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h2o (version 3.36.1.2)

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

3.36.1.2

License

Apache License (== 2.0)

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Repository

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

Maintainer

Erin LeDell

Last Published

May 28th, 2022

Functions in h2o (3.36.1.2)

S3 Group Generic Functions for H2O

H2OConnectionMutableState

The H2OConnectionMutableState class

H2OFrame-Extract

Extract or Replace Parts of an H2OFrame Object

H2OClusteringModel-class

The H2OClusteringModel object.

H2OConnection-class

The H2OConnection class.

H2OCoxPHModel-class

The H2OCoxPHModel object.

H2OAutoML-class

The H2OAutoML class

H2OSegmentModelsFuture-class

H2O Future Segment Models

The H2OFrame class

H2OInfogram-class

H2OInfogram class

as.data.frame.H2OFrame

Converts parsed H2O data into an R data frame

H2OSegmentModels-class

H2O Segment Models

Australia Coastal Data

as.vector.H2OFrame

Convert an H2OFrame to a vector

The H2ONode class.

The H2OTree class.

dimnames.H2OFrame

Column names of an H2OFrame

H2OSplitNode-class

The H2OSplitNode class.

Virtual Keyed class

wrapper function for instantiating H2OInfogram

H2OLeafNode-class

The H2OLeafNode class.

.find_appropriate_column_name

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

.customized_call

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

The H2OModel object.

Starting H2O For examples

H2OModelMetrics-class

The H2OModelMetrics Object.

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

H2OModelFuture-class

H2O Future Model

H2OCoxPHModelSummary-class

The H2OCoxPHModelSummary object.

.check_for_ggplot2

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

Convert H2O Data to Numeric

Logical and for H2OFrames

as.matrix.H2OFrame

Convert an H2OFrame to a matrix

as.data.frame.H2OSegmentModels

Converts a collection of Segment Models to a data.frame

Get the algoritm used by the model_or_model_id

.leaderboard_for_row

Enhance leaderboard with per-model predictions.

Compute the absolute value of x

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

Administrative Endpoints

.is_plotting_to_rnotebook

Check if we are plotting in to r notebook.

h2o.HGLMMetrics

Retrieve HGLM ModelMetrics

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.

.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.

Import/Export Endpoints

.get_domain_mapping

Get a mapping between columns and their domains

.consolidate_varimps

Consolidate variable importances

Rapids Endpoint

.h2o.perfect_auc

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

.h2o.__LOGANDECHO

Log and Echo Endpoint

.h2o.__PARSE_SETUP

Parse Endpoints

.h2o.primitives

Map of operations known to H2O

h2o.ascharacter

Convert H2O Data to Characters

Compute the arc cosine of x

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

Helper Collapse Function

Logical or for H2OFrames

Accessor Methods for H2OModel Object

Apply on H2O Datasets

Convert H2O Data to Factors

Compute the hyperbolic cosine of x

.h2o.__ALL_CAPABILITIES

Capabilities endpoints

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

as.character.H2OFrame

Convert an H2OFrame to a String

.h2o.__SEGMENT_MODELS_BUILDERS

Segment Models Builder Endpoint Generator

.h2o.__CREATE_FRAME

H2OFrame Manipulation

.h2o.__REST_API_VERSION

H2O Package Constants

Returns the column names of an H2OFrame

Check H2OFrame columns for factors

Inspect/Summary Endpoints

Retrieve the Model Centers STD

.create_leaderboard

Create a leaderboard like data frame for models

Convert H2O Data to Factors

Removal Endpoints

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

Create H2OFrame

.h2o.__DECRYPTION_SETUP

Decryption Endpoints

Perform a REST API request to a previously connected server.

Combine H2O Datasets by Columns

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

Get the between cluster sum of squares

Returns the Dimensions of an H2OFrame

Automatic Machine Learning

Retrieve the Model Centers

.get_first_of_family

Get first of family models

.get_feature_count

Get feature count sorted by the count descending.

.h2o.__MODEL_BUILDERS

Model Builder Endpoint Generator

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.

Return the cumulative product over a column or across a row

.h2o.doSafePOST

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

h2o.coef_with_p_values

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

feature_frequencies.H2OModel

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

Min-max normalization.

h2o.cluster_sizes

Retrieve the cluster sizes

.is_h2o_tree_model

Is the model a Tree-based H2O Model?

.h2o.__checkConnectionHealth

Check H2O Server Health

Delete All H2O R Logs

Return the cumulative min over a column or across a row

generate_col_ind

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

.h2o.__W2V_SYNONYMS

Word2Vec Endpoints

h2o.clusterInfo

Print H2O cluster info

h2o.getAlphaBest

Extract best alpha value found from glm model.

Return the respective bias vector

.h2o.__MODEL_METRICS

Model Metrics Endpoint

.h2o.is_progress

Check if Progress Bar is Enabled

h2o.downloadCSV

Download H2O Data to Disk

Connect to a running H2O instance.

h2o.deepfeatures

Feature Generation via H2O Deep Learning

h2o.find_row_by_threshold

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

Correlation of columns.

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

h2o.deeplearning

Build a Deep Neural Network model using CPUs

Retrieve the AUC

.h2o.__EXPORT_FILES

Export Files Endpoint Generator

h2o.find_threshold_by_max_metric

Find the threshold, give the max metric

h2o.auuc_normalized

Retrieve normalized AUUC

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

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

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

Get h2o version

H2O Grid Support

Search for matches to an argument pattern

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

Get the types-per-column

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

Perform a low-level HTTP GET operation on an H2O 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.import_sql_select

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

Is the model an H2O model?

Sorts an H2O frame by columns

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

.shorten_model_ids

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

.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.

Retrieves Mean Squared Error Value

Convert between character representations and objects of Date class

h2o.createFrame

Data H2OFrame Creation in H2O

h2o.cross_validation_models

Retrieve the cross-validation models

The H2O Package Environment

Has the model variable importance?

Return the cumulative max over a column or across a row

h2o.make_metrics

Create Model Metrics from predicted and actual values in H2O

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

Get variable importance in a standardized way.

Plot variable importances with ggplot2

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

h2o.confusionMatrix

Access H2O Confusion Matrices

Retrieve the all types of AUUC in a table

h2o.aggregated_frame

Retrieve an aggregated frame from an Aggregator model

h2o.cross_validation_fold_assignment

Retrieve the cross-validation fold assignment

h2o.getLambdaBest

Extract best lambda value found from glm model.

h2o.mean_residual_deviance

Retrieve the Mean Residual Deviance value

Get an R reference to an H2O model

h2o.mean_per_class_error

Retrieve the mean per class error

Anomaly Detection via H2O Deep Learning Model

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

h2o.clusterStatus

Return the status of the cluster

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

h2o.filterNACols

Filter NA Columns

h2o.download_mojo

Download the model in MOJO format.

H2O Description of A Dataset

Conduct a lag 1 transform on a numeric H2OFrame column

h2o.download_pojo

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

h2o.cross_validation_predictions

Retrieve the cross-validation predictions

Rename an H2O object.

h2o.interaction

Categorical Interaction Feature Creation in H2O

h2o.import_sql_table

Import SQL Table into H2O

Convert Milliseconds to Day of Month in H2O Datasets

h2o.gains_lift_plot,H2OModelMetrics-method

Plot Gains/Lift curves

h2o.computeGram

Compute weighted gram matrix.

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

Retrieve the AUCPR (Area Under Precision Recall Curve)

h2o.centroid_stats

Retrieve centroid statistics

h2o.drop_duplicates

Drops duplicated rows.

H2O R Interface

Access H2O Gains/Lift Tables

Compute the cosine of x

h2o.clusterIsUp

Determine if an H2O cluster is up or not

Fit a General Additive Model

h2o.get_leaderboard

Retrieve the leaderboard from the AutoML instance.

h2o.findSynonyms

Find synonyms using a word2vec model.

Build gradient boosted classification or regression trees

Return the cumulative sum over a column or across a row

Shannon entropy

Check Client Mode Connection

Method on Keyed objects allowing to obtain their key.

h2o.isolationForest

Trains an Isolation Forest model

Basic Imputation of H2O Vectors

Cut H2O Numeric Data to Factor

Build an Aggregated Frame

Generate Model Explanations

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.list_api_extensions

List registered API extensions

h2o.import_mojo

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

Export a Model to HDFS

h2o.ischaracter

Check if character

h2o.extendedIsolationForest

Trains an Extended Isolation Forest model

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

Retrieve the Akaike information criterion (AIC) value

h2o.mojo_predict_df

H2O Prediction from R without having H2O running

h2o.get_segment_models

Retrieves an instance of H2OSegmentModels for a given id.

Load H2O Model from HDFS or Local Disk

Convert H2O Data to Numerics

Load frame previously stored in H2O's native format.

h2o.get_ntrees_actual

Retrieve actual number of trees for tree algorithms

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

h2o.model_correlation

Model Prediction Correlation

Get an R object that is a subclass of H2OAutoML

Column names of an H2OFrame

h2o.gains_lift_plot,H2OModel-method

Plot Gains/Lift curves

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.

Initialize and Connect to H2O

Kurtosis of a column

h2o.insertMissingValues

Insert Missing Values into an H2OFrame

Return the Head or Tail of an H2O Dataset.

h2o.getConnection

Retrieve an H2O Connection

h2o.learning_curve_plot

Learning Curve Plot

h2o.get_best_model_predictors

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

Retrieve the GINI Coefficcient

Split H2O Dataset, Apply Function, and Return Results

Compute the logarithm of x

Compute naive Bayes probabilities on an H2O dataset.

Group and Apply by Column

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.get_best_model

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

h2o.hit_ratio_table

Retrieve the Hit Ratios

Compute A Histogram

String Global Substitute

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

Compute the log10 of x

h2o.genericModel

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

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.decryptionSetup

Setup a Decryption Tool

Compute the log1p of x

Compute the log2 of x

h2o.listTimezones

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

h2o.list_models

Get an list of all model ids present in the cluster

h2o.residual_analysis_plot

Residual Analysis

Delete Objects In H2O

Return the levels from the column requested column.

h2o.getLambdaMax

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

Retrieve the R2 value

List Keys on an H2O Cluster

h2o.import_hive_table

Import Hive Table into H2O

h2o.explain_row

Generate Model Explanations for a single row

h2o.downloadAllLogs

Download H2O Log Files to Disk

Remove Rows With NAs

Strip set from left

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.

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

h2o.cross_validation_holdout_predictions

Retrieve the cross-validation holdout predictions

Return column names of an H2OFrame

Compute the exponential function of x

Compute DCT of an H2OFrame

Return the number of columns present in x.

h2o.columns_by_type

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

Return the number of rows present in x.

h2o.networkTest

View Network Traffic Speed

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

h2o.feature_interaction

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

Returns the minima of the input values.

Compute msec since the Unix Epoch

h2o.train_segments

H2O Segmented-Data Bulk Model Training

h2o.getGLMFullRegularizationPath

Extract full regularization path from a GLM model

Convert Milliseconds to Day of Week in H2O Datasets

Log a message on the server-side logs

h2o.tot_withinss

Get the total within cluster sum of squares.

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.partialPlot

Partial Dependence Plots

Retrieve the Log Loss Value

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

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

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

Count of NAs per column

Retrieves Root Mean Squared Error Value

h2o.list_core_extensions

List registered core extensions

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.gains_lift_plot

Plot Gains/Lift curves

Convert Milliseconds to Hour of Day in H2O Datasets

h2o.get_best_r2_values

Extracts the best R2 values for all predictor subset size.

h2o.getTimezone

Get the Time Zone on the H2O cluster Returns a string

h2o.num_valid_substrings

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

View H2O R Logs

Check if factor

Performs k-means clustering on an H2O dataset

h2o.kolmogorov_smirnov

Kolmogorov-Smirnov metric for binomial models

Generalized low rank decomposition of an H2O data frame

Fit a generalized linear model

h2o.no_progress

Disable Progress Bar

Returns the maxima of the input values.

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

Plot Individual Conditional Expectation (ICE) for each decile

Column names of an H2OFrame

Retrieve the Mean Absolute Error Value

H2O Model Metric Accessor Functions

Check if numeric

h2o.makeGLMModel

Set betas of an existing H2O GLM Model

Merge Two H2O Data Frames

Print An H2OFrame

h2o.pd_multi_plot

Plot partial dependencies for a variable across multiple models

h2o.kfold_column

Produce a k-fold column vector.

Dump the stack into the JVM's stdout.

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

Quantiles of H2O Frames.

h2o.thresholds_and_metric_scores

Retrieve the thresholds and metric scores table

Execute a Rapids expression.

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

h2o.reconstruct

Reconstruct Training Data via H2O GLRM Model

Combine H2O Datasets by Rows

h2o.scoreHistoryGAM

Retrieve GLM Model Score History buried in GAM model

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

Convert Milliseconds to Months in H2O Datasets

Shut Down H2O Instance

Predict on an H2O Model

h2o.list_all_extensions

List all H2O registered extensions

h2o.residual_deviance

Retrieve the residual deviance

H2O Data Parsing

h2o.stackedEnsemble

Builds a Stacked Ensemble

h2o.predict_json

H2O Prediction from R without having H2O running

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

h2o.relevel_by_frequency

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

H2O Apply Conditional Statement

Import Files into H2O

h2o.reset_threshold

Reset model threshold and return old threshold value.

Which indice contains the max value?

model_cache-class

Needed to be able to memoise the models

h2o.startLogging

Start Writing H2O R Logs

h2o.varimp,H2OAutoML-method

Retrieve the variable importance.

Summarizes the columns of an H2OFrame.

Which indices are TRUE?

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.

Variance of a column or covariance of columns.

United States Congressional Voting Records 1984

h2o.predicted_vs_actual_by_variable

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

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

h2o.num_iterations

Retrieve the number of iterations.

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

Retrieve the null degrees of freedom

Delete Columns from an H2OFrame

Scaling and Centering of an H2OFrame

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

Replicate Elements of Vectors or Lists into H2O

initialize,H2OInfogram-method

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

Return list of jobs performed by the H2O cluster

Retrieve the Root Mean Squared Log Error

Get a parse setup back for the staged data.

h2o.shap_summary_plot

SHAP Summary Plot

Value Matching in H2O

Get the number of factor levels for this frame.

h2o.model_correlation_heatmap

Model Prediction Correlation Heatmap

h2o.mojo_predict_csv

H2O Prediction from R without having H2O running

h2o.null_deviance

Retrieve the null deviance

Store frame data in H2O's native format.

Convert strings to uppercase

Retrieve the default Qini value

Resume previously stopped grid training.

Saves an existing Grid of models into a given folder.

Produce a Vector of Random Uniform Numbers

Column names of an H2OFrame

h2o.residual_dof

Retrieve the residual degrees of freedom

Is H2O Frame object

Principal component analysis of an H2O data frame

h2o.randomForest

Build a Random Forest model

Strip set from right

Build a RuleFit Model

h2o.varimp,H2OFrame-method

Retrieve the variable importance.

h2o.target_encode_apply

Apply Target Encoding Map to Frame

Save an H2O Model Object as Mojo to Disk

h2o.scoreHistory

Retrieve Model Score History

h2o.shap_explain_row_plot

SHAP Local Explanation

Get the Within SS

show,H2OAutoML-method

Format AutoML object in user-friendly way

String Substitute

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.)

Which index contains the min value?

Tokenize String

h2o.performance

Model Performance Metrics in H2O

h2o.permutation_importance_plot

Plot Permutation Variable Importances.

Trains a Support Vector Machine model on an H2O dataset

Print method for H2OTable objects

h2o.permutation_importance

Calculate Permutation Feature Importance.

Check if numeric

h2o.proj_archetypes

Convert Archetypes to Features from H2O GLRM Model

Plot partial dependence for a variable

Truncate values in x toward 0

h2o.transform,H2OWordEmbeddingModel-method

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

Set Levels of H2O Factor Column

summary,H2OModel-method

Print the Model Summary

h2o.upliftRandomForest

Build a Uplift Random Forest model

h2o.saveModelDetails

Save an H2O Model Details

Save an H2O Model Object to Disk

h2o.std_coef_plot

Plot Standardized Coefficient Magnitudes

Cross Tabulation and Table Creation in H2O

Use optional package

length,H2OTree-method

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

staged_predict_proba.H2OModel

Predict class probabilities at each stage of an H2O Model

Standard Deviation of a column of data.

Compute the sine of x

h2o.save_to_hive

Save contents of this data frame into a Hive table

h2o.setTimezone

Set the Time Zone on the H2O cluster

Tabulation between Two Columns of an H2OFrame

predict_leaf_node_assignment.H2OModel

Predict the Leaf Node Assignment on an H2O Model

Retrieve the variable importance.

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

h2o.stopLogging

Stop Writing H2O R Logs

h2o.targetencoder

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

h2o.transform,H2OTargetEncoderModel-method

Applies target encoding to a given dataset

h2o.show_progress

Enable Progress Bar

with_no_h2o_progress

Suppresses h2o progress output from expr

h2o.set_s3_credentials

Creates a new Amazon S3 client internally with specified credentials.

Display the structure of an H2OFrame object

Use H2O Transformation model and apply the underlying transformation

Split an H2O Data Set

Compute the square root of x

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

Compute the hyperbolic tangent of x

Compute the tangent of x

h2o.xgboost.available

Determines whether an XGBoost model can be built

Build an eXtreme Gradient Boosting model

h2o.varimp,H2OModel-method

Retrieve the variable importance.

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

Remove All Objects on the H2O Cluster

Convert strings to lowercase

Plot an H2O Model

Convert Milliseconds to Years in H2O Datasets

h2o.transform_word2vec

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

Convert a word2vec model into an H2OFrame

h2o.varimp_heatmap

Variable Importance Heatmap across multiple models

Display the structure of an H2OFrame object

plot.H2OInfogram

Plot an H2O Infogram

Retrieve the standard deviations of principal components

summary,H2OAutoML-method

Format AutoML object in user-friendly way

Skewness of a column

Check if character

h2o.target_encode_create

Create Target Encoding Map

Get the total sum of squares.

plot.H2OTabulate

Plot an H2O Tabulate Heatmap

Convert Milliseconds to Week of Week Year in H2O Datasets

Scaling and Centering of an H2OFrame

Shutdown H2O cluster after examples run

Print An H2OFrame

h2o.upload_mojo

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

Compute element-wise string distances between two H2OFrames

predict.H2OAutoML

Predict on an AutoML object

Retrieve the respective weight matrix

Range of an H2O Column

Check if factor

Edgar Anderson's Iris Data

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.varimp_plot

Plot Variable Importances

summary,H2OGrid-method

Format grid object in user-friendly way

summary,H2OCoxPHModel-method

Summary method for H2OCoxPHModel objects

Prostate Cancer Study

predict_contributions.H2OModel

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

predict.H2OModel

Predict on an H2O Model

Muscular Actuations for Walking Subject