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h2o (version 3.28.0.2)

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, Gradient Boosting Machines (including XGBoost), Random Forests, Deep Neural Networks (Deep Learning), Stacked Ensembles, Naive Bayes, Cox Proportional Hazards, K-Means, PCA, Word2Vec, as well as a fully automatic machine learning algorithm (AutoML).

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Install

install.packages('h2o')

Monthly Downloads

8,212

Version

3.28.0.2

License

Apache License (== 2.0)

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Stars

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Repository

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

Maintainer

Erin LeDell

Last Published

January 22nd, 2020

Functions in h2o (3.28.0.2)

H2OFrame-Extract

Extract or Replace Parts of an H2OFrame Object

S3 Group Generic Functions for H2O

The H2ONode class.

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

H2OSplitNode-class

The H2OSplitNode class.

Create H2OFrame

.h2o.__ALL_CAPABILITIES

Capabilities endpoints

The H2OModel object.

as.data.frame.H2OFrame

Converts parsed H2O data into an R data frame

H2OLeafNode-class

The H2OLeafNode class.

The H2OFrame class

h2o.getConnection

Retrieve an H2O Connection

Convert H2O Data to Factors

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

.h2o.__MODEL_METRICS

Model Metrics Endpoint

dimnames.H2OFrame

Column names of an H2OFrame

as.matrix.H2OFrame

Convert an H2OFrame to a matrix

.h2o.__MODEL_BUILDERS

Model Builder Endpoint Generator

Returns the Dimensions of an H2OFrame

.h2o.__CREATE_FRAME

H2OFrame Manipulation

.h2o.doSafePOST

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

Administrative Endpoints

H2OCoxPHModel-class

The H2OCoxPHModel object.

.h2o.__DECRYPTION_SETUP

Decryption Endpoints

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

Anomaly Detection via H2O Deep Learning Model

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

h2o.deepfeatures

Feature Generation via H2O Deep Learning or DeepWater Model

Return column names of an H2OFrame

h2o.HGLMMetrics

Retrieve HGLM ModelMetrics

Import/Export Endpoints

Export a Model to HDFS

H2O R Interface

h2o.aggregated_frame

Retrieve an aggregated frame from an Aggregator model

H2OCoxPHModelSummary-class

The H2OCoxPHModelSummary object.

H2OAutoML-class

The H2OAutoML class

H2OConnection-class

The H2OConnection class.

H2OConnectionMutableState

The H2OConnectionMutableState class

Rename an H2O object.

Build an Aggregated Frame

Delete All H2O R Logs

Convert between character representations and objects of Date class

The H2OTree class.

Virtual Keyed class

Starting H2O For examples

Logical and for H2OFrames

Retrieve the AUC

Method on Keyed objects allowing to obtain their key.

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

h2o.clusterInfo

Print H2O cluster info

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

Get h2o version

h2o.decryptionSetup

Setup a Decryption Tool

h2o.import_mojo

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

Access H2O Gains/Lift Tables

Compute the hyperbolic cosine of x

Logical or for H2OFrames

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

Column names of an H2OFrame

The H2O Package Environment

Removal Endpoints

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

h2o.isolationForest

Trains an Isolation Forest model

Compute A Histogram

List Keys on an H2O Cluster

Build gradient boosted classification or regression trees

Check H2OFrame columns for factors

h2o.downloadAllLogs

Download H2O Log Files to Disk

feature_frequencies.H2OModel

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

.h2o.__EXPORT_FILES

Export Files Endpoint Generator

h2o.hit_ratio_table

Retrieve the Hit Ratios

Strip set from left

h2o.cluster_sizes

Retrieve the cluster sizes

Inspect/Summary Endpoints

h2o.columns_by_type

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

Retrieve the Akaike information criterion (AIC) value

Australia Coastal Data

as.vector.H2OFrame

Convert an H2OFrame to a vector

.h2o.is_progress

Check if Progress Bar is Enabled

.h2o.__checkConnectionHealth

Check H2O Server Health

h2o.download_model

Download the model in binary format.

Returns the minima of the input values.

.h2o.primitives

Map of operations known to H2O

h2o.clusterIsUp

Determine if an H2O cluster is up or not

Sorts an H2O frame by columns

.skip_if_not_developer

H2O <-> R Communication and Utility Methods

h2o.show_progress

Enable Progress Bar

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

Return the respective bias vector

H2OModelFuture-class

H2O Future Model

Retrieve the Model Centers

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

Get the between cluster sum of squares

H2OClusteringModel-class

The H2OClusteringModel object.

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

.h2o.__LOGANDECHO

Log and Echo Endpoint

h2o.import_sql_select

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

h2o.download_mojo

Download the model in MOJO format.

h2o.listTimezones

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

h2o.mean_residual_deviance

Retrieve the Mean Residual Deviance value

Return the levels from the column requested column.

h2o.null_deviance

Retrieve the null deviance

h2o.randomForest

Build a Random Forest model

h2o.predict_json

H2O Prediction from R without having H2O running

Build an eXtreme Gradient Boosting model

h2o.mean_per_class_error

Retrieve the mean per class error

h2o.ascharacter

Convert H2O Data to Characters

Apply on H2O Datasets

Convert Milliseconds to Day of Week in H2O Datasets

Convert Milliseconds to Day of Month in H2O Datasets

h2o.cross_validation_holdout_predictions

Retrieve the cross-validation holdout predictions

h2o.computeGram

Compute weighted gram matrix.

h2o.cross_validation_models

Retrieve the cross-validation models

h2o.downloadCSV

Download H2O Data to Disk

h2o.findSynonyms

Find synonyms using a word2vec model.

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

Accessor Methods for H2OModel Object

H2OModelMetrics-class

The H2OModelMetrics Object.

Compute msec since the Unix Epoch

h2o.clusterStatus

Return the status of the cluster

Connect to a running H2O instance.

h2o.confusionMatrix

Access H2O Confusion Matrices

Check if factor

Convert H2O Data to Numeric

Shut Down H2O Instance

Retrieve the null degrees of freedom

Replicate Elements of Vectors or Lists into H2O

Print An H2OFrame

Group and Apply by Column

as.character.H2OFrame

Convert an H2OFrame to a String

Standard Deviation of a column of data.

h2o.cross_validation_fold_assignment

Retrieve the cross-validation fold assignment

h2o.createFrame

Data H2OFrame Creation in H2O

Retrieve the R2 value

Build a Deep Learning model using multiple native GPU backends

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.deeplearning

Build a Deep Neural Network model using CPUs

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

Get an R reference to an H2O model

h2o.filterNACols

Filter NA Columns

Performs k-means clustering on an H2O dataset

h2o.download_pojo

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

Delete Columns from an H2OFrame

Display the structure of an H2OFrame object

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

Retrieve the standard deviations of principal components

Shannon entropy

h2o.target_encode_transform

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

Compute element-wise string distances between two H2OFrames

h2o.target_encode_fit

Deprecated API. Please use h2o.targetencoder model instead.

Check if character

Rapids Endpoint

generate_col_ind

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

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

h2o.get_leaderboard

Retrieve the leaderboard from the AutoML instance.

Convert Milliseconds to Hour of Day in H2O Datasets

Retrieve the GINI Coefficcient

H2O Grid Support

h2o.no_progress

Disable Progress Bar

h2o.performance

Model Performance Metrics in H2O

h2o.get_ntrees_actual

Retrieve actual number of trees for tree algorithms

.h2o.__PARSE_SETUP

Parse Endpoints

Convert H2O Data to Numerics

Returns the column names of an H2OFrame

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

h2o.transform,H2OTargetEncoderModel-method

Applies target encoding to a given dataset

h2o.list_core_extensions

List registered core extensions

Check if factor

Print method for H2OTable objects

h2o.upload_mojo

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

h2o.transform,H2OWordEmbeddingModel-method

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

Print An H2OFrame

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

Return the cumulative min over a column or across a row

Fit a generalized linear model

Merge Two H2O Data Frames

Check Client Mode Connection

Retrieves Mean Squared Error Value

h2o.cross_validation_predictions

Retrieve the cross-validation predictions

Initialize and Connect to H2O

h2o.insertMissingValues

Insert Missing Values into an H2OFrame

Convert Milliseconds to Months in H2O Datasets

h2o.interaction

Categorical Interaction Feature Creation in H2O

Helper Collapse Function

Compute the logarithm of x

Compute naive Bayes probabilities on an H2O dataset.

Log a message on the server-side logs

Retrieve the Log Loss Value

H2O Apply Conditional Statement

Truncate values in x toward 0

Check if numeric

Return list of jobs performed by the H2O cluster

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

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.

Kurtosis of a column

.h2o.__REST_API_VERSION

H2O Package Constants

.h2o.__W2V_SYNONYMS

Word2Vec Endpoints

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

Column names of an H2OFrame

Retrieve the AUCPR (Area Under Precision Recall Curve)

Return the number of rows present in x.

h2o.scoreHistory

Retrieve Model Score History

Delete Objects In H2O

Retrieves Root Mean Squared Error Value

h2o.set_s3_credentials

Creates a new Amazon S3 client internally with specified credentials.

h2o.reconstruct

Reconstruct Training Data via H2O GLRM Model

Scaling and Centering of an H2OFrame

Combine H2O Datasets by Rows

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

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

Compute the log10 of x

H2O Model Metric Accessor Functions

Skewness of a column

h2o.target_encode_apply

Apply Target Encoding Map to Frame

plot.H2OTabulate

Plot an H2O Tabulate Heatmap

Convert Milliseconds to Week of Week Year in H2O Datasets

Scaling and Centering of an H2OFrame

Convert strings to uppercase

Get the total sum of squares.

h2o.target_encode_create

Create Target Encoding Map

Retrieve the respective weight matrix

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

Plot an H2O Model

Convert H2O Data to Factors

h2o.getGLMFullRegularizationPath

Extract full regularization path from a GLM model

h2o.getFutureModel

Get future model

Correlation of columns.

Compute the absolute value of x

Retrieve the Model Centers STD

Compute the arc cosine of x

Automatic Machine Learning

Cut H2O Numeric Data to Factor

Display the structure of an H2OFrame object

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

String Global Substitute

Return the cumulative max over a column or across a row

Compute the cosine of x

h2o.deepwater.available

Determines whether Deep Water is available

Saves an existing Grid of models into a given folder.

View H2O R Logs

H2O Description of A Dataset

Return the cumulative sum over a column or across a row

Compute the exponential function of x

h2o.centroid_stats

Retrieve centroid statistics

Basic Imputation of H2O Vectors

Split H2O Dataset, Apply Function, and Return Results

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

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

staged_predict_proba.H2OModel

Predict class probabilities at each stage of an H2O Model

Combine H2O Datasets by Columns

Quantiles of H2O Frames.

h2o.find_row_by_threshold

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

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

Compute DCT of an H2OFrame

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

h2o.partialPlot

Partial Dependence Plots

Get a parse setup back for the staged data.

Return the number of columns present in x.

Retrieve the Root Mean Squared Log Error

h2o.proj_archetypes

Convert Archetypes to Features from H2O GLRM Model

h2o.kfold_column

Produce a k-fold column vector.

Conduct a lag 1 transform on a numeric H2OFrame column

Return the cumulative product over a column or across a row

Remove Rows With NAs

Return the Head or Tail of an H2O Dataset.

Compute the log1p of x

h2o.import_sql_table

Import SQL Table into H2O

Load H2O Model from HDFS or Local Disk

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

Dump the stack into the JVM's stdout.

summary,H2OCoxPHModel-method

Summary method for H2OCoxPHModel objects

Which indices are TRUE?

Use H2O Transformation model and apply the underlying transformation

Compute the tangent of x

Compute the sine of x

Save an H2O Model Object to Disk

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

United States Congressional Voting Records 1984

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

Shutdown H2O cluster after examples run

String Substitute

Edgar Anderson's Iris Data

Compute the hyperbolic tangent of x

h2o.networkTest

View Network Traffic Speed

Returns the maxima of the input values.

predict.H2OAutoML

Predict on an AutoML object

h2o.transform_word2vec

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

Convert a word2vec model into an H2OFrame

h2o.targetencoder

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

Count of NAs per column

Which indice contains the max value?

predict.H2OModel

Predict on an H2O Model

Compute the log2 of x

Get the number of factor levels for this frame.

Strip set from right

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.rank_within_group_by

This function will add a new column rank where the ranking is produced as follows: 1. sorts the H2OFrame by columns sorted in by columns specified in group_by_cols and sort_cols in the directions specified by the ascending for the sort_cols. The sort directions for the group_by_cols are ascending only. 2. A new rank column is added to the frame which will contain a rank assignment performed next. The user can choose to assign a name to this new column. The default name is New_Rank_column. 3. For each groupby groups, a rank is assigned to the row starting from 1, 2, ... to the end of that group. 4. If sort_cols_sorted is TRUE, a final sort on the frame will be performed frame according to the sort_cols and the sort directions in ascending. If sort_cols_sorted is FALSE (by default), the frame from step 3 will be returned as is with no extra sort. This may provide a small speedup if desired.

h2o.startLogging

Start Writing H2O R Logs

h2o.makeGLMModel

Set betas of an existing H2O GLM Model

H2O Data Parsing

Remove All Objects on the H2O Cluster

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

Check if numeric

Convert strings to lowercase

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

h2o.getTimezone

Get the Time Zone on the H2O cluster Returns a string

h2o.list_all_extensions

List all H2O registered extensions

Import Files into H2O

h2o.find_threshold_by_max_metric

Find the threshold, give the max metric

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.ischaracter

Check if character

Generalized low rank decomposition of an H2O data frame

h2o.genericModel

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

Get the types-per-column

Search for matches to an argument pattern

Trains a Support Vector Machine model on an H2O dataset

Split an H2O Data Set

h2o.import_hive_table

Import Hive Table into H2O

Predict on an H2O Model

Value Matching in H2O

Retrieve the Mean Absolute Error Value

h2o.make_metrics

Create Model Metrics from predicted and actual values in H2O

h2o.list_api_extensions

List registered API extensions

Set Levels of H2O Factor Column

Produce a Vector of Random Uniform Numbers

h2o.stackedEnsemble

Builds a Stacked Ensemble

Is H2O Frame object

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

Summarizes the columns of an H2OFrame.

Tokenize String

h2o.varimp_plot

Plot Variable Importances

h2o.setTimezone

Set the Time Zone on the H2O cluster

h2o.xgboost.available

Determines whether an XGBoost model can be built

h2o.num_iterations

Retrieve the number of iterations.

h2o.mojo_predict_csv

H2O Prediction from R without having H2O running

h2o.mojo_predict_df

H2O Prediction from R without having H2O running

Principal component analysis of an H2O data frame

h2o.saveModelDetails

Save an H2O Model Details

h2o.num_valid_substrings

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

h2o.residual_dof

Retrieve the residual degrees of freedom

h2o.std_coef_plot

Plot Standardized Coefficient Magnitudes

h2o.residual_deviance

Retrieve the residual deviance

Compute the square root of x

Convert Milliseconds to Years in H2O Datasets

summary,H2OGrid-method

Format grid object in user-friendly way

summary,H2OModel-method

Print the Model Summary

Retrieve the variable importance.

Prostate Cancer Study

Save an H2O Model Object as Mojo to Disk

Which index contains the min value?

predict_leaf_node_assignment.H2OModel

Predict the Leaf Node Assignment on an H2O Model

predict_contributions.H2OModel

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

length,H2OTree-method

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

Cross Tabulation and Table Creation in H2O

h2o.stopLogging

Stop Writing H2O R Logs

Column names of an H2OFrame

Tabulation between Two Columns of an H2OFrame

Variance of a column or covariance of columns.

h2o.tot_withinss

Get the total within cluster sum of squares.

Get the Within SS

Use optional package

Range of an H2O Column

Muscular Actuations for Walking Subject