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h2o (version 3.34.0.6)

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, Maximum R GLM (maxrglm), Word2Vec, as well as a fully automatic machine learning algorithm (H2O AutoML).

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Install

install.packages('h2o')

Monthly Downloads

10,985

Version

3.34.0.6

License

Apache License (== 2.0)

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Repository

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

Maintainer

Erin LeDell

Last Published

December 17th, 2021

Functions in h2o (3.34.0.6)

H2OAutoML-class

The H2OAutoML class

The H2OFrame class

H2OConnectionMutableState

The H2OConnectionMutableState class

S3 Group Generic Functions for H2O

H2OCoxPHModel-class

The H2OCoxPHModel object.

H2OClusteringModel-class

The H2OClusteringModel object.

H2OFrame-Extract

Extract or Replace Parts of an H2OFrame Object

H2OConnection-class

The H2OConnection class.

H2OLeafNode-class

The H2OLeafNode class.

The H2OModel object.

Starting H2O For examples

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.

The H2ONode class.

Logical and for H2OFrames

H2OSegmentModels-class

H2O Segment Models

H2OModelFuture-class

H2O Future Model

H2OSplitNode-class

The H2OSplitNode class.

H2OSegmentModelsFuture-class

H2O Future Segment Models

The H2OTree class.

H2OModelMetrics-class

The H2OModelMetrics Object.

as.data.frame.H2OSegmentModels

Converts a collection of Segment Models to a data.frame

as.data.frame.H2OFrame

Converts parsed H2O data into an R data frame

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

Accessor Methods for H2OModel Object

Virtual Keyed class

Logical or for H2OFrames

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

Apply on H2O Datasets

as.character.H2OFrame

Convert an H2OFrame to a String

Convert H2O Data to Factors

Has the model variable importance?

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

Helper Collapse Function

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

dimnames.H2OFrame

Column names of an H2OFrame

.h2o.__ALL_CAPABILITIES

Capabilities endpoints

as.vector.H2OFrame

Convert an H2OFrame to a vector

.get_feature_count

Get feature count sorted by the count descending.

.get_first_of_family

Get first of family models

Australia Coastal Data

Create H2OFrame

Import/Export Endpoints

.skip_if_not_developer

H2O <-> R Communication and Utility Methods

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

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

Administrative Endpoints

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

Returns the column names of an H2OFrame

Returns the Dimensions of an H2OFrame

Get the algoritm used by the model_or_model_id

as.matrix.H2OFrame

Convert an H2OFrame to a matrix

.customized_call

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

Rapids Endpoint

.h2o.__LOGANDECHO

Log and Echo Endpoint

.h2o.__CREATE_FRAME

H2OFrame Manipulation

.h2o.__PARSE_SETUP

Parse Endpoints

.h2o.perfect_auc

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

.is_h2o_tree_model

Is the model a Tree-based H2O Model?

Is the model an H2O model?

.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.

Compute the absolute value of x

h2o.HGLMMetrics

Retrieve HGLM ModelMetrics

Convert H2O Data to Numeric

.create_leaderboard

Create a leaderboard like data frame for models

.h2o.__DECRYPTION_SETUP

Decryption Endpoints

.consolidate_varimps

Consolidate variable importances

.h2o.__EXPORT_FILES

Export Files Endpoint Generator

.find_appropriate_column_name

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

Min-max normalization.

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.

Inspect/Summary Endpoints

.shorten_model_ids

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

h2o.aggregated_frame

Retrieve an aggregated frame from an Aggregator model

Compute the arc cosine of x

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

.h2o.__MODEL_BUILDERS

Model Builder Endpoint Generator

.h2o.__MODEL_METRICS

Model Metrics Endpoint

.get_domain_mapping

Get a mapping between columns and their domains

.h2o.__checkConnectionHealth

Check H2O Server Health

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

.h2o.__W2V_SYNONYMS

Word2Vec Endpoints

Anomaly Detection via H2O Deep Learning Model

.h2o.doSafePOST

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

feature_frequencies.H2OModel

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

H2O R Interface

Removal Endpoints

.h2o.__REST_API_VERSION

H2O Package Constants

Perform a REST API request to a previously connected server.

Rename an H2O object.

Retrieve the Model Centers STD

h2o.cross_validation_holdout_predictions

Retrieve the cross-validation holdout predictions

Check H2OFrame columns for factors

Convert H2O Data to Numerics

Retrieve the Model Centers

h2o.cross_validation_fold_assignment

Retrieve the cross-validation fold assignment

h2o.downloadCSV

Download H2O Data to Disk

generate_col_ind

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

Retrieve the AUC

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.

h2o.clusterIsUp

Determine if an H2O cluster is up or not

Retrieve the AUCPR (Area Under Precision Recall Curve)

Correlation of columns.

Return the cumulative min over a column or across a row

h2o.clusterInfo

Print H2O cluster info

Connect to a running H2O instance.

Return the cumulative max over a column or across a row

h2o.ascharacter

Convert H2O Data to Characters

Return the respective bias vector

Convert H2O Data to Factors

h2o.centroid_stats

Retrieve centroid statistics

Return the cumulative product over a column or across a row

Compute the cosine of x

Cut H2O Numeric Data to Factor

Compute the hyperbolic cosine of x

Return the cumulative sum over a column or across a row

H2O Description of A Dataset

h2o.download_mojo

Download the model in MOJO format.

Conduct a lag 1 transform on a numeric H2OFrame column

Convert Milliseconds to Day of Month in H2O Datasets

Delete All H2O R Logs

Compute DCT of an H2OFrame

Convert Milliseconds to Day of Week in H2O Datasets

h2o.feature_interaction

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

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

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

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

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

Column names of an H2OFrame

.h2o.__SEGMENT_MODELS_BUILDERS

Segment Models Builder Endpoint Generator

h2o.downloadAllLogs

Download H2O Log Files to Disk

Compute the exponential function of x

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

h2o.download_model

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

Generate Model Explanations

h2o.get_segment_models

Retrieves an instance of '>H2OSegmentModels for a given id.

h2o.import_hive_table

Import Hive Table into H2O

h2o.get_ntrees_actual

Retrieve actual number of trees for tree algorithms

Import Files into H2O

h2o.getConnection

Retrieve an H2O Connection

h2o.genericModel

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

h2o.getAlphaBest

Extract best alpha value found from glm model.

.is_plotting_to_rnotebook

Check if we are plotting in to r notebook.

.h2o.primitives

Map of operations known to H2O

Get an R reference to an H2O model

String Global Substitute

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.

Get an R object that is a subclass of '>H2OAutoML

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

h2o.getTimezone

Get the Time Zone on the H2O cluster Returns a string

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.

Generalized low rank decomposition of an H2O data frame

Get the types-per-column

Get variable importance in a standardized way.

Build an Aggregated Frame

.leaderboard_for_row

Enhance leaderboard with per-model predictions.

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

h2o.download_pojo

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

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

Plot variable importances with ggplot2

.h2o.is_progress

Check if Progress Bar is Enabled

The H2O Package Environment

Sorts an H2O frame by columns

Retrieve the Akaike information criterion (AIC) value

h2o.import_mojo

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

Check if factor

h2o.import_sql_select

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

Search for matches to an argument pattern

Convert between character representations and objects of Date class

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

h2o.confusionMatrix

Access H2O Confusion Matrices

h2o.computeGram

Compute weighted gram matrix.

Combine H2O Datasets by Columns

h2o.interaction

Categorical Interaction Feature Creation in H2O

h2o.findSynonyms

Find synonyms using a word2vec model.

h2o.filterNACols

Filter NA Columns

h2o.cross_validation_models

Retrieve the cross-validation models

h2o.kfold_column

Produce a k-fold column vector.

Check Client Mode Connection

h2o.clusterStatus

Return the status of the cluster

Automatic Machine Learning

Get the between cluster sum of squares

h2o.cluster_sizes

Retrieve the cluster sizes

Compute the logarithm of x

H2O Model Metric Accessor Functions

Compute the log10 of x

h2o.ischaracter

Check if character

Returns the minima of the input values.

h2o.model_correlation_heatmap

Model Prediction Correlation Heatmap

Dump the stack into the JVM's stdout.

Fit a General Additive Model

Access H2O Gains/Lift Tables

h2o.getGLMFullRegularizationPath

Extract full regularization path from a GLM model

h2o.list_core_extensions

List registered core extensions

h2o.columns_by_type

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

h2o.createFrame

Data H2OFrame Creation in H2O

h2o.deeplearning

Build a Deep Neural Network model using CPUs

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

h2o.deepfeatures

Feature Generation via H2O Deep Learning

Return column names of an H2OFrame

h2o.cross_validation_predictions

Retrieve the cross-validation predictions

Shannon entropy

h2o.drop_duplicates

Drops duplicated rows.

Check if numeric

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

h2o.list_api_extensions

List registered API extensions

h2o.list_all_extensions

List all H2O registered extensions

Split H2O Dataset, Apply Function, and Return Results

Export a Model to HDFS

h2o.find_row_by_threshold

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

h2o.extendedIsolationForest

Trains an Extended Isolation Forest model

h2o.decryptionSetup

Setup a Decryption Tool

h2o.find_threshold_by_max_metric

Find the threshold, give the max metric

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.getLambdaMax

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

h2o.mojo_predict_csv

H2O Prediction from R without having H2O running

Return the number of rows present in x.

h2o.list_models

Get an list of all model ids present in the cluster

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.

List Keys on an H2O Cluster

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

Strip set from left

Plot Individual Conditional Expectation (ICE) for each decile

H2O Grid Support

Group and Apply by Column

h2o.isolationForest

Trains an Isolation Forest model

H2O Apply Conditional Statement

Return list of jobs performed by the H2O cluster

Returns the maxima of the input values.

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.

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

Performs k-means clustering on an H2O dataset

Method on Keyed objects allowing to obtain their key.

h2o.kolmogorov_smirnov

Kolmogorov-Smirnov metric for binomial models

Build gradient boosted classification or regression trees

h2o.permutation_importance

Calculate Permutation Feature Importance.

h2o.null_deviance

Retrieve the null deviance

h2o.permutation_importance_plot

Plot Permutation Variable Importances.

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

Merge Two H2O Data Frames

h2o.get_best_model

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

Retrieve the GINI Coefficcient

h2o.getLambdaBest

Extract best lambda value found from glm model.

h2o.get_best_model_predictors

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

H2O MaxRGLM is used to build test best model with one predictor, two predictors, ... up to max_predictor_number specified in the algorithm parameters. The best model is the one with the highest R2 value.

h2o.mojo_predict_df

H2O Prediction from R without having H2O running

h2o.mean_residual_deviance

Retrieve the Mean Residual Deviance value

h2o.get_best_r2_values

Extracts the best R2 values for all predictor subset size.

Compute the log1p of x

Fit a generalized linear model

h2o.predict_json

H2O Prediction from R without having H2O running

Retrieve the Root Mean Squared Log Error

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.

Predict on an H2O Model

Basic Imputation of H2O Vectors

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

Retrieves Root Mean Squared Error Value

Store frame data in H2O's native format.

h2o.import_sql_table

Import SQL Table into H2O

Return the number of columns present in x.

Trains a Support Vector Machine model on an H2O dataset

Retrieve the R2 value

h2o.networkTest

View Network Traffic Speed

Quantiles of H2O Frames.

Kurtosis of a column

h2o.learning_curve_plot

Learning Curve Plot

Load frame previously stored in H2O's native format.

Retrieve the Mean Absolute Error Value

Load H2O Model from HDFS or Local Disk

h2o.randomForest

Build a Random Forest model

Compute the log2 of x

h2o.residual_deviance

Retrieve the residual deviance

Strip set from right

Retrieve the standard deviations of principal components

h2o.residual_analysis_plot

Residual Analysis

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

Set Levels of H2O Factor Column

Save an H2O Model Object as Mojo to Disk

h2o.save_to_hive

Save contents of this data frame into a Hive table

Scaling and Centering of an H2OFrame

Skewness of a column

h2o.makeGLMModel

Set betas of an existing H2O GLM Model

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.

Compute msec since the Unix Epoch

Remove Rows With NAs

h2o.model_correlation

Model Prediction Correlation

Display the structure of an H2OFrame object

Split an H2O Data Set

h2o.stopLogging

Stop Writing H2O R Logs

h2o.make_metrics

Create Model Metrics from predicted and actual values in H2O

Value Matching in H2O

Get the number of factor levels for this frame.

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

Shut Down H2O Instance

Compute the hyperbolic tangent of x

h2o.show_progress

Enable Progress Bar

h2o.target_encode_create

Create Target Encoding Map

h2o.no_progress

Disable Progress Bar

h2o.mean_per_class_error

Retrieve the mean per class error

h2o.partialPlot

Partial Dependence Plots

Return the Head or Tail of an H2O Dataset.

h2o.get_leaderboard

Retrieve the leaderboard from the AutoML instance.

Compute A Histogram

h2o.num_iterations

Retrieve the number of iterations.

Retrieve the null degrees of freedom

Compute naive Bayes probabilities on an H2O dataset.

Count of NAs per column

h2o.hit_ratio_table

Retrieve the Hit Ratios

Convert Milliseconds to Hour of Day in H2O Datasets

h2o.target_encode_apply

Apply Target Encoding Map to Frame

Plot partial dependence for a variable

Convert Milliseconds to Months in H2O Datasets

h2o.performance

Model Performance Metrics in H2O

h2o.insertMissingValues

Insert Missing Values into an H2OFrame

Return the levels from the column requested column.

Initialize and Connect to H2O

h2o.num_valid_substrings

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

View H2O R Logs

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

h2o.transform,H2OWordEmbeddingModel-method

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

h2o.transform_word2vec

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

Use H2O Transformation model and apply the underlying transformation

h2o.proj_archetypes

Convert Archetypes to Features from H2O GLRM Model

Log a message on the server-side logs

h2o.listTimezones

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

Which index contains the min value?

Get the Within SS

h2o.xgboost.available

Determines whether an XGBoost model can be built

Principal component analysis of an H2O data frame

Remove All Objects on the H2O Cluster

Execute a Rapids expression.

Delete Columns from an H2OFrame

h2o.shap_explain_row_plot

SHAP Local Explanation

String Substitute

h2o.shap_summary_plot

SHAP Summary Plot

Get the total sum of squares.

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.targetencoder

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

Convert strings to uppercase

Combine H2O Datasets by Rows

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.

Print An H2OFrame

h2o.pd_multi_plot

Plot partial dependencies for a variable across multiple models

Delete Objects In H2O

Resume previously stopped grid training.

h2o.upload_mojo

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

Convert Milliseconds to Years in H2O Datasets

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

h2o.reconstruct

Reconstruct Training Data via H2O GLRM Model

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

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

h2o.residual_dof

Retrieve the residual degrees of freedom

Retrieves Mean Squared Error Value

Retrieve the Log Loss Value

Build a RuleFit Model

Produce a Vector of Random Uniform Numbers

Cross Tabulation and Table Creation in H2O

h2o.varimp,H2OFrame-method

Retrieve the variable importance.

Which indices are TRUE?

predict.H2OModel

Predict on an H2O Model

Check if character

Which indice contains the max value?

Check if factor

predict_contributions.H2OModel

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

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.varimp,H2OModel-method

Retrieve the variable importance.

Retrieve the respective weight matrix

Convert Milliseconds to Week of Week Year in H2O Datasets

Column names of an H2OFrame

summary,H2OGrid-method

Format grid object in user-friendly way

summary,H2OCoxPHModel-method

Summary method for H2OCoxPHModel objects

Get a parse setup back for the staged data.

Replicate Elements of Vectors or Lists into H2O

H2O Data Parsing

Save an H2O Model Object to Disk

Saves an existing Grid of models into a given folder.

Standard Deviation of a column of data.

h2o.saveModelDetails

Save an H2O Model Details

h2o.reset_threshold

Reset model threshold and return old threshold value.

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

Build an eXtreme Gradient Boosting model

predict_leaf_node_assignment.H2OModel

Predict the Leaf Node Assignment on an H2O Model

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

Range of an H2O Column

Scaling and Centering of an H2OFrame

Print An H2OFrame

Muscular Actuations for Walking Subject

h2o.set_s3_credentials

Creates a new Amazon S3 client internally with specified credentials.

h2o.setTimezone

Set the Time Zone on the H2O cluster

Compute the square root of x

h2o.scoreHistory

Retrieve Model Score History

h2o.scoreHistoryGAM

Retrieve GLM Model Score History buried in GAM model

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

h2o.stackedEnsemble

Builds a Stacked Ensemble

with_no_h2o_progress

Suppresses h2o progress output from expr

Convert a word2vec model into an H2OFrame

h2o.tot_withinss

Get the total within cluster sum of squares.

Compute element-wise string distances between two H2OFrames

Truncate values in x toward 0

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

h2o.startLogging

Start Writing H2O R Logs

Compute the sine of x

h2o.varimp_plot

Plot Variable Importances

Column names of an H2OFrame

Variance of a column or covariance of columns.

Tabulation between Two Columns of an H2OFrame

h2o.train_segments

H2O Segmented-Data Bulk Model Training

h2o.varimp,H2OAutoML-method

Retrieve the variable importance.

Compute the tangent of x

h2o.std_coef_plot

Plot Standardized Coefficient Magnitudes

h2o.transform,H2OTargetEncoderModel-method

Applies target encoding to a given dataset

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.)

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

Plot an H2O Model

Retrieve the variable importance.

Tokenize String

Summarizes the columns of an H2OFrame.

Convert strings to lowercase

Check if numeric

Prostate Cancer Study

Is H2O Frame object

h2o.varimp_heatmap

Variable Importance Heatmap across multiple models

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

Edgar Anderson's Iris Data

United States Congressional Voting Records 1984

Print method for H2OTable objects

predict.H2OAutoML

Predict on an AutoML object

Display the structure of an H2OFrame object

plot.H2OTabulate

Plot an H2O Tabulate Heatmap

Use optional package

summary,H2OModel-method

Print the Model Summary

summary,H2OAutoML-method

Format AutoML object in user-friendly way

Shutdown H2O cluster after examples run

staged_predict_proba.H2OModel

Predict class probabilities at each stage of an H2O Model

show,H2OAutoML-method

Format AutoML object in user-friendly way