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h2o (version 3.40.0.1)

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

install.packages('h2o')

Monthly Downloads

9,655

Version

3.40.0.1

License

Apache License (== 2.0)

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Repository

https://github.com/h2oai/h2o-3

Maintainer

Erin LeDell

Last Published

February 24th, 2023

Functions in h2o (3.40.0.1)

H2OConnection-class

The H2OConnection class.

H2OFrame-Extract

Extract or Replace Parts of an H2OFrame Object

S3 Group Generic Functions for H2O

H2OInfogram-class

H2OInfogram class

H2OAutoML-class

The H2OAutoML class

dimnames.H2OFrame

Column names of an H2OFrame

H2OCoxPHModel-class

The H2OCoxPHModel object.

H2OSegmentModelsFuture-class

H2O Future Segment Models

H2OSplitNode-class

The H2OSplitNode class.

The H2OFrame class

Virtual Keyed class

wrapper function for instantiating H2OInfogram

Get the algoritm used by the model_or_model_id

The H2ONode class.

.find_appropriate_column_name

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

The H2OTree class.

Convert H2O Data to Factors

.h2o.__LOGANDECHO

Log and Echo Endpoint

Administrative Endpoints

.h2o.__MODEL_METRICS

Model Metrics Endpoint

.h2o.__PARSE_SETUP

Parse Endpoints

H2OSegmentModels-class

H2O Segment Models

Logical or for H2OFrames

Accessor Methods for H2OModel Object

H2OModelFuture-class

H2O Future Model

as.matrix.H2OFrame

Convert an H2OFrame to a matrix

.skip_if_not_developer

H2O <-> R Communication and Utility Methods

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

.is_plotting_to_rnotebook

Check if we are plotting in to r notebook.

Convert H2O Data to Numeric

.leaderboard_for_row

Enhance leaderboard with per-model predictions.

Inspect/Summary Endpoints

Create H2OFrame

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

.is_h2o_tree_model

Is the model a Tree-based H2O Model?

.h2o.perfect_auc

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

Is the model an H2O model?

Given a set of logical vectors, are all of the values true?

.get_domain_mapping

Get a mapping between columns and their domains

Anomaly Detection via H2O Deep Learning Model

Sorts an H2O frame by columns

Compute the absolute value of x

Australia Coastal Data

h2o.HGLMMetrics

Retrieve HGLM ModelMetrics

as.character.H2OFrame

Convert an H2OFrame to a String

Apply on H2O Datasets

Convert between character representations and objects of Date class

H2OCoxPHModelSummary-class

The H2OCoxPHModelSummary object.

Starting H2O For examples

.get_feature_count

Get feature count sorted by the count descending.

feature_frequencies.H2OModel

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

.h2o.__W2V_SYNONYMS

Word2Vec Endpoints

Return the respective bias vector

.h2o.__SEGMENT_MODELS_BUILDERS

Segment Models Builder Endpoint Generator

Get the between cluster sum of squares

h2o.average_objective

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

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

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.

Import/Export Endpoints

h2o.clusterInfo

Print H2O cluster info

Delete All H2O R Logs

H2OModelMetrics-class

The H2OModelMetrics Object.

Connect to a running H2O instance.

H2OClusteringModel-class

The H2OClusteringModel object.

.get_first_of_family

Get first of family models

Check H2OFrame columns for factors

Perform a REST API request to a previously connected server.

.h2o.primitives

Map of operations known to H2O

generate_col_ind

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

.has_model_coefficients

Has the model coefficients?

.consolidate_varimps

Consolidate variable importances

Helper Collapse Function

Return column names of an H2OFrame

as.vector.H2OFrame

Convert an H2OFrame to a vector

Retrieve the Model Centers STD

h2o.centroid_stats

Retrieve centroid statistics

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

h2o.columns_by_type

Obtain a list of columns that are specified by `coltype`

Correlation of columns.

.h2o.__CREATE_FRAME

H2OFrame Manipulation

Min-max normalization.

.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.

Logical and for H2OFrames

.h2o.doSafePOST

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

.h2o.__ALL_CAPABILITIES

Capabilities endpoints

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

Split H2O Dataset, Apply Function, and Return Results

Convert Milliseconds to Day of Week in H2O Datasets

h2o.clusterIsUp

Determine if an H2O cluster is up or not

h2o.createFrame

Data H2OFrame Creation in H2O

Compute DCT of an H2OFrame

h2o.clusterStatus

Return the status of the cluster

h2o.cluster_sizes

Retrieve the cluster sizes

h2o.decryptionSetup

Setup a Decryption Tool

Return the cumulative max over a column or across a row

.h2o.is_progress

Check if Progress Bar is Enabled

h2o.download_model

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

Return the cumulative min over a column or across a row

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

.h2o.__checkConnectionHealth

Check H2O Server Health

Column names of an H2OFrame

h2o.findSynonyms

Find synonyms using a word2vec model.

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

h2o.find_row_by_threshold

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

h2o.deepfeatures

Feature Generation via H2O Deep Learning

h2o.extendedIsolationForest

Trains an Extended Isolation Forest model

h2o.downloadCSV

Download H2O Data to Disk

h2o.downloadAllLogs

Download H2O Log Files to Disk

h2o.deeplearning

Build a Deep Neural Network model using CPUs

h2o.download_pojo

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

h2o.download_mojo

Download the model in MOJO format.

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

Returns the Dimensions of an H2OFrame

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

h2o.filterNACols

Filter NA Columns

h2o.fair_pd_plot

Partial dependence plot per protected group.

h2o.genericModel

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

h2o.getAlphaBest

Extract best alpha value found from glm model.

Convert Milliseconds to Day of Month in H2O Datasets

h2o.getLambdaBest

Extract best lambda value found from glm model.

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

Automatic Machine Learning

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.drop_duplicates

Drops duplicated rows.

h2o.find_threshold_by_max_metric

Find the threshold, give the max metric

h2o.get_ntrees_actual

Retrieve actual number of trees for tree algorithms

h2o.get_predictors_added_per_step

Extracts the predictor added to model at each step.

h2o.getLambdaMax

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

h2o.gains_lift_plot

Plot Gains/Lift curves

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.

Has the model variable importance?

Fit a General Additive Model

h2o.get_best_r2_values

Extracts the best R2 values for all predictor subset size.

Build an Aggregated Frame

h2o.getTimezone

Get the Time Zone on the H2O cluster Returns a string

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

h2o.get_predictors_removed_per_step

Extracts the predictor removed to model at each step.

Get variable importance in a standardized way.

.h2o.__DECRYPTION_SETUP

Decryption Endpoints

h2o.confusionMatrix

Access H2O Confusion Matrices

h2o.get_leaderboard

Retrieve the leaderboard from the AutoML instance.

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 Grid Support

.check_for_ggplot2

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

Group and Apply by Column

Get an R reference to an H2O model

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.

.shorten_model_ids

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

Compute the hyperbolic cosine of x

.h2o.__MODEL_BUILDERS

Model Builder Endpoint Generator

h2o.aggregated_frame

Retrieve an aggregated frame from an Aggregator model

Retrieve the Akaike information criterion (AIC) value

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.cross_validation_models

Retrieve the cross-validation models

as.data.frame.H2OFrame

Converts parsed H2O data into an R data frame

The H2OModel object.

as.data.frame.H2OSegmentModels

Converts a collection of Segment Models to a data.frame

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

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

H2OLeafNode-class

The H2OLeafNode class.

.create_leaderboard

Create a leaderboard like data frame for models

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

The H2O Package Environment

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

.customized_call

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

Plot variable importances with ggplot2

h2o.computeGram

Compute weighted gram matrix.

case_insensitive_match_arg

Works like match.arg but ignores case

Compute A Histogram

Return the Head or Tail of an H2O Dataset.

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

h2o.isotonicregression

Build an Isotonic Regression model

Returns the column names of an H2OFrame

h2o.import_sql_select

Import SQL table that is result of SELECT SQL query into H2O

h2o.get_best_model

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

Build gradient boosted classification or regression trees

h2o.get_best_model_predictors

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

Kurtosis of a column

Retrieve the GINI Coefficcient

Fit a generalized linear model

Check Client Mode Connection

Convert H2O Data to Numerics

h2o.infogram_train_subset_models

Train models over subsets selected using infogram

h2o.hit_ratio_table

Retrieve the Hit Ratios

h2o.calculate_fairness_metrics

Calculate intersectional fairness metrics.

Convert Milliseconds to Hour of Day in H2O Datasets

h2o.coef_with_p_values

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

Compute the arc cosine of x

h2o.ascharacter

Convert H2O Data to Characters

Removal Endpoints

Cut H2O Numeric Data to Factor

Method on Keyed objects allowing to obtain their key.

Rapids Endpoint

Performs k-means clustering on an H2O dataset

.h2o.__EXPORT_FILES

Export Files Endpoint Generator

h2o.listTimezones

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

h2o.auuc_normalized

Retrieve normalized AUUC

Retrieve the all types of AUUC in a table

Dump the stack into the JVM's stdout.

h2o.cross_validation_fold_assignment

Retrieve the cross-validation fold assignment

Rename an H2O object.

Compute msec since the Unix Epoch

h2o.import_mojo

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

h2o.disparate_analysis

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

h2o.cross_validation_predictions

Retrieve the cross-validation predictions

h2o.proj_archetypes

Convert Archetypes to Features from H2O GLRM Model

Load frame previously stored in H2O's native format.

Shannon entropy

Return the levels from the column requested column.

Get the number of factor levels for this frame.

h2o.kolmogorov_smirnov

Kolmogorov-Smirnov metric for binomial models

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.__REST_API_VERSION

H2O Package Constants

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

Convert Milliseconds to Months in H2O Datasets

Combine H2O Datasets by Columns

Compute the cosine of x

Load H2O Model from HDFS or Local Disk

h2o.randomForest

Build a Random Forest model

String Global Substitute

h2o.learning_curve_plot

Learning Curve Plot

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

h2o.makeGLMModel

Set betas of an existing H2O GLM Model

Returns the minima of the input values.

Compute naive Bayes probabilities on an H2O dataset.

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

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

Retrieve the AUC

H2O Model Metric Accessor Functions

Retrieve the Mean Absolute Error Value

Column names of an H2OFrame

h2o.predict_json

H2O Prediction from R without having H2O running

h2o.cross_validation_holdout_predictions

Retrieve the cross-validation holdout predictions

h2o.partialPlot

Partial Dependence Plots

h2o.feature_interaction

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

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

Generate Model Explanations

h2o.explain_row

Generate Model Explanations for a single row

Convert H2O Data to Factors

Value Matching in H2O

h2o.fair_shap_plot

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

h2o.mean_residual_deviance

Retrieve the Mean Residual Deviance value

Delete Objects In H2O

h2o.relevel_by_frequency

Reorders levels of factor columns by the frequencies for the individual levels.

h2o.scoreHistoryGAM

Retrieve GLM Model Score History buried in GAM model

Resume previously stopped grid training.

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

Get the types-per-column

h2o.set_s3_credentials

Creates a new Amazon S3 client internally with specified credentials.

Compute the exponential function of x

h2o.shap_explain_row_plot

SHAP Local Explanation

Access H2O Gains/Lift Tables

Initialize and Connect to H2O

h2o.get_variable_inflation_factors

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

Compute the log1p of x

Basic Imputation of H2O Vectors

h2o.get_segment_models

Retrieves an instance of H2OSegmentModels for a given id.

h2o.no_progress

Disable Progress Bar

H2O R Interface

Return the cumulative product over a column or across a row

Retrieves Mean Squared Error Value

h2o.shap_summary_plot

SHAP Summary Plot

h2o.num_valid_substrings

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

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

h2o.isolationForest

Trains an Isolation Forest model

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

h2o.model_correlation_heatmap

Model Prediction Correlation Heatmap

h2o.reconstruct

Reconstruct Training Data via H2O GLRM Model

h2o.insertMissingValues

Insert Missing Values into an H2OFrame

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.num_iterations

Retrieve the number of iterations.

Display the structure of an H2OFrame object

h2o.gains_lift_plot,H2OModelMetrics-method

Plot Gains/Lift curves

View H2O R Logs

h2o.import_sql_table

Import SQL Table into H2O

h2o.residual_dof

Retrieve the residual degrees of freedom

Combine H2O Datasets by Rows

Quantiles of H2O Frames.

h2o.varimp,H2OFrame-method

Retrieve the variable importance.

String Substitute

h2o.fair_roc_plot

Plot ROC curve per protected group.

Skewness of a column

Tokenize String

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.fair_pr_plot

Plot PR curve per protected group.

h2o.inspect_model_fairness

Produce plots and dataframes related to a single model fairness.

Retrieve the AUCPR (Area Under Precision Recall Curve)

Conduct a lag 1 transform on a numeric H2OFrame column

Check if numeric

h2o.make_metrics

Create Model Metrics from predicted and actual values in H2O

Remove Rows With NAs

Compute the sine of x

h2o.list_all_extensions

List all H2O registered extensions

List Keys on an H2O Cluster

h2o.model_correlation

Model Prediction Correlation

Retrieve the Log Loss Value

Log a message on the server-side logs

h2o.xgboost.available

Determines whether an XGBoost model can be built

Convert Milliseconds to Years in H2O Datasets

h2o.list_api_extensions

List registered API extensions

Convert strings to lowercase

h2o.varimp_plot

Plot Variable Importances

Plot an H2O Model

Truncate values in x toward 0

h2o.getConnection

Retrieve an H2O Connection

h2o.make_leaderboard

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

Import Files into H2O

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.)

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

Get a parse setup back for the staged data.

Compute the log2 of x

h2o.kfold_column

Produce a k-fold column vector.

h2o.import_hive_table

Import Hive Table into H2O

Return list of jobs performed by the H2O cluster

Produce a Vector of Random Uniform Numbers

Saves an existing Grid of models into a given folder.

Trains a Support Vector Machine model on an H2O dataset

Set Levels of H2O Factor Column

Strip set from left

h2o.permutation_importance_plot

Plot Permutation Variable Importances.

Plot partial dependence for a variable

Predict on an H2O Model

h2o.pd_multi_plot

Plot partial dependencies for a variable across multiple models

H2O Apply Conditional Statement

Get h2o version

H2O Description of A Dataset

h2o.getGLMFullRegularizationPath

Extract full regularization path from a GLM model

Return the cumulative sum over a column or across a row

Retrieve the Model Centers

Count of NAs per column

Plot Individual Conditional Expectation (ICE) for each decile

Convert Milliseconds to Week of Week Year in H2O Datasets

Split an H2O Data Set

Export an H2O Data Frame (H2OFrame) to a File or to a collection of Files.

Return the number of columns present in x.

h2o.save_to_hive

Save contents of this data frame into a Hive table

Retrieve the R2 value

Principal component analysis of an H2O data frame

h2o.setTimezone

Set the Time Zone on the H2O cluster

Compute element-wise string distances between two H2OFrames

Build a RuleFit Model

Retrieve the null degrees of freedom

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.varimp,H2OModel-method

Retrieve the variable importance.

h2o.show_progress

Enable Progress Bar

Compute the square root of x

predict.H2OModel

Predict on an H2O Model

predict.H2OAutoML

Predict on an AutoML object

Save an H2O Model Object as Mojo to Disk

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

Get an R object that is a subclass of H2OAutoML

h2o.gains_lift_plot,H2OModel-method

Plot Gains/Lift curves

Export a Model to HDFS

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.

plot.H2OTabulate

Plot an H2O Tabulate Heatmap

Shut Down H2O Instance

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

Convert strings to uppercase

Which indices are TRUE?

United States Congressional Voting Records 1984

h2o.train_segments

H2O Segmented-Data Bulk Model Training

Which indice contains the max value?

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

show,H2OParetoFront-method

Show H2OParetoFront

show,H2OAutoML-method

Format AutoML object in user-friendly way

h2o.upliftRandomForest

Build a Uplift Random Forest model

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

Check if factor

Search for matches to an argument pattern

h2o.std_coef_plot

Plot Standardized Coefficient Magnitudes

h2o.transform,H2OTargetEncoderModel-method

Applies target encoding to a given dataset

Compute the tangent of x

Get the Within SS

Remove All Objects on the H2O Cluster

Store frame data in H2O's native format.

h2o.tot_withinss

Get the total within cluster sum of squares.

Get the total sum of squares.

Check if character

Print An H2OFrame

h2o.targetencoder

Transformation of a categorical variable with a mean value of the target variable

Retrieve the respective weight matrix

h2o.stopLogging

Stop Writing H2O R Logs

Generalized low rank decomposition of an H2O data frame

Compute the hyperbolic tangent of x

Delete Columns from an H2OFrame

h2o.varimp_heatmap

Variable Importance Heatmap across multiple models

model_cache-class

Needed to be able to memoise the models

Is H2O Frame object

Retrieve the variable importance.

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

Prostate Cancer Study

Return the number of rows present in x.

h2o.transform,H2OWordEmbeddingModel-method

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

Column names of an H2OFrame

Edgar Anderson's Iris Data

Returns the maxima of the input values.

Muscular Actuations for Walking Subject

Shutdown H2O cluster after examples run

Print method for H2OTable objects

initialize,H2OInfogram-method

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

Range of an H2O Column

summary,H2OCoxPHModel-method

Summary method for H2OCoxPHModel objects

h2o.residual_analysis_plot

Residual Analysis

Merge Two H2O Data Frames

h2o.list_core_extensions

List registered core extensions

Compute the log10 of x

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.

Compute the logarithm of x

h2o.pareto_front

Plot Pareto front

h2o.residual_deviance

Retrieve the residual deviance

summary,H2OAutoML-method

Format AutoML object in user-friendly way

Retrieves Root Mean Squared Error Value

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

predict_leaf_node_assignment.H2OModel

Predict the Leaf Node Assignment on an H2O Model

predict_contributions.H2OModel

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

Which index contains the min value?

h2o.mojo_predict_df

H2O Prediction from R without having H2O running

h2o.mojo_predict_csv

H2O Prediction from R without having H2O running

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

h2o.upload_mojo

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

staged_predict_proba.H2OModel

Predict class probabilities at each stage of an H2O Model

Check if factor

Cross Tabulation and Table Creation in H2O

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

Display the structure of an H2OFrame object

Use optional package

h2o.interaction

Categorical Interaction Feature Creation in H2O

h2o.ischaracter

Check if character

h2o.predicted_vs_actual_by_variable

Calculates per-level mean of predicted value vs actual value for a given variable.

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

h2o.list_models

Get an list of all model ids present in the cluster

h2o.negative_log_likelihood

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

h2o.null_deviance

Retrieve the null deviance

Execute a Rapids expression.

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.networkTest

View Network Traffic Speed

h2o.mean_per_class_error

Retrieve the mean per class error

h2o.startLogging

Start Writing H2O R Logs

Print An H2OFrame

h2o.performance

Model Performance Metrics in H2O

Standard Deviation of a column of data.

h2o.target_encode_apply

Apply Target Encoding Map to Frame

H2O Data Parsing

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.

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.permutation_importance

Calculate Permutation Feature Importance.

h2o.reset_threshold

Reset model threshold and return old threshold value.

Replicate Elements of Vectors or Lists into H2O

Convert a word2vec model into an H2OFrame

Use H2O Transformation model and apply the underlying transformation

Retrieve the default Qini value

Scaling and Centering of an H2OFrame

Strip set from right

h2o.thresholds_and_metric_scores

Retrieve the thresholds and metric scores table

Scaling and Centering of an H2OFrame

Retrieve the Root Mean Squared Log Error

Save an H2O Model Object to Disk

Retrieve the standard deviations of principal components

h2o.saveModelDetails

Save an H2O Model Details

row_to_tree_assignment.H2OModel

Output row to tree assignment for the model and provided training data.

Summarizes the columns of an H2OFrame.

h2o.varimp,H2OAutoML-method

Retrieve the variable importance.

Variance of a column or covariance of columns.

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

h2o.target_encode_create

Create Target Encoding Map

plot,H2OParetoFront-method

Plot Pareto front

plot.H2OInfogram

Plot an H2O Infogram

summary,H2OModel-method

Print the Model Summary

summary,H2OGrid-method

Format grid object in user-friendly way

h2o.scoreHistory

Retrieve Model Score History

h2o.stackedEnsemble

Builds a Stacked Ensemble

length,H2OTree-method

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

h2o.transform_word2vec

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

Check if numeric

Tabulation between Two Columns of an H2OFrame

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

Build an eXtreme Gradient Boosting model

H2OConnectionMutableState

The H2OConnectionMutableState class