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h2o (version 3.8.3.3)

R Interface for H2O

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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Install

install.packages('h2o')

Monthly Downloads

14,878

Version

3.8.3.3

License

Apache License (== 2.0)

Maintainer

Last Published

July 13th, 2016

Functions in h2o (3.8.3.3)

aaa

Starting H2O For examples
as.h2o

R data.frame -> H2OFrame
as.numeric

Convert H2O Data to Numeric
as.matrix.H2OFrame

Convert an H2OFrame to a matrix
as.vector.H2OFrame

Convert an H2OFrame to a vector
as.factor

Convert H2O Data to Factors
apply

Apply on H2O Datasets
as.data.frame.H2OFrame

Converts parsed H2O data into an R data frame
&&

Logical and for H2OFrames
as.character.H2OFrame

Convert an H2OFrame to a String
h2o.assign

Rename an H2O object.
h2o.anyFactor

Check H2OFrame columns for factors
h2o-package

H2O R Interface
dim.H2OFrame

Returns the Dimensions of an H2OFrame
dimnames.H2OFrame

Column names of an H2OFrame
h2o.anomaly

Anomaly Detection via H2O Deep Learning Model
h2o.auc

Retrieve the AUC
h2o.aic

Retrieve the AIC. If "train", "valid", and "xval" parameters are FALSE (default), then the training AIC value is returned. If more than one parameter is set to TRUE, then a named vector of AICs are returned, where the names are "train", "valid" or "xval".
australia

Australia Coastal Data
colnames

Returns the column names of an H2OFrame
h2o.centroid_stats

Retrieve the centroid statistics If "train", "valid", and "xval" parameters are FALSE (default), then the training centroid stats value is returned. If more than one parameter is set to TRUE, then a named list of centroid stats data frames are returned, where the names are "train", "valid" or "xval".
h2o.clearLog

Delete All H2O R Logs
h2o.clusterInfo

Print H2O cluster info
h2o.cluster_sizes

Retrieve the cluster sizes If "train", "valid", and "xval" parameters are FALSE (default), then the training cluster sizes value is returned. If more than one parameter is set to TRUE, then a named list of cluster size vectors are returned, where the names are "train", "valid" or "xval".
h2o.clusterIsUp

Determine if an H2O cluster is up or not
h2o.cbind

Combine H2O Datasets by Columns
h2o.biases

Return the respective bias vector
h2o.betweenss

Get the between cluster sum of squares. If "train", "valid", and "xval" parameters are FALSE (default), then the training betweenss value is returned. If more than one parameter is set to TRUE, then a named vector of betweenss' are returned, where the names are "train", "valid" or "xval".
h2o.centersSTD

Retrieve the Model Centers STD
h2o.centers

Retrieve the Model Centers
h2o.cross_validation_holdout_predictions

Retrieve the cross-validation holdout predictions
h2o.confusionMatrix

Access H2O Confusion Matrices
h2o.coef_norm

Retrieve the normalized coefficients
h2o.clusterStatus

Return the status of the cluster
h2o.cross_validation_models

Retrieve the cross-validation models
h2o.cross_validation_fold_assignment

Retrieve the cross-validation fold assignment
h2o.cross_validation_predictions

Retrieve the cross-validation predictions
h2o.coef

Retrieve the model coefficeints
h2o.cor

Correlation of columns.
h2o.createFrame

Data H2OFrame Creation in H2O
h2o.downloadAllLogs

Download H2O Log Files to Disk
h2o.download_pojo

Download the Scoring POJO (Plain Old Java Object) of an H2O Model
h2o.deepfeatures

Feature Generation via H2O Deep Learning Model
h2o.ddply

Split H2O Dataset, Apply Function, and Return Results
h2o.deeplearning

Build a Deep Neural Network
h2o.day

Convert Milliseconds to Day of Month in H2O Datasets
h2o.describe

H2O Description of A Dataset
h2o.cut

Cut H2O Numeric Data to Factor
h2o.dct

Compute DCT of an H2OFrame
h2o.dayOfWeek

Convert Milliseconds to Day of Week in H2O Datasets
h2o.gbm

Gradient Boosted Machines
h2o.gainsLift

Access H2O Gains/Lift Tables
h2o.find_threshold_by_max_metric

Find the threshold, give the max metric
h2o.exportHDFS

Export a Model to HDFS
h2o.filterNACols

Filter NA Columns
h2o.downloadCSV

Download H2O Data to Disk
h2o.entropy

Shannon entropy
h2o.exportFile

Export an H2O Data Frame (H2OFrame) to a File
h2o.getGLMFullRegularizationPath

Extract full regularization path from glm model (assuming it was run with lambda search option)
h2o.find_row_by_threshold

Find the threshold, give the max metric. No duplicate thresholds allowed
h2o.getGrid

Get a grid object from H2O distributed K/V store.
h2o.init

Initialize and Connect to H2O
h2o.impute

Basic Imputation of H2O Vectors
h2o.ifelse

H2O Apply Conditional Statement
h2o.import_sql_select

Import SQL table that is result of SELECT SQL query into H2O
h2o.logloss

Retrieve the Log Loss Value
h2o.ls

List Keys on an H2O Cluster
h2o.group_by

Group and Apply by Column
h2o.getId

Get back-end distributed key/value store id from an H2OFrame.
h2o.metric

H2O Model Metric Accessor Functions
h2o.gsub

String Global Substitute
h2o.killMinus3

Dump the stack into the JVM's stdout.
h2o.levels

Return the levels from the column requested column.
h2o.kmeans

KMeans Model in H2O
h2o.listTimezones

List all of the Time Zones Acceptable by the H2O Cloud.
h2o.nlevels

Get the number of factor levels for this frame.
h2o.no_progress

Disable Progress Bar
h2o.median

H2O Median
h2o.merge

Merge Two H2O Data Frames
h2o.quantile

Quantiles of H2O Frames.
h2o.saveModel

Save an H2O Model Object to Disk
h2o.signif

Round doubles/floats to the given number of significant digits.
h2o.runif

Produce a Vector of Random Uniform Numbers
h2o.tot_withinss

Get the total within cluster sum of squares. If "train", "valid", and "xval" parameters are FALSE (default), then the training tot_withinss value is returned. If more than one parameter is set to TRUE, then a named vector of tot_withinss' are returned, where the names are "train", "valid" or "xval".
h2o.splitFrame

Split an H2O Data Set
h2o.getFrame

Get an R Reference to an H2O Dataset, that will NOT be GC'd by default
h2o.getConnection

Retrieve an H2O Connection
h2o.totss

Get the total sum of squares. If "train", "valid", and "xval" parameters are FALSE (default), then the training totss value is returned. If more than one parameter is set to TRUE, then a named vector of totss' are returned, where the names are "train", "valid" or "xval".
h2o.getFutureModel

Get future model
h2o.head

Return the Head or Tail of an H2O Dataset.
h2o.interaction

Categorical Interaction Feature Creation in H2O
h2o.hist

Compute A Histogram
h2o.insertMissingValues

Inserting Missing Values to an H2O DataH2OFrame
h2o.nacnt

Count of NAs per column
h2o.logAndEcho

Log a message on the server-side logs
h2o.loadModel

Load H2O Model from HDFS or Local Disk
h2o.naiveBayes

Naive Bayes Model in H2O
h2o.getModel

Get an R reference to an H2O model
h2o.r2

Retrieve the R2 value
h2o.mktime

Compute msec since the Unix Epoch
H2OModelFuture-class

H2O Future Model
plot.H2OTabulate

Plot an H2O Tabulate Heatmap
Logical-or

Logical or for H2OFrames
is.numeric

Check if numeric
H2OModelMetrics-class

The H2OModelMetrics Object.
predict_leaf_node_assignment.H2OModel

Predict the Leaf Node Assignment on an H2O Model
h2o.hour

Convert Milliseconds to Hour of Day in H2O Datasets
h2o.getTypes

Get the types-per-column
h2o.hit_ratio_table

Retrieve the Hit Ratios If "train", "valid", and "xval" parameters are FALSE (default), then the training Hit Ratios value is returned. If more than one parameter is set to TRUE, then a named list of Hit Ratio tables are returned, where the names are "train", "valid" or "xval".
h2o.getTimezone

Get the Time Zone on the H2O Cloud Returns a string
h2o.import_sql_table

Import SQL Table into H2O
h2o.importFile

Import Files into H2O
h2o.mse

Retrieves Mean Squared Error Value
h2o.month

Convert Milliseconds to Months in H2O Datasets
h2o.prcomp

Principal Components Analysis
h2o.proj_archetypes

Convert Archetypes to Features from H2O GLRM Model
h2o.setLevels

Set Levels of H2O Factor Column
h2o.strsplit

String Split
h2o.sub

String Substitute
h2o.setTimezone

Set the Time Zone on the H2O Cloud
h2o.withinss

Get the Within SS
h2o.parseRaw

H2O Data Parsing
h2o.openLog

View H2O R Logs
prostate

Prostate Cancer Study
print.H2OTable

Print method for H2OTable objects
h2o.rep_len

Replicate Elements of Vectors or Lists into H2O
h2o.startLogging

Start Writing H2O R Logs
h2o.residual_deviance

Retrieve the residual deviance If "train", "valid", and "xval" parameters are FALSE (default), then the training residual deviance value is returned. If more than one parameter is set to TRUE, then a named vector of residual deviances are returned, where the names are "train", "valid" or "xval".
h2o.stopLogging

Stop Writing H2O R Logs
h2o.year

Convert Milliseconds to Years in H2O Datasets
h2o.num_iterations

Retrieve the number of iterations.
h2o.num_valid_substrings

Count of substrings >= 2 chars that are contained in file
h2o.performance

Model Performance Metrics in H2O
h2o.parseSetup

Get a parse setup back for the staged data.
h2o.residual_dof

Retrieve the residual degrees of freedom If "train", "valid", and "xval" parameters are FALSE (default), then the training residual degrees of freedom value is returned. If more than one parameter is set to TRUE, then a named vector of residual degrees of freedom are returned, where the names are "train", "valid" or "xval".
h2o.scoreHistory

Retrieve Model Score History
h2o.scale

Scaling and Centering of an H2OFrame
h2o.rm

Delete Objects In H2O
h2o.getVersion

Get h2o version
h2o.giniCoef

Retrieve the GINI Coefficcient
h2o.kfold_column

Produce a k-fold column vector.
h2o.is_client

Check Client Mode Connection
h2o.mean_residual_deviance

Retrieve the Mean Residual Deviance value
h2o.makeGLMModel

Set betas of an existing H2O GLM Model
h2o.lstrip

Strip set from left
h2o.networkTest

View Network Traffic Speed
h2o.mean

Mean of a column
h2o.nchar

String length
h2o.glrm

Generalized Low Rank Model
h2o.grid

H2O Grid Support
h2o.match

Value Matching in H2O
h2o.mean_per_class_error

Retrieve the mean per class error
h2o.null_deviance

Retrieve the null deviance If "train", "valid", and "xval" parameters are FALSE (default), then the training null deviance value is returned. If more than one parameter is set to TRUE, then a named vector of null deviances are returned, where the names are "train", "valid" or "xval".
h2o.reconstruct

Reconstruct Training Data via H2O GLRM Model
h2o.null_dof

Retrieve the null degrees of freedom If "train", "valid", and "xval" parameters are FALSE (default), then the training null degrees of freedom value is returned. If more than one parameter is set to TRUE, then a named vector of null degrees of freedom are returned, where the names are "train", "valid" or "xval".
h2o.relevel

Reorders levels of an H2O factor, similarly to standard R's relevel.
h2o.rstrip

Strip set from right
h2o.round

Round doubles/floats to the given number of decimal places.
h2o.svd

Singular Value Decomposition
h2o.table

Cross Tabulation and Table Creation in H2O
h2o.varimp

Retrieve the variable importance.
is.character

Check if character
is.factor

Check if factor
summary,H2OGrid-method

Format grid object in user-friendly way
summary,H2OModel-method

Print the Model Summary
h2o.trim

Trim Space
h2o.toupper

To Upper
h2o.week

Convert Milliseconds to Week of Week Year in H2O Datasets
H2OFrame-Extract

Extract or Replace Parts of an H2OFrame Object
Ops.H2OFrame

S3 Group Generic Functions for H2O
predict.H2OModel

Predict on an H2O Model
h2o.rbind

Combine H2O Datasets by Rows
na.omit.H2OFrame

Remove Rows With NAs
ModelAccessors

Accessor Methods for H2OModel Object
h2o.randomForest

Build a Big Data Random Forest Model
h2o.show_progress

Enable Progress Bar
h2o.removeAll

Remove All Objects on the H2O Cluster
h2o.removeVecs

Delete Columns from an H2OFrame
h2o.tabulate

Tabulation between Two Columns of an H2OFrame
h2o.sd

Standard Deviation of a column of data.
h2o.unique

H2O Unique
h2o.summary

Summarizes the columns of an H2OFrame.
h2o.sdev

Retrieve the standard deviations of principal components
H2OConnection-class

The H2OConnection class.
H2OClusteringModel-class

The H2OClusteringModel object.
h2o.var

Variance of a column or covariance of columns.
h2o.substring

Substring
h2o.shutdown

Shut Down H2O Instance
names.H2OFrame

Column names of an H2OFrame
plot.H2OModel

Plot an H2O Model
print.H2OFrame

Print An H2OFrame
zzz

Shutdown H2O cloud after examples run
walking

Muscular Actuations for Walking Subject
h2o.tolower

To Lower
h2o.which

Which indices are TRUE?
h2o.weights

Retrieve the respective weight matrix
H2OGrid-class

H2O Grid
H2OModel-class

The H2OModel object.
housevotes

United States Congressional Voting Records 1984
iris

Edgar Anderson's Iris Data
range.H2OFrame

Range of an H2O Column
str.H2OFrame

Display the structure of an H2OFrame object