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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

9,655

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"
H2OModel-class

Class "H2OModel"
h2o-package

H2O R Interface
h2o.clusterStatus

Retrieve Status of H2O Cluster
h2o.impute

Impute A Column of Data
h2o.gsub

Pattern Replacement
h2o.naiveBayes

H2O: Naive Bayes Classifier
H2OClient-class

Class "H2OClient"
h2o.runif

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.SpeeDRF

H2O: Single-Node Random Forest
h2o.gains

Gains and Lift Charts
H2OPerfModel-class

Class "H2OPerfModel"
h2o.gbm

H2O: Gradient Boosted Machines
h2o.interaction

Create interaction terms between categorical features of an H2O Frame
h2o.init

Connect to H2O and Install R Package
h2o.coxph

H2O: Cox Proportional Hazards Models
is.factor

Tells user if given column is categorical data or not.
h2o.ls

Obtain a list of H2O keys from the running instance of H2O
h2o.sub

Pattern Replacement
plot.H2OGapStatModel

Elbow Plots and Gap Measures
Round

Rounding of Numbers
colnames

Returns column names for a parsed H2O data object.
h2o.removeVecs

Removes columns or vectors from H2OParsedData objects instead of making a copy of the data without the specified columns.
h2o.rebalance

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
h2o.parseRaw

Parse Raw Data File
h2o.getFrame

Get Reference to H2O Data Set
h2o.logAndEcho

Write and Echo Message to H2O Log
summary

Summarizes the columns of a H2O Dataset
screeplot.H2OPCAModel

Summarizes the columns of an H2O parsed FluidVecs data set.
sd

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"
apply

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.glm

H2O: Generalized Linear Models
h2o.importFolder

Import Local Directory of Data Files
h2o.makeGLMModel

Create a GLM Model.
h2o.importFile

Import Local Data File
h2o.month

Convert Milliseconds to Months in H2O Dataset
h2o.nFoldExtractor

Extract N-fold holdout splits from H2O Data Set
h2o.shutdown

Shutdown H2O server
h2o.createFrame

Create an H2O Frame
plot.H2OPerfModel

Scatterplot of H2O Performance Measures
nrow

The Number of Rows/Columns of a H2O Dataset
sum

Sum of Numeric Values
tolower

Change the elements of a character vector to lower case
h2o.year

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"
h2o.assign

Assigns an H2O hex.key to an H2O object so that it can be utilized in subsequent calls
h2o.setLogPath

Set Path Where H2O R Logs are Saved
Extremes

Maxima and Minima
cbind.H2OParsedData

Combine H2O Datasets by Columns
H2OKMeansGrid-class

Class "H2OKMeansGrid"
H2OGBMGrid-class

Class "H2OGBMGrid"
h2o.cut

Convert H2O Numeric Data to Factor
h2o.anyFactor

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
h2o.loadAll

Load all H2O Model in a directory.
as.matrix.H2OParsedData

Converts a parsed H2O object to a matrix.
as.factor

Converts a column from numeric to factor
h2o.loadModel

Load a H2O Model.
h2o.exec

Execute a Command on H2O
h2o.splitFrame

Split an H2O Data Set
h2o.importHDFS

Import from HDFS
h2o.rm

Removes H2O objects from the server where H2O is running.
h2o.clearLogs

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
h2o.sample

Sample an H2O Data Set
h2o.insertMissingValues

Replace Entries in H2O Data Set with Missing Value
h2o.table

Cross Tabulation of H2O Data
h2o.getTimezone

Retrieves the time zone H2O is set to.
h2o.predict

H2O Model Predictions
h2o.saveModel

Save a H2OModel object to disk.
trim

Trim the leading and trailing white space.
h2o.saveAll

Save all H2OModel objects to disk.
head

Return the First or Last Part of a H2O Dataset
unique.H2OParsedData

Extract Unique Elements from H2O Dataset
Revalue

Replace specified values with new values, in a factor or character vector.
hist.H2OParsedData

Obtain and display a histogram for H2O parsed data.
str

Display the Structure of a H2O Dataset
summary.H2OPCAModel

Summarizes the H2O PCA Model
which

Return the row numbers for which the condition is true
h2o.getGLMLambdaModel

Get H2O GLM Model for Specific Lambda
h2o.pcr

H2O: Principal Components Regression
h2o.order

Returns a permutation which rearranges its first argument into ascending or descending order.
h2o.hitRatio

Compute Hit Ratio from H2O Classification Predictions
ifelse

Applies conditional statements to an H2OParsedData object.
h2o.randomForest

H2O: Random Forest
toupper

Change the elements of a character vector to lower case
tolower.H2OParsedData

Transform Elements of a Character Vector Into Lower Case
h2o.uploadFile

Upload Local Data File
quantile.H2OParsedData

Obtain and display quantiles for H2O parsed data.
H2OGBMModel-class

Class "H2OGBMModel"
h2o.importURL

Import Data from URL
zzz_ShutdownAfterExamples

Shutdown H2O cloud after examples run (for H2O developers only)
h2o.stopLogging

Stop Writing H2O R Logs
h2o.prcomp

Principal Components Analysis
h2o.clusterInfo

Get Information on H2O Cluster
data.frameORnull-class

Class "data.frameORnull"
h2o.exportFile

Export H2O Data Frame to a File.
H2OGrid-class

Class "H2OGrid"
as.Date.H2OParsedData

Converts a column from factor to date
levels

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.kmeans

H2O: K-Means Clustering
h2o.mse

Returns the mean squared error from H2O Classification Predictions
H2ODeepLearningGrid-class

Class "H2ODeepLearningGrid"
as.h2o

Converts an R object to an H2O object
h2o.openLog

View H2O R Logs
diff.H2OParsedData

Lagged Differences of H2O Dataset
strsplit

Split the Elements of a Character Vector
h2o.anomaly

Anomaly Detection via H2O Deep Learning Model
h2o.ddply

Split H2O dataset, apply function, and return results
h2o.downloadCSV

Download H2O Data to Disk
h2o.getLogPath

Get Path Where H2O R Logs are Saved
h2o.getModel

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