h2o v3.2.0.3

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by Tom Kraljevic

R Interface for H2O

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.

Functions in h2o

Name Description
h2o-package H2O R Interface
as.environment,H2OFrame-method Convert H2O Data to an R Enviornment
h2o.clearLog Delete All H2O R Logs
h2o.centers Retrieve the Model Centers
h2o.day Convert Milliseconds to Day of Month in H2O Datasets
h2o.download_pojo Download the Scoring POJO (Plain Old Java Object) of a H2O Model
h2o.interaction Categorical Interaction Feature Creation in H2O
h2o.logAndEcho Log a message on the server-side logs
h2o.match Value Matching in H2O
h2o.num_iterations Retrieve the number of iterations.
h2o.naiveBayes Naive Bayes Model in H2O
h2o.performance Model Performance Metrics in H2O
h2o.parseSetup Get a parse setup back for the staged data.
h2o.strsplit String Split
str.H2OFrame Describe an H2OFrame object
h2o.assign Rename an H2O object.
H2OConnection-class The H2OConnection class.
h2o.clusterStatus Return the status of the cluster
h2o.cummax Cumulative Max
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.downloadCSV Download H2O Data to Disk
h2o.downloadAllLogs Download H2O Log Files to Disk
h2o.exportHDFS Export a H2OFrame to HDFS
h2o.glrm Generalized Low Rank Model
h2o.group_by Group and Apply by Column
h2o.ifelse H2O Apply Conditional Statement
h2o.mse Retrieves Mean Squared Error Value
h2o.nlevels Return the number of levels in the column.
h2o.networkTest View Network Traffic Speed
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.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.gsub String Global Substitute
h2o.scoreHistory Retrieve Model Score History
h2o.rbind Combine H2O Datasets by Rows
h2o.svd Singular Value Decomposition
h2o.splitFrame Split an H2O Data Set
h2o.setTimezone Set the Time Zone on the H2O Cloud
h2o.tolower To Lower
h2o.var Variance of a column.
H2OClusteringModel-class The H2OClusteringModel object.
H2OModelFuture-class H2O Future Model
H2OFrame-Extract Extract or Replace Parts of an H2OFrame Object
H2ORawData-class The H2ORawData class.
H2OW2V-class The H2OW2V object.
h2o.anomaly Anomaly Detection via H2O Deep Learning Model
as.factor,H2OFrame-method Convert H2O Data to Factors
h2o.cbind Combine H2O Datasets by Columns
h2o.centersSTD Retrieve the Model Centers STD
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.grid H2O Grid Support
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.kmeans KMeans Model in H2O
h2o.metric H2O Model Metric Accessor Functions
h2o.parseRaw H2O Data Parsing
h2o.r2 Retrieve the R2 value
h2o.sdev Retrieve the standard deviations of principal components
h2o.setLevels Set Levels of H2O Factor Column
h2o.sub String Substitute
h2o.shutdown Shut Down H2O Instance
h2o.stopLogging Stop Writing H2O R Logs
h2o.removeVecs Delete Columns from a H2OFrame
ASTNode-class The ASTNode class.
H2OGrid-class H2O Grid
H2OS4groupGeneric S4 Group Generic Functions for H2O
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.coef Retrieve the model coefficeints
colnames<-,H2OFrame,H2OFrame-method Returns Column Names for a Parsed H2O Data Object.
h2o.cumsum Cumulative Sum
h2o.confusionMatrix Access H2O Confusion Matrices
h2o.cut Cut H2O Numeric Data to Factor
h2o.glm H2O Generalized Linear Models
h2o.listTimezones List all of the Time Zones Acceptable by the H2O Cloud.
h2o.levels Return the levels from the column requested column.
h2o.clusterIsUp Determine if an H2O cluster is up or not
h2o.loadModel Load H2O Model from HDFS or Local Disk
h2o.getFrame Get an R Reference to an H2O Dataset
h2o.makeGLMModel Set betas of an existing H2O GLM Model
h2o.prcomp Principal Components Analysis
h2o.median H2O Median
h2o.startGLMJob Start an H2O Generalized Linear Model Job
h2o.table Cross Tabulation and Table Creation in H2O
h2o.startLogging Start Writing H2O R Logs
is.numeric,H2OFrame-method Is H2O Data Frame column numeric
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.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".
as.numeric,H2OFrame-method Convert H2O Data to Numeric
H2OModel-class The H2OModel object.
apply,H2OFrame-method Apply on H2O Datasets
aaa Starting H2O For examples
h2o.anyFactor Check H2OFrame columns for factors
as.character,H2OFrame-method Convert H2O Data to Characters
h2o.auc Retrieve the AUC
h2o.deeplearning Build a Deep Learning Neural Network
h2o.hour Convert Milliseconds to Hour of Day in H2O Datasets
h2o.createFrame Data Frame Creation in H2O
h2o.cummin Cumulative Min
h2o.month Convert Milliseconds to Months in H2O Datasets
h2o.openLog View H2O R Logs
h2o.scale Scaling and Centering of an H2O Frame
h2o.ddply Split H2O Dataset, Apply Function, and Return Results
h2o.toupper To Upper
h2o.subset Subsetting an H2O Frame
h2o.trim Trim Space
h2o.filterNACols Filter NA Columns
h2o.getModel Get an R reference to an H2O model
predict.H2OModel Predict on an H2O Model
h2o.nrow The Number of Rows/Columns of an H2O Dataset
h2o.dim Returns the Dimensions of a Parsed H2O Data Object.
h2o.tabulate Tabulation between Two Columns of a H2O Frame
h2o.quantile Quantiles of H2O Data Frame.
h2o.removeAll Remove All Objects on the H2O Cluster
h2o.runif Produce a Vector of Random Uniform Numbers
h2o.summary Summarizes the columns of a H2O data frame.
h2o.weights Retrieve the respective weight matrix
h2o.week Convert Milliseconds to Week of Week Year in H2O Datasets
h2o.year Convert Milliseconds to Years in H2O Datasets
h2o.withinss Get the Within SS
h2o.varimp Retrieve the variable importance.
range,H2OFrame-method Range of an H2O Column
H2OObject-class The H2OObject class
summary,H2OGrid-method Format grid object in user-friendly way
summary,H2OModel-method Print the Model Summary
Node-class The Node class.
h2o.dct Compute DCT of an H2OFrame
h2o.biases Return the respective bias vector
h2o.deepfeatures Feature Generation via H2O Deep Learning Model
zzz Shutting down H2O for examples
h2o.getConnection Retrieve an H2O Connection
h2o.giniCoef Retrieve the GINI Coefficcient
h2o.getGrid Get a grid object from H2O distributed K/V store.
h2o.impute # children
h2o.is_client Check Client Mode Connection
h2o.length Returns the Length of a Parsed H2O Data Object.
h2o.logloss Retrieve the Log Loss Value
h2o.mean Mean of a column
h2o.randomForest Build a Big Data Random Forest Model
h2o.rm Delete Objects In H2O
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".
is.factor,H2OFrame-method Is H2O Data Frame column a enum
na.omit,H2OFrame-method Remove Rows With NAs
h2o.which H2O Which
as.data.frame.H2OFrame Converts a Parsed H2O data into a Data Frame
H2OModelMetrics-class The H2OModelMetrics Object.
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".
as.h2o R data.frame -> H2OFrame
h2o.dayOfWeek Convert Milliseconds to Day of Week in H2O Datasets
h2o.clusterInfo Print H2O cluster info
h2o.insertMissingValues Inserting Missing Values to an H2O DataFrame
h2o.gbm Gradient Boosted Machines
h2o.killMinus3 Dump the stack into the JVM's stdout.
h2o.init Initialize and Connect to H2O
h2o.ls List Keys on an H2O Cluster
h2o.rep_len Replicate Elements of Vectors or Lists into H2O
h2o.sd Standard Deviation of a column of data.
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.transform Transform Columns in an H2OFrame Object.
print.H2OTable Print method for H2OTable objects
H2OFrame-class The H2OFrame class
ModelAccessors Accessor Methods for H2OModel Object
h2o.coef_norm Retrieve the normalized coefficients
h2o.cumprod Cumulative Product
h2o.exportFile Export an H2O Data Frame to a File
h2o.hist Compute A Histogram
h2o.head Return the Head or Tail of an H2O Dataset.
h2o.importFile Import Files into H2O
h2o.getTimezone Get the Time Zone on the H2O Cloud
h2o.merge Merge Two H2O Data Frames
h2o.mean_residual_deviance Retrieve the Mean Residual Deviance value
h2o.shim Deprecated Script Shim
h2o.saveModel Save an H2O Model Object to Disk
h2o.setLevel Set a Factor Column to a Level
sapply,H2OFrame-method Apply Over a List in H2O
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Details

Type Package
Date 2015-7-1
License Apache License (== 2.0)
URL http://www.h2o.ai
NeedsCompilation no
SystemRequirements Java (>= 1.7)
Packaged 2015-09-22 01:19:50 UTC; jenkins
Repository CRAN
Date/Publication 2015-09-23 02:25:07

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