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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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14,878

Version

3.44.0.3

License

Apache License (== 2.0)

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Repository

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

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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.

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.

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

The H2OFrame class

H2OInfogram-class

H2OInfogram class

wrapper function for instantiating H2OInfogram

Starting H2O For examples

The H2ONode class.

Accessor Methods for H2OModel Object

Logical or for H2OFrames

Logical and for H2OFrames

The H2OModel object.

case_insensitive_match_arg

Works like match.arg but ignores case

H2OModelFuture-class

H2O Future Model

Returns the column names of an H2OFrame

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

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 on H2O Datasets

as.data.frame.H2OSegmentModels

Converts a collection of Segment Models to a data.frame

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.

Virtual Keyed class

dimnames.H2OFrame

Column names of an H2OFrame

as.data.frame.H2OFrame

Converts parsed H2O data into an R data frame

Returns the Dimensions of an H2OFrame

as.character.H2OFrame

Convert an H2OFrame to a String

Has the model variable importance?

Rapids Endpoint

.h2o.__W2V_SYNONYMS

Word2Vec Endpoints

Import/Export Endpoints

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

.skip_if_not_developer

H2O <-> R Communication and Utility Methods

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

Retrieve the Akaike information criterion (AIC) value

as.matrix.H2OFrame

Convert an H2OFrame to a matrix

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

as.vector.H2OFrame

Convert an H2OFrame to a vector

Convert H2O Data to Factors

Create H2OFrame

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

Convert H2O Data to Numeric

.consolidate_varimps

Consolidate variable importances

Australia Coastal Data

Helper Collapse Function

Rename an H2O object.

Retrieve Average Treatment Effect on the Control

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

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

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.

Retrieve the Model Centers

Get the algoritm used by the model_or_model_id

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

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.

Convert H2O Data to Factors

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

Inspect/Summary Endpoints

Check H2OFrame columns for factors

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

Compute DCT of an H2OFrame

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

.h2o.__MODEL_METRICS

Model Metrics Endpoint

Return the respective bias vector

h2o.computeGram

Compute weighted gram matrix.

.h2o.__PARSE_SETUP

Parse Endpoints

Retrieve the Model Centers STD

.h2o.__LOGANDECHO

Log and Echo Endpoint

.h2o.__MODEL_BUILDERS

Model Builder Endpoint Generator

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

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

Column names of an H2OFrame

Return the cumulative product over a column or across a row

Return the cumulative sum over a column or across a row

.h2o.__SEGMENT_MODELS_BUILDERS

Segment Models Builder Endpoint Generator

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

h2o.confusionMatrix

Access H2O Confusion Matrices

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.

Retrieve the all types of AUUC in a table

Return the cumulative min over a column or across a row

H2O R Interface

Compute the arc cosine of x

Perform a REST API request to a previously connected server.

Split H2O Dataset, Apply Function, and Return Results

Build an AdaBoost model

Is the model an H2O model?

.is_h2o_tree_model

Is the model a Tree-based H2O Model?

Compute the hyperbolic cosine of x

h2o.disparate_analysis

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

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

Compute the absolute value of x

Convert between character representations and objects of Date class

Min-max normalization.

h2o.ascharacter

Convert H2O Data to Characters

Compute the exponential function of x

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.

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

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.

Return the cumulative max over a column or across a row

h2o.aggregated_frame

Retrieve an aggregated frame from an Aggregator model

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

The H2O Package Environment

h2o.columns_by_type

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

Export a Model to HDFS

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.

Sorts an H2O frame by columns

h2o.calculate_fairness_metrics

Calculate intersectional fairness metrics.

Plot variable importances with ggplot2

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)

Build an Aggregated Frame

Anomaly Detection via H2O Deep Learning Model

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.

Get the types-per-column

h2o.getConnection

Retrieve an H2O Connection

Get h2o version

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

Retrieve the GINI Coefficcient

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.

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

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

h2o.clusterStatus

Return the status of the cluster

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 Apply Conditional Statement

h2o.extendedIsolationForest

Trains an Extended Isolation Forest model

Convert H2O Data to Numerics

Retrieve Average Treatment Effect

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

Get an R reference to an H2O model

Retrieve the AUC

Plot Individual Conditional Expectation (ICE) for each decile

Retrieve the AUCPR (Area Under Precision Recall Curve)

Convert Milliseconds to Hour of Day in H2O Datasets

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.

Import Files into H2O

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

Get the between cluster sum of squares

h2o.cluster_sizes

Retrieve the cluster sizes

Cut H2O Numeric Data to Factor

Convert Milliseconds to Day of Month in H2O Datasets

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.

Shannon entropy

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

h2o.clusterIsUp

Determine if an H2O cluster is up or not

Basic Imputation of H2O Vectors

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.

Correlation of columns.

h2o.gains_lift_plot,H2OModel-method

Plot Gains/Lift curves

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.

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

h2o.cross_validation_models

Retrieve the cross-validation models

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.

Fit a General Additive Model

H2O Grid Support

Dump the stack into the JVM's stdout.

Fit a generalized linear model

Check if numeric

Compute the cosine of x

h2o.find_row_by_threshold

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

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

Strip set from left

h2o.get_ntrees_actual

Retrieve actual number of trees for tree algorithms

h2o.drop_duplicates

Drops duplicated rows.

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

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.

Convert Milliseconds to Months in H2O Datasets

Return list of jobs performed by the H2O cluster

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.

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.

Performs k-means clustering on an H2O dataset

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.

View H2O R Logs

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

Get a parse setup back for the staged data.

h2o.list_all_extensions

List all H2O registered extensions

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.

List Keys on an H2O Cluster

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

Compute the log1p of x

Group and Apply by Column

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.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.

Execute a Rapids expression.

h2o.networkTest

View Network Traffic Speed

h2o.list_api_extensions

List registered API extensions

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

String Global Substitute

h2o.proj_archetypes

Convert Archetypes to Features from H2O GLRM Model

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.

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

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

Quantiles of H2O Frames.

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.

Merge Two H2O Data Frames

Returns the maxima of the input values.

Load frame previously stored in H2O's native format.

Compute the logarithm of x

Get an R object that is a subclass of H2OAutoML

Delete Columns from an H2OFrame

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.

Check Client Mode Connection

h2o.model_correlation

Model Prediction Correlation

Return the number of columns present in x.

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

Retrieve the default Qini value

Shut Down H2O Instance

Remove Rows With NAs

h2o.get_predictors_removed_per_step

Extracts the predictor removed to model at each step.

Principal component analysis of an H2O data frame

h2o.import_hive_table

Import Hive Table into H2O

Retrieve the R2 value

Store frame data in H2O's native format.

Compute the log2 of x

h2o.hit_ratio_table

Retrieve the Hit Ratios

Build gradient boosted classification or regression trees

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.

Remove All Objects on the H2O Cluster

Retrieve the Mean Absolute Error Value

Strip set from right

Save an H2O Model Object as Mojo to Disk

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

Return the Head or Tail of an H2O Dataset.

Print An H2OFrame

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

Trains a Support Vector Machine model on an H2O dataset

h2o.learning_curve_plot

Learning Curve Plot

Saves an existing Grid of models into a given folder.

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

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

h2o.loglikelihood

Retrieve the log likelihood value

Save an H2O Model Object to Disk

h2o.std_coef_plot

Plot Standardized Coefficient Magnitudes

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

Compute the hyperbolic tangent of x

Column names of an H2OFrame

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.

Get the number of factor levels for this frame.

Retrieve the Log Loss Value

h2o.ischaracter

Check if character

H2O Data Parsing

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

Plot partial dependence for a variable

Kurtosis of a column

h2o.scoreHistoryGAM

Retrieve GLM Model Score History buried in GAM model

Which index contains the min value?

h2o.saveModelDetails

Save an H2O Model Details

h2o.target_encode_apply

Apply Target Encoding Map to Frame

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

Compute the sine of x

h2o.no_progress

Disable Progress Bar

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

h2o.permutation_importance

Calculate Permutation Feature Importance.

Returns the minima of the input values.

h2o.makeGLMModel

Set betas of an existing H2O GLM Model

Count of NAs per column

Retrieve the respective weight matrix

Load H2O Model from HDFS or Local Disk

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

Resume previously stopped grid training.

Retrieve the null degrees of freedom

Retrieves Mean Squared Error Value

Convert strings to lowercase

h2o.null_deviance

Retrieve the null deviance

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.

String Substitute

United States Congressional Voting Records 1984

h2o.residual_dof

Retrieve the residual degrees of freedom

Cross Tabulation and Table Creation in H2O

h2o.varimp,H2OModel-method

Retrieve the variable importance.

Delete Objects In H2O

Replicate Elements of Vectors or Lists into H2O

Print An H2OFrame

Variance of a column or covariance of columns.

h2o.targetencoder

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

Get the total sum of squares.

Convert Milliseconds to Week of Week Year in H2O Datasets

Convert strings to uppercase

Plot an H2O Model

Predict on an H2O Model

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

Retrieves Root Mean Squared Error Value

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

Skewness of a column

Scaling and Centering of an H2OFrame

show,H2OParetoFront-method

Show H2OParetoFront

h2o.shap_summary_plot

SHAP Summary Plot

Which indices are TRUE?

Retrieve the results to view the best predictor subsets.

plot,H2OParetoFront-method

Plot Pareto front

Build an eXtreme Gradient Boosting model

h2o.randomForest

Build a Random Forest model

Tabulation between Two Columns of an H2OFrame

h2o.varimp,H2OAutoML-method

Retrieve the variable importance.

h2o.residual_analysis_plot

Residual Analysis

Compute element-wise string distances between two H2OFrames

Split an H2O Data Set

Convert Milliseconds to Years in H2O Datasets

Get the Within SS

h2o.varimp_plot

Plot Variable Importances

h2o.xgboost.available

Determines whether an XGBoost model can be built

Print method for H2OTable objects

predict_leaf_node_assignment.H2OModel

Predict the Leaf Node Assignment on an H2O Model

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.

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

h2o.set_s3_credentials

Creates a new Amazon S3 client internally with specified credentials.

Combine H2O Datasets by Rows

Build a RuleFit Model

h2o.train_segments

H2O Segmented-Data Bulk Model Training

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

Produce a Vector of Random Uniform Numbers

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

Standard Deviation of a column of data.

Range of an H2O Column

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

Retrieve the Root Mean Squared Log Error

h2o.scoreHistory

Retrieve Model Score History

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.

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.)

Summarizes the columns of an H2OFrame.

Which indice contains the max value?

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

h2o.upliftRandomForest

Build a Uplift Random Forest model

Column names of an H2OFrame

Compute the square root of x

Truncate values in x toward 0

Display the structure of an H2OFrame object

Use optional package

h2o.stackedEnsemble

Builds a Stacked Ensemble

Check if factor

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.)

Check if character

Convert a word2vec model into an H2OFrame

Tokenize String

h2o.stopLogging

Stop Writing H2O R Logs

summary,H2OModel-method

Print the Model Summary

Is H2O Frame object

Retrieve the variable importance.

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

Check if numeric

length,H2OTree-method

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

Muscular Actuations for Walking Subject

model_cache-class

Needed to be able to memoise the models

Scaling and Centering of an H2OFrame