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h2o (version 3.38.0.1)

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.packages('h2o')

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14,878

Version

3.38.0.1

License

Apache License (== 2.0)

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Repository

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

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Last Published

September 23rd, 2022

Functions in h2o (3.38.0.1)

H2OConnection-class

The H2OConnection class.

H2OAutoML-class

The H2OAutoML class

H2OConnectionMutableState

The H2OConnectionMutableState class

H2OCoxPHModel-class

The H2OCoxPHModel object.

H2OFrame-Extract

Extract or Replace Parts of an H2OFrame Object

H2OClusteringModel-class

The H2OClusteringModel object.

H2OCoxPHModelSummary-class

The H2OCoxPHModelSummary object.

The H2OFrame class

S3 Group Generic Functions for H2O

H2OLeafNode-class

The H2OLeafNode class.

wrapper function for instantiating H2OInfogram

H2OInfogram-class

H2OInfogram class

The H2ONode class.

Virtual Keyed class

The H2OModel object.

H2OModelFuture-class

H2O Future Model

H2OModelMetrics-class

The H2OModelMetrics Object.

as.data.frame.H2OSegmentModels

Converts a collection of Segment Models to a data.frame

H2OSegmentModels-class

H2O Segment Models

as.data.frame.H2OFrame

Converts parsed H2O data into an R data frame

Accessor Methods for H2OModel Object

Starting H2O For examples

H2OSegmentModelsFuture-class

H2O Future Segment Models

The H2OTree class.

case_insensitive_match_arg

Works like match.arg but ignores case

H2OSplitNode-class

The H2OSplitNode class.

Logical and for H2OFrames

Apply on H2O Datasets

Convert H2O Data to Factors

Logical or for H2OFrames

Returns the column names of an H2OFrame

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

Create H2OFrame

.customized_call

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

as.character.H2OFrame

Convert an H2OFrame to a String

.create_leaderboard

Create a leaderboard like data frame for models

as.matrix.H2OFrame

Convert an H2OFrame to a matrix

.h2o.__LOGANDECHO

Log and Echo Endpoint

Administrative Endpoints

Returns the Dimensions of an H2OFrame

.check_for_ggplot2

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

.get_domain_mapping

Get a mapping between columns and their domains

dimnames.H2OFrame

Column names of an H2OFrame

.h2o.__SEGMENT_MODELS_BUILDERS

Segment Models Builder Endpoint Generator

.h2o.__EXPORT_FILES

Export Files Endpoint Generator

as.vector.H2OFrame

Convert an H2OFrame to a vector

Import/Export Endpoints

Convert H2O Data to Numeric

Australia Coastal Data

Helper Collapse Function

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

.get_feature_count

Get feature count sorted by the count descending.

.consolidate_varimps

Consolidate variable importances

.get_first_of_family

Get first of family models

Inspect/Summary Endpoints

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

.h2o.__MODEL_METRICS

Model Metrics Endpoint

.h2o.__DECRYPTION_SETUP

Decryption Endpoints

Removal Endpoints

.h2o.__ALL_CAPABILITIES

Capabilities endpoints

.h2o.__CREATE_FRAME

H2OFrame Manipulation

.leaderboard_for_row

Enhance leaderboard with per-model predictions.

Get the algoritm used by the model_or_model_id

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

The H2O Package Environment

.h2o.primitives

Map of operations known to H2O

Rapids Endpoint

.h2o.__W2V_SYNONYMS

Word2Vec Endpoints

Min-max normalization.

.find_appropriate_column_name

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

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.

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

Has the model variable importance?

.h2o.__checkConnectionHealth

Check H2O Server Health

.has_model_coefficients

Has the model coefficients?

.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.__PARSE_SETUP

Parse Endpoints

.is_plotting_to_rnotebook

Check if we are plotting in to r notebook.

.shorten_model_ids

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

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

Get variable importance in a standardized way.

.h2o.__MODEL_BUILDERS

Model Builder Endpoint Generator

.h2o.__REST_API_VERSION

H2O Package Constants

.skip_if_not_developer

H2O <-> R Communication and Utility Methods

.h2o.doSafePOST

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

H2O R Interface

generate_col_ind

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

Is the model an H2O model?

feature_frequencies.H2OModel

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

.h2o.perfect_auc

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

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

Retrieve the Akaike information criterion (AIC) value

Build an Aggregated Frame

h2o.HGLMMetrics

Retrieve HGLM ModelMetrics

.is_h2o_tree_model

Is the model a Tree-based H2O Model?

Check H2OFrame columns for factors

Compute the absolute value of x

h2o.ascharacter

Convert H2O Data to Characters

Convert H2O Data to Factors

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

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

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

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

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

Perform a REST API request to a previously connected server.

h2o.aggregated_frame

Retrieve an aggregated frame from an Aggregator model

Sorts an H2O frame by columns

Convert between character representations and objects of Date class

Anomaly Detection via H2O Deep Learning Model

h2o.auuc_normalized

Retrieve normalized AUUC

Plot variable importances with ggplot2

.h2o.is_progress

Check if Progress Bar is Enabled

Compute the arc cosine of x

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

Rename an H2O object.

Combine H2O Datasets by Columns

Return the respective bias vector

Get the between cluster sum of squares

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

Retrieve the all types of AUUC in a table

h2o.cluster_sizes

Retrieve the cluster sizes

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

h2o.clusterIsUp

Determine if an H2O cluster is up or not

Retrieve the Model Centers

Correlation of columns.

h2o.clusterStatus

Return the status of the cluster

Connect to a running H2O instance.

Compute the cosine of x

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

Automatic Machine Learning

h2o.clusterInfo

Print H2O cluster info

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

Convert H2O Data to Numerics

Delete All H2O R Logs

h2o.coef_with_p_values

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

h2o.cross_validation_predictions

Retrieve the cross-validation predictions

h2o.cross_validation_models

Retrieve the cross-validation models

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

h2o.confusionMatrix

Access H2O Confusion Matrices

h2o.computeGram

Compute weighted gram matrix.

h2o.createFrame

Data H2OFrame Creation in H2O

Return the cumulative max over a column or across a row

Return the cumulative min over a column or across a row

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.

Compute the hyperbolic cosine of x

h2o.decryptionSetup

Setup a Decryption Tool

Split H2O Dataset, Apply Function, and Return Results

Convert Milliseconds to Day of Month in H2O Datasets

Conduct a lag 1 transform on a numeric H2OFrame column

H2O Description of A Dataset

Cut H2O Numeric Data to Factor

Retrieve the Model Centers STD

Retrieve the AUCPR (Area Under Precision Recall Curve)

h2o.cross_validation_holdout_predictions

Retrieve the cross-validation holdout predictions

h2o.cross_validation_fold_assignment

Retrieve the cross-validation fold assignment

h2o.centroid_stats

Retrieve centroid statistics

Retrieve the AUC

h2o.download_pojo

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

Shannon entropy

h2o.drop_duplicates

Drops duplicated rows.

Compute DCT of an H2OFrame

Column names of an H2OFrame

Return the cumulative sum over a column or across a row

Return the cumulative product over a column or across a row

h2o.download_mojo

Download the model in MOJO format.

Convert Milliseconds to Day of Week in H2O Datasets

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

h2o.deepfeatures

Feature Generation via H2O Deep Learning

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

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 column names of an H2OFrame

h2o.downloadCSV

Download H2O Data to Disk

h2o.columns_by_type

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

h2o.filterNACols

Filter NA Columns

h2o.deeplearning

Build a Deep Neural Network model using CPUs

h2o.feature_interaction

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

Compute the exponential function of x

Export a Model to HDFS

h2o.explain_row

Generate Model Explanations for a single row

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

h2o.downloadAllLogs

Download H2O Log Files to Disk

h2o.findSynonyms

Find synonyms using a word2vec model.

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

Fit a General Additive Model

h2o.find_threshold_by_max_metric

Find the threshold, give the max metric

Build gradient boosted classification or regression trees

h2o.find_row_by_threshold

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

h2o.gains_lift_plot,H2OModel-method

Plot Gains/Lift curves

Generate Model Explanations

h2o.gains_lift_plot

Plot Gains/Lift curves

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

h2o.getGLMFullRegularizationPath

Extract full regularization path from a GLM 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.

h2o.getLambdaMax

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

h2o.genericModel

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

h2o.gains_lift_plot,H2OModelMetrics-method

Plot Gains/Lift curves

Access H2O Gains/Lift Tables

h2o.getLambdaBest

Extract best lambda value found from glm model.

Get the types-per-column

Get h2o version

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.getTimezone

Get the Time Zone on the H2O cluster Returns a string

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

h2o.extendedIsolationForest

Trains an Extended Isolation Forest model

h2o.getConnection

Retrieve an H2O Connection

h2o.getAlphaBest

Extract best alpha value found from glm model.

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

Get an R reference to an H2O model

h2o.get_segment_models

Retrieves an instance of H2OSegmentModels for a given id.

h2o.get_variable_inflation_factors

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

h2o.get_predictors_removed_per_step

Extracts the predictor removed to model at each step.

h2o.get_predictors_added_per_step

Extracts the predictor added to model at each step.

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.get_best_r2_values

Extracts the best R2 values for all predictor subset size.

h2o.get_best_model_predictors

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

Search for matches to an argument pattern

Generalized low rank decomposition of an H2O data frame

Retrieve the GINI Coefficcient

Fit a generalized linear model

Plot Individual Conditional Expectation (ICE) for each decile

Compute A Histogram

H2O Apply Conditional Statement

Return the Head or Tail of an H2O Dataset.

h2o.hit_ratio_table

Retrieve the Hit Ratios

H2O Grid Support

h2o.get_ntrees_actual

Retrieve actual number of trees for tree algorithms

Group and Apply by Column

h2o.get_best_model

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

h2o.get_leaderboard

Retrieve the leaderboard from the AutoML instance.

Get an R object that is a subclass of H2OAutoML

String Global Substitute

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.

Convert Milliseconds to Hour of Day in H2O Datasets

h2o.import_hive_table

Import Hive Table into H2O

Basic Imputation of H2O Vectors

h2o.import_sql_table

Import SQL Table into H2O

Import Files into H2O

h2o.insertMissingValues

Insert Missing Values into an H2OFrame

h2o.interaction

Categorical Interaction Feature Creation in H2O

Check if numeric

h2o.isolationForest

Trains an Isolation Forest model

Check if factor

Performs k-means clustering on an H2O dataset

h2o.import_sql_select

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

h2o.list_all_extensions

List all H2O registered extensions

h2o.list_api_extensions

List registered API extensions

h2o.ischaracter

Check if character

h2o.kolmogorov_smirnov

Kolmogorov-Smirnov metric for binomial models

h2o.import_mojo

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

Dump the stack into the JVM's stdout.

Return the levels from the column requested column.

h2o.listTimezones

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

Compute the logarithm of x

h2o.kfold_column

Produce a k-fold column vector.

Initialize and Connect to H2O

Retrieve the Log Loss Value

Log a message on the server-side logs

h2o.learning_curve_plot

Learning Curve Plot

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

Kurtosis of a column

h2o.isotonicregression

Build an Isotonic Regression model

h2o.list_models

Get an list of all model ids present in the cluster

Method on Keyed objects allowing to obtain their key.

Check Client Mode Connection

Compute the log10 of x

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

Retrieve the Mean Absolute Error Value

h2o.makeGLMModel

Set betas of an existing H2O GLM Model

h2o.mean_per_class_error

Retrieve the mean per class error

Load frame previously stored in H2O's native format.

h2o.list_core_extensions

List registered core extensions

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

Merge Two H2O Data Frames

h2o.make_leaderboard

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

h2o.make_metrics

Create Model Metrics from predicted and actual values in H2O

h2o.model_correlation

Model Prediction Correlation

H2O Model Metric Accessor Functions

h2o.mean_residual_deviance

Retrieve the Mean Residual Deviance value

h2o.model_correlation_heatmap

Model Prediction Correlation Heatmap

Load H2O Model from HDFS or Local Disk

Returns the maxima of the input values.

Return list of jobs performed by the H2O cluster

Value Matching in H2O

List Keys on an H2O Cluster

Strip set from left

Compute the log1p of x

Returns the minima of the input values.

Compute the log2 of x

Remove Rows With NAs

Convert Milliseconds to Months in H2O Datasets

Retrieves Mean Squared Error Value

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.

Count of NAs per column

Return the number of rows present in x.

h2o.no_progress

Disable Progress Bar

Get the number of factor levels for this frame.

h2o.mojo_predict_df

H2O Prediction from R without having H2O running

Compute naive Bayes probabilities on an H2O dataset.

h2o.mojo_predict_csv

H2O Prediction from R without having H2O running

h2o.networkTest

View Network Traffic Speed

h2o.pd_multi_plot

Plot partial dependencies for a variable across multiple models

h2o.partialPlot

Partial Dependence Plots

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.num_iterations

Retrieve the number of iterations.

h2o.num_valid_substrings

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

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.

Column names of an H2OFrame

Retrieve the null degrees of freedom

h2o.null_deviance

Retrieve the null deviance

Get a parse setup back for the staged data.

h2o.permutation_importance

Calculate Permutation Feature Importance.

H2O Data Parsing

Return the number of columns present in x.

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.

Plot partial dependence for a variable

h2o.performance

Model Performance Metrics in H2O

h2o.predicted_vs_actual_by_variable

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

Predict on an H2O Model

View H2O R Logs

h2o.pareto_front

Plot Pareto front

h2o.predict_json

H2O Prediction from R without having H2O running

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

Print An H2OFrame

Trains a Support Vector Machine model on an H2O dataset

Principal component analysis of an H2O data frame

h2o.permutation_importance_plot

Plot Permutation Variable Importances.

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

Retrieve the R2 value

Combine H2O Datasets by Rows

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.

Execute a Rapids expression.

h2o.reconstruct

Reconstruct Training Data via H2O GLRM Model

h2o.randomForest

Build a Random Forest model

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.

Delete Columns from an H2OFrame

Retrieve the default Qini value

Resume previously stopped grid training.

Remove All Objects on the H2O Cluster

h2o.relevel_by_frequency

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

h2o.proj_archetypes

Convert Archetypes to Features from H2O GLRM Model

h2o.reset_threshold

Reset model threshold and return old threshold value.

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

h2o.residual_analysis_plot

Residual Analysis

h2o.residual_deviance

Retrieve the residual deviance

Replicate Elements of Vectors or Lists into H2O

h2o.residual_dof

Retrieve the residual degrees of freedom

Save an H2O Model Object to Disk

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

Build a RuleFit Model

Saves an existing Grid of models into a given folder.

Retrieve the Root Mean Squared Log Error

Delete Objects In H2O

Retrieves Root Mean Squared Error Value

Produce a Vector of Random Uniform Numbers

h2o.saveModelDetails

Save an H2O Model Details

Strip set from right

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.scoreHistory

Retrieve Model Score History

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

Standard Deviation of a column of data.

Store frame data in H2O's native format.

Save an H2O Model Object as Mojo to Disk

h2o.scoreHistoryGAM

Retrieve GLM Model Score History buried in GAM model

h2o.save_to_hive

Save contents of this data frame into a Hive table

h2o.shap_explain_row_plot

SHAP Local Explanation

Scaling and Centering of an H2OFrame

h2o.shap_summary_plot

SHAP Summary Plot

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

Compute the sine of x

Shut Down H2O Instance

h2o.show_progress

Enable Progress Bar

Set Levels of H2O Factor Column

Compute the square root of x

h2o.set_s3_credentials

Creates a new Amazon S3 client internally with specified credentials.

h2o.setTimezone

Set the Time Zone on the H2O cluster

Display the structure of an H2OFrame object

Skewness of a column

Split an H2O Data Set

h2o.startLogging

Start Writing H2O R Logs

h2o.stackedEnsemble

Builds a Stacked Ensemble

Retrieve the standard deviations of principal components

Compute element-wise string distances between two H2OFrames

h2o.stopLogging

Stop Writing H2O R Logs

Cross Tabulation and Table Creation in H2O

h2o.std_coef_plot

Plot Standardized Coefficient Magnitudes

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

String Substitute

Compute the hyperbolic tangent of x

h2o.target_encode_apply

Apply Target Encoding Map to Frame

Compute the tangent of x

Tabulation between Two Columns of an H2OFrame

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

h2o.tot_withinss

Get the total within cluster sum of squares.

h2o.train_segments

H2O Segmented-Data Bulk Model Training

Convert a word2vec model into an H2OFrame

Tokenize String

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

h2o.thresholds_and_metric_scores

Retrieve the thresholds and metric scores table

Truncate values in x toward 0

h2o.transform_word2vec

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

Summarizes the columns of an H2OFrame.

Get the total sum of squares.

Convert strings to uppercase

h2o.target_encode_create

Create Target Encoding Map

h2o.targetencoder

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

Use H2O Transformation model and apply the underlying transformation

h2o.transform,H2OWordEmbeddingModel-method

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

h2o.transform,H2OTargetEncoderModel-method

Applies target encoding to a given dataset

h2o.varimp_heatmap

Variable Importance Heatmap across multiple models

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.upload_mojo

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

h2o.upliftRandomForest

Build a Uplift Random Forest model

Variance of a column or covariance of columns.

Convert strings to lowercase

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

Get the Within SS

Retrieve the variable importance.

Build an eXtreme Gradient Boosting model

Convert Milliseconds to Week of Week Year in H2O Datasets

h2o.varimp,H2OAutoML-method

Retrieve the variable importance.

h2o.xgboost.available

Determines whether an XGBoost model can be built

h2o.varimp,H2OModel-method

Retrieve the variable importance.

Which indices are TRUE?

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.)

h2o.varimp,H2OFrame-method

Retrieve the variable importance.

Retrieve the respective weight matrix

Edgar Anderson's Iris Data

Check if character

Is H2O Frame object

Convert Milliseconds to Years in H2O Datasets

initialize,H2OInfogram-method

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

Check if factor

United States Congressional Voting Records 1984

plot,H2OParetoFront-method

Plot Pareto front

predict.H2OModel

Predict on an H2O Model

Column names of an H2OFrame

predict_contributions.H2OModel

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

predict.H2OAutoML

Predict on an AutoML object

Print method for H2OTable objects

plot.H2OTabulate

Plot an H2O Tabulate Heatmap

Prostate Cancer Study

summary,H2OCoxPHModel-method

Summary method for H2OCoxPHModel objects

summary,H2OAutoML-method

Format AutoML object in user-friendly way

Shutdown H2O cluster after examples run

summary,H2OGrid-method

Format grid object in user-friendly way

summary,H2OModel-method

Print the Model Summary

Use optional package

Muscular Actuations for Walking Subject

show,H2OAutoML-method

Format AutoML object in user-friendly way

model_cache-class

Needed to be able to memoise the models

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

Print An H2OFrame

h2o.varimp_plot

Plot Variable Importances

Which indice contains the max value?

predict_leaf_node_assignment.H2OModel

Predict the Leaf Node Assignment on an H2O Model

Which index contains the min value?

show,H2OParetoFront-method

Show H2OParetoFront

Check if numeric

Plot an H2O Model

plot.H2OInfogram

Plot an H2O Infogram

Scaling and Centering of an H2OFrame

Range of an H2O Column

Display the structure of an H2OFrame object