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h2o (version 2.8.4.4)

H2O R Interface

Description

R scripting functionality for H2O, the open source math engine for big data that computes parallel distributed machine learning algorithms such as generalized linear models, gradient boosting machines, random forests, and neural networks (deep learning) within various cluster environments.

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Version

Install

install.packages('h2o')

Monthly Downloads

8,061

Version

2.8.4.4

License

Apache License (== 2.0)

Maintainer

Tom Kraljevic

Last Published

February 7th, 2015

Functions in h2o (2.8.4.4)

H2OSpeeDRFGrid-class

Class "H2ODRFGrid"

Class "H2OModel"

H2O R Interface

h2o.clusterStatus

Retrieve Status of H2O Cluster

Impute A Column of Data

Pattern Replacement

H2O: Naive Bayes Classifier

H2OClient-class

Class "H2OClient"

Produces a vector of specified length contain random uniform numbers

AAA_DownloadAndStartBeforeExamples

Download H2O jar file and Start H2O cloud before examples run (for H2O developers only)

as.data.frame.H2OParsedData

Converts a parsed H2O object to a data frame.

h2o.deepfeatures

Feature Generation via H2O Deep Learning Model

H2O: Single-Node Random Forest

Gains and Lift Charts

H2OPerfModel-class

Class "H2OPerfModel"

H2O: Gradient Boosted Machines

h2o.interaction

Create interaction terms between categorical features of an H2O Frame

Connect to H2O and Install R Package

H2O: Cox Proportional Hazards Models

Tells user if given column is categorical data or not.

Obtain a list of H2O keys from the running instance of H2O

Pattern Replacement

plot.H2OGapStatModel

Elbow Plots and Gap Measures

Rounding of Numbers

Returns column names for a parsed H2O data object.

Removes columns or vectors from H2OParsedData objects instead of making a copy of the data without the specified columns.

Rebalance a H2O data frame

mean.H2OParsedData

Arithmetic Mean of H2O Dataset

h2o.startLogging

Start Writing H2O R Logs

h2o.gapStatistic

Compute Gap Statistic from H2O Dataset

Parse Raw Data File

Get Reference to H2O Data Set

Write and Echo Message to H2O Log

Summarizes the columns of a H2O Dataset

screeplot.H2OPCAModel

Summarizes the columns of an H2O parsed FluidVecs data set.

Standard Deviation of a Numeric Column of H2O Data

strsplit.H2OParsedData

Split the Elements of a Character Vector

H2ODRFModel-class

Class "H2ODRFModel"

H2OKMeansModel-class

Class "H2OKMeansModel"

Applies a function over an H2O parsed data object.

H2OSpeeDRFModel-class

Class "H2OSpeeDRFModel"

H2ORawData-class

Class "H2ORawData"

as.table.H2OParsedData

Converts a parsed H2O object to a table in R.

doNotCallThisMethod...Unsupported

Internal method used for testing at the API level.

h2o.deeplearning

H2O: Deep Learning Neural Networks

h2o.downloadAllLogs

Download H2O Log Files to Disk

H2O: Generalized Linear Models

h2o.importFolder

Import Local Directory of Data Files

h2o.makeGLMModel

Create a GLM Model.

Import Local Data File

Convert Milliseconds to Months in H2O Dataset

h2o.nFoldExtractor

Extract N-fold holdout splits from H2O Data Set

Shutdown H2O server

h2o.createFrame

Create an H2O Frame

plot.H2OPerfModel

Scatterplot of H2O Performance Measures

The Number of Rows/Columns of a H2O Dataset

Sum of Numeric Values

Change the elements of a character vector to lower case

Convert Milliseconds to Years in H2O Dataset

H2ODeepLearningModel-class

Class "H2ODeepLearningModel"

H2ODRFGrid-class

Class "H2ODRFGrid"

H2OParsedData-class

Class "H2OParsedData"

h2o.confusionMatrix

Build a Confusion Matrix from H2O Classification Predictions

H2OGLMModel-class

Class "H2OGLMModel"

H2OGLMGrid-class

Class "H2OGLMGrid"

Assigns an H2O hex.key to an H2O object so that it can be utilized in subsequent calls

Set Path Where H2O R Logs are Saved

Maxima and Minima

cbind.H2OParsedData

Combine H2O Datasets by Columns

H2OKMeansGrid-class

Class "H2OKMeansGrid"

H2OGBMGrid-class

Class "H2OGBMGrid"

Convert H2O Numeric Data to Factor

Determine if an H2O parsed data object contains categorical data.

h2o.listTimezones

Prints out a list of time zone names

h2o.addFunction

Adds an R function to H2O

Load all H2O Model in a directory.

as.matrix.H2OParsedData

Converts a parsed H2O object to a matrix.

Converts a column from numeric to factor

Load a H2O Model.

Execute a Command on H2O

Split an H2O Data Set

Import from HDFS

Removes H2O objects from the server where H2O is running.

Delete All H2O R Logs

H2OGLMModelList-class

Class "H2OGLMModelList"

h2o.ignoreColumns

Returns columns' names of a parsed H2O data object that are recommended to be ignored in an analysis

Sample an H2O Data Set

h2o.insertMissingValues

Replace Entries in H2O Data Set with Missing Value

Cross Tabulation of H2O Data

h2o.getTimezone

Retrieves the time zone H2O is set to.

H2O Model Predictions

Save a H2OModel object to disk.

Trim the leading and trailing white space.

Save all H2OModel objects to disk.

Return the First or Last Part of a H2O Dataset

unique.H2OParsedData

Extract Unique Elements from H2O Dataset

Replace specified values with new values, in a factor or character vector.

hist.H2OParsedData

Obtain and display a histogram for H2O parsed data.

Display the Structure of a H2O Dataset

summary.H2OPCAModel

Summarizes the H2O PCA Model

Return the row numbers for which the condition is true

h2o.getGLMLambdaModel

Get H2O GLM Model for Specific Lambda

H2O: Principal Components Regression

Returns a permutation which rearranges its first argument into ascending or descending order.

Compute Hit Ratio from H2O Classification Predictions

Applies conditional statements to an H2OParsedData object.

h2o.randomForest

H2O: Random Forest

Change the elements of a character vector to lower case

tolower.H2OParsedData

Transform Elements of a Character Vector Into Lower Case

Upload Local Data File

quantile.H2OParsedData

Obtain and display quantiles for H2O parsed data.

H2OGBMModel-class

Class "H2OGBMModel"

Import Data from URL

zzz_ShutdownAfterExamples

Shutdown H2O cloud after examples run (for H2O developers only)

h2o.stopLogging

Stop Writing H2O R Logs

Principal Components Analysis

h2o.clusterInfo

Get Information on H2O Cluster

data.frameORnull-class

Class "data.frameORnull"

Export H2O Data Frame to a File.

Class "H2OGrid"

as.Date.H2OParsedData

Converts a column from factor to date

Levels of Categorical Data

H2ONBModel-class

Class "H2ONBModel"

summary.H2OGapStatModel

Summarizes the H2O Gap Statistic Model

Revalue.H2OParsedData

Replace specified values with new values, in a factor or character vector.

h2o.setTimezone

Sets the time zone for the H2O client object.

H2OGapStatModel-class

Class "H2OGapStatModel"

H2OPCAModel-class

Class "H2OPCAModel"

H2O: K-Means Clustering

Returns the mean squared error from H2O Classification Predictions

H2ODeepLearningGrid-class

Class "H2ODeepLearningGrid"

Converts an R object to an H2O object

View H2O R Logs

diff.H2OParsedData

Lagged Differences of H2O Dataset

Split the Elements of a Character Vector

Anomaly Detection via H2O Deep Learning Model

Split H2O dataset, apply function, and return results

h2o.downloadCSV

Download H2O Data to Disk

Get Path Where H2O R Logs are Saved

Get Reference to H2O Model

rbind.H2OParsedData

Combine H2O Datasets by Rows

toupper.H2OParsedData

Transform Elements of a Character Vector Into Upper Case

h2o.performance

Performance Measures