h2o v3.10.3.6

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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
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
as.factor Convert H2O Data to Factors
apply Apply on H2O Datasets
aaa Starting H2O For examples
as.matrix.H2OFrame Convert an H2OFrame to a matrix
as.h2o Create H2OFrame
as.numeric Convert H2O Data to Numeric
as.vector.H2OFrame Convert an H2OFrame to a vector
h2o.anomaly Anomaly Detection via H2O Deep Learning Model
dimnames.H2OFrame Column names of an H2OFrame
dim.H2OFrame Returns the Dimensions of an H2OFrame
h2o.abs Compute the absolute value of x
h2o.all Given a set of logical vectors, are all of the values true?
australia Australia Coastal Data
colnames Returns the column names of an H2OFrame
h2o.acos Compute the arc cosine of x
h2o.aic Retrieve the AIC.
h2o-package
h2o.betweenss Get the between cluster sum of squares.
h2o.assign Rename an H2O object.
h2o.asfactor Convert H2O Data to Factors
h2o.asnumeric Convert H2O Data to Numerics
h2o.auc Retrieve the AUC
h2o.ascharacter Convert H2O Data to Characters
h2o.as_date Functions to convert between character representations and objects of class "Date" representing calendar dates.
h2o.anyFactor Check H2OFrame columns for factors
h2o.arrange Sorts H2OFrame by the columns specified. Returns a new H2OFrame, like dplyr::arrange.
h2o.any Given a set of logical vectors, is at least one of the values true?
h2o.clearLog Delete All H2O R Logs
h2o.centersSTD Retrieve the Model Centers STD
h2o.biases Return the respective bias vector
h2o.clusterIsUp Determine if an H2O cluster is up or not
h2o.cluster_sizes Retrieve the cluster sizes
h2o.clusterInfo Print H2O cluster info
h2o.ceiling ceiling takes a single numeric argument x and returns a
h2o.centroid_stats Retrieve the centroid statistics
h2o.centers Retrieve the Model Centers
h2o.cbind Combine H2O Datasets by Columns
h2o.connect Connect to a running H2O instance.
h2o.clusterStatus Return the status of the cluster
h2o.cos Compute the cosine of x
h2o.columns_by_type Obtain a list of columns that are specified by `coltype`
h2o.coef_norm Retrieve the normalized coefficients
h2o.cor Correlation of columns.
h2o.colnames Return column names of an H2OFrame
h2o.computeGram Compute weighted gram matrix.
h2o.coef Retrieve the model coefficeints
h2o.confusionMatrix Access H2O Confusion Matrices
h2o.cummin Return the cumulative min over a column or across a row
h2o.cumsum Return the cumulative sum over a column or across a row
h2o.createFrame Data H2OFrame Creation in H2O
h2o.cross_validation_fold_assignment Retrieve the cross-validation fold assignment
h2o.cross_validation_holdout_predictions Retrieve the cross-validation holdout predictions
h2o.cross_validation_models Retrieve the cross-validation models
h2o.cummax Return the cumulative max over a column or across a row
h2o.cumprod Return the cumulative product over a column or across a row
h2o.cross_validation_predictions Retrieve the cross-validation predictions
h2o.cosh Compute the hyperbolic cosine of x
h2o.deepfeatures Feature Generation via H2O Deep Learning Model
h2o.describe H2O Description of A Dataset
h2o.deepwater.available Ask the H2O server whether a Deep Water model can be built (depends on availability of native backends)
h2o.ddply Split H2O Dataset, Apply Function, and Return Results
h2o.dayOfWeek Convert Milliseconds to Day of Week in H2O Datasets
h2o.dct Compute DCT of an H2OFrame
h2o.cut Cut H2O Numeric Data to Factor
h2o.day Convert Milliseconds to Day of Month in H2O Datasets
h2o.deepwater Build a Deep Learning model using multiple native GPU backends
h2o.deeplearning Build a Deep Neural Network model using CPUs
h2o.dim Returns the number of rows and columns for an H2OFrame object.
h2o.download_pojo Download the Scoring POJO (Plain Old Java Object) of an H2O Model
h2o.difflag1 Conduct a lag 1 transform on a numeric H2OFrame column
h2o.dimnames Column names of an H2OFrame
h2o.entropy Shannon entropy
h2o.exp Compute the exponential function of x
h2o.downloadCSV Download H2O Data to Disk
h2o.downloadAllLogs Download H2O Log Files to Disk
h2o.exportFile Export an H2O Data Frame (H2OFrame) to a File or to a collection of Files.
h2o.download_mojo Download the model in MOJO format.
h2o.find_row_by_threshold Find the threshold, give the max metric. No duplicate thresholds allowed
h2o.floor floor takes a single numeric argument x and returns a numeric
h2o.findSynonyms Find synonyms using a word2vec model.
h2o.gainsLift Access H2O Gains/Lift Tables
h2o.find_threshold_by_max_metric Find the threshold, give the max metric
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.exportHDFS Export a Model to HDFS
h2o.filterNACols Filter NA Columns
h2o.gbm Builds gradient boosted classification trees and gradient boosted regression trees on a parsed data set.
h2o.getVersion Get h2o version
h2o.getGrid Get a grid object from H2O distributed K/V store. Note that if neither cross-validation nor a
h2o.getId Get back-end distributed key/value store id from an H2OFrame.
h2o.giniCoef Retrieve the GINI Coefficcient
h2o.getFutureModel Get future model
h2o.getModel Get an R reference to an H2O model
h2o.getGLMFullRegularizationPath Extract full regularization path from glm model (assuming it was run with lambda search option)
h2o.glm Fits a generalized linear model, specified by a response variable, a set of predictors, and a
h2o.getTypes Get the types-per-column
h2o.getTimezone Get the Time Zone on the H2O Cloud
h2o.grid H2O Grid Support
h2o.grep Searches for matches to argument `pattern` within each element
h2o.group_by Group and Apply by Column
h2o.gsub String Global Substitute
h2o.glrm Generalized low rank decomposition of an H2O data frame.
h2o.hit_ratio_table Retrieve the Hit Ratios
h2o.hist Compute A Histogram
h2o.head Return the Head or Tail of an H2O Dataset.
h2o.hour Convert Milliseconds to Hour of Day in H2O Datasets
h2o.ifelse H2O Apply Conditional Statement
h2o.interaction Categorical Interaction Feature Creation in H2O
h2o.import_sql_table Import SQL Table into H2O
h2o.impute Basic Imputation of H2O Vectors
h2o.is_client Check Client Mode Connection
h2o.init Initialize and Connect to H2O
h2o.ischaracter Check if character
h2o.isax iSAX
h2o.import_sql_select Import SQL table that is result of SELECT SQL query into H2O
h2o.insertMissingValues Inserting Missing Values to an H2O DataH2OFrame
h2o.importFile Import Files into H2O
h2o.isnumeric Check if numeric
h2o.kurtosis Kurtosis of a column
h2o.log Compute the logarithm of x
h2o.killMinus3 Dump the stack into the JVM's stdout.
h2o.levels Return the levels from the column requested column.
h2o.kfold_column Produce a k-fold column vector.
h2o.kmeans Performs k-means clustering on an H2O dataset.
h2o.loadModel Load H2O Model from HDFS or Local Disk
h2o.listTimezones List all of the Time Zones Acceptable by the H2O Cloud.
h2o.isfactor Check if factor
h2o.lstrip Strip set from left
h2o.log10 Compute the log10 of x
h2o.make_metrics Create Model Metrics from predicted and actual values in H2O
h2o.ls List Keys on an H2O Cluster
h2o.mae Retrieve the Mean Absolute Error Value
h2o.logloss Retrieve the Log Loss Value
h2o.logAndEcho Log a message on the server-side logs
h2o.makeGLMModel Set betas of an existing H2O GLM Model
h2o.log2 Compute the log2 of x
h2o.log1p Compute the log1p of x
h2o.max Returns the maxima of the input values.
h2o.match Value Matching in H2O
h2o.mean Compute the frame's mean by-column (or by-row).
h2o.median H2O Median
h2o.merge Merge Two H2O Data Frames
h2o.min Returns the minima of the input values.
h2o.mean_residual_deviance Retrieve the Mean Residual Deviance value
h2o.mktime Compute msec since the Unix Epoch
h2o.metric H2O Model Metric Accessor Functions
h2o.mean_per_class_error Retrieve the mean per class error
h2o.na_omit Remove Rows With NAs
h2o.mse Retrieves Mean Squared Error Value
h2o.nchar String length
h2o.naiveBayes Compute naive Bayes probabilities on an H2O dataset.
h2o.nlevels Get the number of factor levels for this frame.
h2o.names Column names of an H2OFrame
h2o.ncol Return the number of columns present in x.
h2o.month Convert Milliseconds to Months in H2O Datasets
h2o.networkTest View Network Traffic Speed
h2o.nacnt Count of NAs per column
h2o.no_progress Disable Progress Bar
h2o.nrow Return the number of rows present in x.
h2o.null_dof Retrieve the null degrees of freedom
h2o.null_deviance Retrieve the null deviance
h2o.num_valid_substrings Count of substrings >= 2 chars that are contained in file
h2o.parseRaw H2O Data Parsing
h2o.partialPlot Partial Dependence Plots
h2o.num_iterations Retrieve the number of iterations.
h2o.parseSetup Get a parse setup back for the staged data.
h2o.openLog View H2O R Logs
h2o.range Returns a vector containing the minimum and maximum of all the given arguments.
h2o.quantile Quantiles of H2O Frames.
h2o.prod Return the product of all the values present in its arguments.
h2o.print Print An H2OFrame
h2o.rbind Combine H2O Datasets by Rows
h2o.randomForest Builds a Random Forest Model on an H2OFrame
h2o.proj_archetypes Convert Archetypes to Features from H2O GLRM Model
h2o.r2 Retrieve the R2 value
h2o.prcomp Principal components analysis of an H2O data frame using the power method
h2o.performance Model Performance Metrics in H2O
h2o.removeAll Remove All Objects on the H2O Cluster
h2o.rmsle Retrieve the Root Mean Squared Log Error
h2o.removeVecs Delete Columns from an H2OFrame
h2o.rm Delete Objects In H2O
h2o.reconstruct Reconstruct Training Data via H2O GLRM Model
h2o.rep_len Replicate Elements of Vectors or Lists into H2O
h2o.residual_deviance Retrieve the residual deviance
h2o.relevel Reorders levels of an H2O factor, similarly to standard R's relevel.
h2o.residual_dof Retrieve the residual degrees of freedom
h2o.rmse Retrieves Root Mean Squared Error Value
h2o.scale Scaling and Centering of an H2OFrame
h2o.round Round doubles/floats to the given number of decimal places.
h2o.rstrip Strip set from right
h2o.scoreHistory Retrieve Model Score History
h2o.sd Standard Deviation of a column of data.
h2o.runif Produce a Vector of Random Uniform Numbers
h2o.saveModel Save an H2O Model Object to Disk
h2o.sdev Retrieve the standard deviations of principal components
h2o.setLevels Set Levels of H2O Factor Column
h2o.saveMojo Save an H2O Model Object as Mojo to Disk
h2o.signif Round doubles/floats to the given number of significant digits.
h2o.setTimezone Set the Time Zone on the H2O Cloud
h2o.skewness Skewness of a column
h2o.startLogging Start Writing H2O R Logs
h2o.sin Compute the sine of x
h2o.stackedEnsemble Build a stacked ensemble (aka. Super Learner) using the H2O base
h2o.shutdown Shut Down H2O Instance
h2o.show_progress Enable Progress Bar
h2o.sqrt Compute the square root of x
h2o.splitFrame Split an H2O Data Set
h2o.substring Substring
h2o.sub String Substitute
h2o.sum Compute the frame's sum by-column (or by-row).
h2o.stopLogging Stop Writing H2O R Logs
h2o.str Display the structure of an H2OFrame object
h2o.table Cross Tabulation and Table Creation in H2O
h2o.strsplit String Split
h2o.summary Summarizes the columns of an H2OFrame.
h2o.svd Singular value decomposition of an H2O data frame using the power method.
h2o.std_coef_plot Plot Standardized Coefficient Magnitudes
h2o.transform Transform words to vectors using a word2vec model.
h2o.tolower To Lower
h2o.toupper To Upper
h2o.tanh Compute the hyperbolic tangent of x
h2o.tot_withinss Get the total within cluster sum of squares.
h2o.tokenize Tokenize String
h2o.tan Compute the tangent of x
h2o.tabulate Tabulation between Two Columns of an H2OFrame
h2o.totss Get the total sum of squares.
h2o.trim Trim Space
h2o.word2vec Trains a word2vec model on a String column of an H2O data frame.
h2o.withinss Get the Within SS
h2o.varimp_plot Plot Variable Importances
h2o.varimp Retrieve the variable importance.
h2o.unique H2O Unique
h2o.trunc trunc takes a single numeric argument x and returns a numeric vector containing the integers
h2o.weights Retrieve the respective weight matrix
h2o.week Convert Milliseconds to Week of Week Year in H2O Datasets
h2o.which Which indices are TRUE?
h2o.var Variance of a column or covariance of columns.
H2OFrame-Extract Extract or Replace Parts of an H2OFrame Object
H2OModel-class The H2OModel object.
h2o.year Convert Milliseconds to Years in H2O Datasets
H2OConnection-class The H2OConnection class.
Ops.H2OFrame S3 Group Generic Functions for H2O
H2OModelMetrics-class The H2OModelMetrics Object.
H2OGrid-class H2O Grid
H2OModelFuture-class H2O Future Model
H2OClusteringModel-class The H2OClusteringModel object.
housevotes United States Congressional Voting Records 1984
Logical-or Logical or for H2OFrames
names.H2OFrame Column names of an H2OFrame
is.numeric Check if numeric
is.factor Check if factor
iris Edgar Anderson's Iris Data
is.character Check if character
is.h2o Is H2O Frame object
plot.H2OTabulate Plot an H2O Tabulate Heatmap
ModelAccessors Accessor Methods for H2OModel Object
plot.H2OModel Plot an H2O Model
range.H2OFrame Range of an H2O Column
use.package Use optional package
summary,H2OModel-method Print the Model Summary
print.H2OFrame Print An H2OFrame
str.H2OFrame Display the structure of an H2OFrame object
print.H2OTable Print method for H2OTable objects
predict_leaf_node_assignment.H2OModel Predict the Leaf Node Assignment on an H2O Model
summary,H2OGrid-method Format grid object in user-friendly way
predict.H2OModel Predict on an H2O Model
prostate Prostate Cancer Study
walking Muscular Actuations for Walking Subject
zzz Shutdown H2O cloud after examples run
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Details

Type Package
Date 2017-02-21
License Apache License (== 2.0)
URL https://github.com/h2oai/h2o-3
BugReports http://jira.h2o.ai
NeedsCompilation no
SystemRequirements Java (>= 1.7)
Packaged 2017-02-22 00:47:36 UTC; jenkins
Repository CRAN
Date/Publication 2017-02-22 08:42:25

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