the individual levels.
initialize,H2OInfogram-method

Method on H2OInfogram object which in this case is to instantiate and initialize it
h2o.rmse

Retrieves Root Mean Squared Error Value
h2o.range

Returns a vector containing the minimum and maximum of all the given arguments.
h2o.save_to_hive

Save contents of this data frame into a Hive table
summary,H2OCoxPHModel-method

Summary method for H2OCoxPHModel objects
h2o.skewness

Skewness of a column
h2o.scale

Scaling and Centering of an H2OFrame
show,H2OParetoFront-method

Show H2OParetoFront
h2o.shap_summary_plot

SHAP Summary Plot
h2o.which

Which indices are TRUE?
h2o.result

Retrieve the results to view the best predictor subsets.
plot,H2OParetoFront-method

Plot Pareto front
h2o.xgboost

Build an eXtreme Gradient Boosting model
h2o.randomForest

Build a Random Forest model
h2o.tabulate

Tabulation between Two Columns of an H2OFrame
h2o.trim

Trim Space
h2o.varimp,H2OAutoML-method

Retrieve the variable importance.
h2o.residual_analysis_plot

Residual Analysis
h2o.stringdist

Compute element-wise string distances between two H2OFrames
h2o.splitFrame

Split an H2O Data Set
h2o.year

Convert Milliseconds to Years in H2O Datasets
h2o.withinss

Get the Within SS
h2o.varimp_plot

Plot Variable Importances
h2o.xgboost.available

Determines whether an XGBoost model can be built
print.H2OTable

Print method for H2OTable objects
predict_leaf_node_assignment.H2OModel

Predict the Leaf Node Assignment on an H2O Model
iris

Edgar Anderson's Iris Data
h2o.thresholds_and_metric_scores

Retrieve the thresholds and metric scores table
h2o.reset_threshold

Reset model threshold and return old threshold value.
h2o.tf_idf

Computes TF-IDF values for each word in given documents.
h2o.strsplit

String Split
h2o.set_s3_credentials

Creates a new Amazon S3 client internally with specified credentials.
h2o.rbind

Combine H2O Datasets by Rows
h2o.rulefit

Build a RuleFit Model
h2o.train_segments

H2O Segmented-Data Bulk Model Training
h2o.tan

Compute the tangent of x
plot.H2OInfogram

Plot an H2O Infogram
h2o.predict_rules

Evaluates validity of the given rules on the given data. Returns a frame with a column per each input rule id, representing a flag whether given rule is applied to the observation or not.
summary,H2OGrid-method

Format grid object in user-friendly way
h2o.reconstruct

Reconstruct Training Data via H2O GLRM Model
staged_predict_proba.H2OModel

Predict class probabilities at each stage of an H2O Model
h2o.residual_deviance

Retrieve the residual deviance
h2o.varimp_heatmap

Variable Importance Heatmap across multiple models
h2o.runif

Produce a Vector of Random Uniform Numbers
h2o.round

Round doubles/floats to the given number of decimal places.
h2o.sd

Standard Deviation of a column of data.
range.H2OFrame

Range of an H2O Column
zzz

Shutdown H2O cluster after examples run
predict_contributions.H2OModel

Predict feature contributions - SHAP values on an H2O Model (only DRF, GBM, XGBoost models and equivalent imported MOJOs).
h2o.transform,H2OWordEmbeddingModel-method

Transform words (or sequences of words) to vectors using a word2vec model.
h2o.setTimezone

Set the Time Zone on the H2O cluster
h2o.rmsle

Retrieve the Root Mean Squared Log Error
h2o.scoreHistory

Retrieve Model Score History
prostate

Prostate Cancer Study
h2o.tot_withinss

Get the total within cluster sum of squares.
h2o.upload_mojo

Imports a MOJO from a local filesystem, creating a Generic model with it.
h2o.transform

Use H2O Transformation model and apply the underlying transformation
h2o.transform,H2OTargetEncoderModel-method

Applies target encoding to a given dataset
predict.H2OModel

Predict on an H2O Model
h2o.upload_model

Upload a binary model from the provided local path to the H2O cluster. (H2O model can be saved in a binary form either by saveModel() or by download_model() function.)
h2o.summary

Summarizes the columns of an H2OFrame.
h2o.which_max

Which indice contains the max value?
h2o.word2vec

Trains a word2vec model on a String column of an H2O data frame
h2o.upliftRandomForest

Build a Uplift Random Forest model
names.H2OFrame

Column names of an H2OFrame
h2o.sqrt

Compute the square root of x
h2o.trunc

Truncate values in x toward 0
str.H2OFrame

Display the structure of an H2OFrame object
use.package

Use optional package
h2o.stackedEnsemble

Builds a Stacked Ensemble
is.factor

Check if factor
h2o.varsplits

Retrieve per-variable split information for a given Isolation Forest model. Output will include: - count - The number of times a variable was used to make a split. - aggregated_split_ratios - The split ratio is defined as "abs(#left_observations - #right_observations) / #before_split". Even splits (#left_observations approx the same as #right_observations) contribute less to the total aggregated split ratio value for the given feature; highly imbalanced splits (eg. #left_observations >> #right_observations) contribute more. - aggregated_split_depths - The sum of all depths of a variable used to make a split. (If a variable is used on level N of a tree, then it contributes with N to the total aggregate.)
is.character

Check if character
h2o.toFrame

Convert a word2vec model into an H2OFrame
h2o.tokenize

Tokenize String
h2o.stopLogging

Stop Writing H2O R Logs
summary,H2OModel-method

Print the Model Summary
is.h2o

Is H2O Frame object
h2o.varimp

Retrieve the variable importance.
h2o.str

Display the structure of an H2OFrame object
plot.H2OTabulate

Plot an H2O Tabulate Heatmap
row_to_tree_assignment.H2OModel

Output row to tree assignment for the model and provided training data.
show,H2OAutoML-method

Format AutoML object in user-friendly way
is.numeric

Check if numeric
length,H2OTree-method

Overrides the behavior of length() function on H2OTree class. Returns number of nodes in an H2OTree
walking

Muscular Actuations for Walking Subject
model_cache-class

Needed to be able to memoise the models
scale

Scaling and Centering of an H2OFrame