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h2o (version 3.30.1.2)

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), Cox Proportional Hazards, K-Means, PCA, Word2Vec, as well as a fully automatic machine learning algorithm (H2O AutoML).

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install.packages('h2o')

Monthly Downloads

8,212

Version

3.30.1.2

License

Apache License (== 2.0)

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Repository

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

Maintainer

Erin LeDell

Last Published

September 12th, 2020

Functions in h2o (3.30.1.2)

H2OAutoML-class

The H2OAutoML class

H2OConnection-class

The H2OConnection class.

H2OCoxPHModel-class

The H2OCoxPHModel object.

H2OClusteringModel-class

The H2OClusteringModel object.

The H2OFrame class

H2OFrame-Extract

Extract or Replace Parts of an H2OFrame Object

H2OConnectionMutableState

The H2OConnectionMutableState class

S3 Group Generic Functions for H2O

H2OCoxPHModelSummary-class

The H2OCoxPHModelSummary object.

Apply on H2O Datasets

as.vector.H2OFrame

Convert an H2OFrame to a vector

H2OSplitNode-class

The H2OSplitNode class.

H2OSegmentModelsFuture-class

H2O Future Segment Models

H2OLeafNode-class

The H2OLeafNode class.

Removal Endpoints

H2OSegmentModels-class

H2O Segment Models

The H2ONode class.

Australia Coastal Data

The H2OModel object.

The H2OTree class.

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

.h2o.__EXPORT_FILES

Export Files Endpoint Generator

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

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

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

H2OModelFuture-class

H2O Future Model

as.data.frame.H2OFrame

Converts parsed H2O data into an R data frame

Virtual Keyed class

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.

Accessor Methods for H2OModel Object

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

as.character.H2OFrame

Convert an H2OFrame to a String

Logical or for H2OFrames

dimnames.H2OFrame

Column names of an H2OFrame

H2O R Interface

as.matrix.H2OFrame

Convert an H2OFrame to a matrix

h2o.centroid_stats

Retrieve centroid statistics

Delete All H2O R Logs

.h2o.__CREATE_FRAME

H2OFrame Manipulation

Convert H2O Data to Numeric

.h2o.__MODEL_METRICS

Model Metrics Endpoint

.h2o.perfect_auc

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

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

Build an Aggregated Frame

as.data.frame.H2OSegmentModels

Converts a collection of Segment Models to a data.frame

.h2o.__DECRYPTION_SETUP

Decryption Endpoints

.h2o.__PARSE_SETUP

Parse Endpoints

Returns the column names of an H2OFrame

Retrieve the Akaike information criterion (AIC) value

Rename an H2O object.

Convert H2O Data to Numerics

h2o.clusterIsUp

Determine if an H2O cluster is up or not

Get the between cluster sum of squares

h2o.clusterInfo

Print H2O cluster info

Automatic Machine Learning

H2OModelMetrics-class

The H2OModelMetrics Object.

Logical and for H2OFrames

Starting H2O For examples

Returns the Dimensions of an H2OFrame

Rapids Endpoint

h2o.cross_validation_models

Retrieve the cross-validation models

h2o.cross_validation_predictions

Retrieve the cross-validation predictions

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

h2o.confusionMatrix

Access H2O Confusion Matrices

h2o.downloadAllLogs

Download H2O Log Files to Disk

h2o.computeGram

Compute weighted gram matrix.

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

Export a Model to HDFS

.h2o.__REST_API_VERSION

H2O Package Constants

h2o.HGLMMetrics

Retrieve HGLM ModelMetrics

.h2o.__checkConnectionHealth

Check H2O Server Health

.h2o.__MODEL_BUILDERS

Model Builder Endpoint Generator

Convert H2O Data to Factors

h2o.ascharacter

Convert H2O Data to Characters

Retrieve the Model Centers

Convert H2O Data to Factors

Compute the absolute value of x

Retrieve the Model Centers STD

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

Helper Collapse Function

Administrative Endpoints

Create H2OFrame

.h2o.primitives

Map of operations known to H2O

h2o.filterNACols

Filter NA Columns

h2o.findSynonyms

Find synonyms using a word2vec model.

h2o.getConnection

Retrieve an H2O Connection

h2o.genericModel

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

Shannon entropy

h2o.drop_duplicates

Drops duplicated rows.

Column names of an H2OFrame

.h2o.doSafePOST

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

.h2o.is_progress

Check if Progress Bar is Enabled

.h2o.__LOGANDECHO

Log and Echo Endpoint

Build gradient boosted classification or regression trees

.h2o.__ALL_CAPABILITIES

Capabilities endpoints

feature_frequencies.H2OModel

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

Check Client Mode Connection

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.__SEGMENT_MODELS_BUILDERS

Segment Models Builder Endpoint Generator

.skip_if_not_developer

H2O <-> R Communication and Utility Methods

Import/Export Endpoints

Inspect/Summary Endpoints

The H2O Package Environment

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

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

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.createFrame

Data H2OFrame Creation in H2O

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

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

Method on Keyed objects allowing to obtain their key.

h2o.kfold_column

Produce a k-fold column vector.

Compute the arc cosine of x

h2o.aggregated_frame

Retrieve an aggregated frame from an Aggregator model

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

Anomaly Detection via H2O Deep Learning Model

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

h2o.getTimezone

Get the Time Zone on the H2O cluster Returns a string

Return the respective bias vector

Check H2OFrame columns for factors

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

Convert Milliseconds to Day of Month in H2O Datasets

h2o.decryptionSetup

Setup a Decryption Tool

Split H2O Dataset, Apply Function, and Return Results

Cut H2O Numeric Data to Factor

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

Load H2O Model from HDFS or Local Disk

Connect to a running H2O instance.

Return the cumulative max over a column or across a row

Correlation of columns.

Return the cumulative min over a column or across a row

Returns the maxima of the input values.

Get the types-per-column

Get h2o version

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

Sorts an H2O frame by columns

h2o.import_hive_table

Import Hive Table into H2O

Retrieve the AUC

Retrieve the AUCPR (Area Under Precision Recall Curve)

Convert between character representations and objects of Date class

h2o.deepfeatures

Feature Generation via H2O Deep Learning

Combine H2O Datasets by Columns

h2o.import_mojo

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

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

h2o.deeplearning

Build a Deep Neural Network model using CPUs

Compute the exponential function of x

h2o.find_threshold_by_max_metric

Find the threshold, give the max metric

h2o.find_row_by_threshold

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

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

h2o.ischaracter

Check if character

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

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

h2o.clusterStatus

Return the status of the cluster

h2o.get_segment_models

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

H2O Apply Conditional Statement

Retrieve the GINI Coefficcient

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

Import Files into H2O

h2o.mean_per_class_error

Retrieve the mean per class error

h2o.cluster_sizes

Retrieve the cluster sizes

h2o.cross_validation_fold_assignment

Retrieve the cross-validation fold assignment

Return column names of an H2OFrame

Compute the log10 of x

Check if factor

Log a message on the server-side logs

Returns the minima of the input values.

Retrieve the Log Loss Value

Compute the logarithm of x

Compute msec since the Unix Epoch

h2o.null_deviance

Retrieve the null deviance

h2o.get_leaderboard

Retrieve the leaderboard from the AutoML instance.

h2o.cross_validation_holdout_predictions

Retrieve the cross-validation holdout predictions

Retrieve the null degrees of freedom

h2o.get_ntrees_actual

Retrieve actual number of trees for tree algorithms

h2o.mean_residual_deviance

Retrieve the Mean Residual Deviance value

Column names of an H2OFrame

Principal component analysis of an H2O data frame

Get a parse setup back for the staged data.

Compute naive Bayes probabilities on an H2O dataset.

h2o.partialPlot

Partial Dependence Plots

Remove All Objects on the H2O Cluster

Predict on an H2O Model

Delete Columns from an H2OFrame

h2o.columns_by_type

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

Group and Apply by Column

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.)

Retrieve the variable importance.

Compute the hyperbolic tangent of x

Compute element-wise string distances between two H2OFrames

Variance of a column or covariance of columns.

h2o.upload_mojo

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

Check if character

h2o.target_encode_apply

Apply Target Encoding Map to Frame

Return the cumulative product over a column or across a row

h2o.predict_json

H2O Prediction from R without having H2O running

String Global Substitute

predict_contributions.H2OModel

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

predict_leaf_node_assignment.H2OModel

Predict the Leaf Node Assignment on an H2O Model

Check if factor

show,H2OAutoML-method

Format AutoML object in user-friendly way

Scaling and Centering of an H2OFrame

h2o.reset_threshold

Reset model threshold and return old threshold value.

Print An H2OFrame

Replicate Elements of Vectors or Lists into H2O

Saves an existing Grid of models into a given folder.

Compute the cosine of x

Save an H2O Model Object to Disk

H2O Description of A Dataset

Conduct a lag 1 transform on a numeric H2OFrame column

Return the cumulative sum over a column or across a row

h2o.insertMissingValues

Insert Missing Values into an H2OFrame

h2o.download_mojo

Download the model in MOJO format.

Search for matches to an argument pattern

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

h2o.download_pojo

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

H2O Grid Support

Compute the hyperbolic cosine of x

Convert Milliseconds to Day of Week in H2O Datasets

Skewness of a column

Basic Imputation of H2O Vectors

Initialize and Connect to H2O

Convert Milliseconds to Hour of Day in H2O Datasets

h2o.import_sql_table

Import SQL Table into H2O

h2o.listTimezones

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

h2o.list_api_extensions

List registered API extensions

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

Return the levels from the column requested column.

h2o.hit_ratio_table

Retrieve the Hit Ratios

Retrieve the Mean Absolute Error Value

h2o.interaction

Categorical Interaction Feature Creation in H2O

h2o.makeGLMModel

Set betas of an existing H2O GLM Model

Compute DCT of an H2OFrame

h2o.downloadCSV

Download H2O Data to Disk

h2o.download_model

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

Access H2O Gains/Lift Tables

Fit a generalized linear model

h2o.getModelTree

Fetchces a single tree of a H2O model. This function is intended to be used on Gradient Boosting Machine models or Distributed Random Forest models.

Get an R reference to an H2O model

Fit a General Additive Model

Check if numeric

Merge Two H2O Data Frames

Split an H2O Data Set

Kurtosis of a column

h2o.kolmogorov_smirnov

Kolmogorov-Smirnov metric for binomial models

Generalized low rank decomposition of an H2O data frame

h2o.mojo_predict_csv

H2O Prediction from R without having H2O running

H2O Model Metric Accessor Functions

Return the Head or Tail of an H2O Dataset.

Convert Milliseconds to Months in H2O Datasets

h2o.mojo_predict_df

H2O Prediction from R without having H2O running

h2o.isolationForest

Trains an Isolation Forest model

Count of NAs per column

Remove Rows With NAs

Compute A Histogram

h2o.stopLogging

Stop Writing H2O R Logs

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

Display the structure of an H2OFrame object

Dump the stack into the JVM's stdout.

h2o.list_core_extensions

List registered core extensions

Retrieves Mean Squared Error Value

Return list of jobs performed by the H2O cluster

h2o.targetencoder

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

h2o.target_encode_transform

Deprecated API. Please use h2o.targetencoder model instead. Transform Frame by Target Encoding Map

Cross Tabulation and Table Creation in H2O

View H2O R Logs

Quantiles of H2O Frames.

H2O Data Parsing

Trains a Support Vector Machine model on an H2O dataset

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.

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

Which indice contains the max value?

h2o.num_iterations

Retrieve the number of iterations.

Performs k-means clustering on an H2O dataset

Delete Objects In H2O

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

Strip set from left

Compute the log1p of x

Compute the log2 of x

List Keys on an H2O Cluster

Plot an H2O Model

plot.H2OTabulate

Plot an H2O Tabulate Heatmap

h2o.networkTest

View Network Traffic Speed

Get the number of factor levels for this frame.

h2o.make_metrics

Create Model Metrics from predicted and actual values in H2O

h2o.saveModelDetails

Save an H2O Model Details

Retrieves Root Mean Squared Error Value

Execute a Rapids expression.

h2o.residual_deviance

Retrieve the residual deviance

h2o.residual_dof

Retrieve the residual degrees of freedom

Combine H2O Datasets by Rows

h2o.num_valid_substrings

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

Save an H2O Model Object as Mojo to Disk

Value Matching in H2O

Return the number of columns present in x.

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

h2o.show_progress

Enable Progress Bar

h2o.startLogging

Start Writing H2O R Logs

Shut Down H2O Instance

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

h2o.no_progress

Disable Progress Bar

Return the number of rows present in x.

h2o.proj_archetypes

Convert Archetypes to Features from H2O GLRM Model

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

h2o.save_to_hive

Save contents of this data frame into a Hive table

Compute the sine of x

Summarizes the columns of an H2OFrame.

h2o.transform,H2OWordEmbeddingModel-method

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

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

h2o.tot_withinss

Get the total within cluster sum of squares.

h2o.reconstruct

Reconstruct Training Data via H2O GLRM Model

h2o.std_coef_plot

Plot Standardized Coefficient Magnitudes

Tabulation between Two Columns of an H2OFrame

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

Retrieve the Root Mean Squared Log Error

Get the total sum of squares.

h2o.transform_word2vec

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

Compute the tangent of x

Convert strings to uppercase

Which index contains the min value?

Use H2O Transformation model and apply the underlying transformation

Get the Within SS

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

h2o.varimp_plot

Plot Variable Importances

Build an eXtreme Gradient Boosting model

h2o.randomForest

Build a Random Forest model

Produce a Vector of Random Uniform Numbers

Retrieve the R2 value

h2o.performance

Model Performance Metrics in H2O

Strip set from right

Scaling and Centering of an H2OFrame

h2o.setTimezone

Set the Time Zone on the H2O cluster

h2o.scoreHistory

Retrieve Model Score History

h2o.set_s3_credentials

Creates a new Amazon S3 client internally with specified credentials.

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 numeric

Use optional package

Is H2O Frame object

staged_predict_proba.H2OModel

Predict class probabilities at each stage of an H2O Model

Display the structure of an H2OFrame object

Muscular Actuations for Walking Subject

length,H2OTree-method

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

Column names of an H2OFrame

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

String Substitute

Prostate Cancer Study

Shutdown H2O cluster after examples run

Range of an H2O Column

h2o.target_encode_create

Create Target Encoding Map

h2o.scoreHistoryGAM

Retrieve GLM Model Score History buried in GAM model

Standard Deviation of a column of data.

Retrieve the standard deviations of principal components

Set Levels of H2O Factor Column

Compute the square root of x

h2o.target_encode_fit

Deprecated API. Please use h2o.targetencoder model instead.

h2o.stackedEnsemble

Builds a Stacked Ensemble

h2o.transform,H2OTargetEncoderModel-method

Applies target encoding to a given dataset

Convert strings to lowercase

Tokenize String

h2o.train_segments

H2O Segmented-Data Bulk Model Training

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

Truncate values in x toward 0

Convert a word2vec model into an H2OFrame

Convert Milliseconds to Week of Week Year in H2O Datasets

Retrieve the respective weight matrix

United States Congressional Voting Records 1984

Edgar Anderson's Iris Data

predict.H2OModel

Predict on an H2O Model

predict.H2OAutoML

Predict on an AutoML object

Print method for H2OTable objects

summary,H2OCoxPHModel-method

Summary method for H2OCoxPHModel objects

Convert Milliseconds to Years in H2O Datasets

Print An H2OFrame

summary,H2OAutoML-method

Format AutoML object in user-friendly way

h2o.xgboost.available

Determines whether an XGBoost model can be built

summary,H2OGrid-method

Format grid object in user-friendly way

summary,H2OModel-method

Print the Model Summary