h2o v3.10.5.3

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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
H2OModelMetrics-class The H2OModelMetrics Object.
Logical-or Logical or for H2OFrames
H2OModel-class The H2OModel object.
H2OModelFuture-class H2O Future Model
H2OClusteringModel-class The H2OClusteringModel object.
H2OConnection-class The H2OConnection class.
H2OFrame-Extract Extract or Replace Parts of an H2OFrame Object
H2OFrame-class The H2OFrame class
Ops.H2OFrame S3 Group Generic Functions for H2O
H2OGrid-class H2O Grid
ModelAccessors Accessor Methods for H2OModel Object
aaa Starting H2O For examples
dimnames.H2OFrame Column names of an H2OFrame
h2o-package H2O R Interface
&& Logical and for H2OFrames
apply Apply on H2O Datasets
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".
h2o.all Given a set of logical vectors, are all of the values true?
as.factor Convert H2O Data to Factors
as.h2o Create H2OFrame
h2o.abs Compute the absolute value of x
h2o.assign Rename an H2O object.
h2o.auc Retrieve the AUC
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.anyFactor Check H2OFrame columns for factors
h2o.arrange Sorts H2OFrame by the columns specified. Returns a new H2OFrame, like dplyr::arrange.
h2o.clearLog Delete All H2O R Logs
h2o.clusterInfo Print H2O cluster info
as.matrix.H2OFrame Convert an H2OFrame to a matrix
as.numeric Convert H2O Data to Numeric
as.vector.H2OFrame Convert an H2OFrame to a vector
australia Australia Coastal Data
h2o.as_date Functions to convert between character representations and objects of class "Date" representing calendar dates.
h2o.ascharacter Convert H2O Data to Characters
h2o.bottomN H2O bottomN
h2o.cbind Combine H2O Datasets by Columns
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".
as.character.H2OFrame Convert an H2OFrame to a String
as.data.frame.H2OFrame Converts parsed H2O data into an R data frame
colnames Returns the column names of an H2OFrame
dim.H2OFrame Returns the Dimensions of an H2OFrame
h2o.columns_by_type Obtain a list of columns that are specified by `coltype`
h2o.computeGram Compute weighted gram matrix.
h2o.cummax Return the cumulative max over a column or across a row
h2o.cummin Return the cumulative min over a column or across a row
h2o.biases Return the respective bias vector
h2o.clusterIsUp Determine if an H2O cluster is up or not
h2o.clusterStatus Return the status of the cluster
h2o.cosh Compute the hyperbolic cosine of x
h2o.cumprod Return the cumulative product over a column or across a row
h2o.cumsum Return the cumulative sum over a column or across a row
h2o.deepwater.available Ask the H2O server whether a Deep Water model can be built (depends on availability of native backends) Returns TRUE if a Deep Water model can be built, or FALSE otherwise.
h2o.describe H2O Description of A Dataset
h2o.acos Compute the arc cosine of x
h2o.anomaly Anomaly Detection via H2O Deep Learning Model
h2o.any Given a set of logical vectors, is at least one of the values true?
h2o.ceiling ceiling takes a single numeric argument x and returns a numeric vector containing the smallest integers not less than the corresponding elements of x.
h2o.createFrame Data H2OFrame Creation in H2O
h2o.cut Cut H2O Numeric Data to Factor
h2o.day Convert Milliseconds to Day of Month in H2O Datasets
h2o.download_mojo Download the model in MOJO format.
h2o.fillna fillNA
h2o.filterNACols Filter NA Columns
h2o.getGLMFullRegularizationPath Extract full regularization path from glm model (assuming it was run with lambda search option)
h2o.getGrid Get a grid object from H2O distributed K/V store.
h2o.getTimezone Get the Time Zone on the H2O Cloud Returns a string
h2o.getTypes Get the types-per-column
h2o.head Return the Head or Tail of an H2O Dataset.
h2o.hist Compute A Histogram
h2o.killMinus3 Dump the stack into the JVM's stdout.
h2o.asfactor Convert H2O Data to Factors
h2o.asnumeric Convert H2O Data to Numerics
h2o.centersSTD Retrieve the Model Centers STD
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.confusionMatrix Access H2O Confusion Matrices
h2o.connect Connect to a running H2O instance.
h2o.cor Correlation of columns.
h2o.cos Compute the cosine of x
h2o.download_pojo Download the Scoring POJO (Plain Old Java Object) of an H2O Model
h2o.exportFile Export an H2O Data Frame (H2OFrame) to a File or to a collection of Files.
h2o.exportHDFS Export a Model to HDFS
h2o.getFrame Get an R Reference to an H2O Dataset, that will NOT be GC'd by default
h2o.coef Return the coefficients that can be applied to the non-standardized data.
h2o.cross_validation_models Retrieve the cross-validation models
h2o.cross_validation_predictions Retrieve the cross-validation predictions
h2o.grep Searches for matches to argument `pattern` within each element of a string column.
h2o.grid H2O Grid Support
h2o.impute Basic Imputation of H2O Vectors
h2o.centers Retrieve the Model Centers
h2o.coef_norm Return coefficients fitted on the standardized data (requires standardize = True, which is on by default). These coefficients can be used to evaluate variable importance.
h2o.colnames Return column names of an H2OFrame
h2o.cross_validation_fold_assignment Retrieve the cross-validation fold assignment
h2o.getFutureModel Get future model
h2o.deeplearning Build a Deep Neural Network model using CPUs Builds a feed-forward multilayer artificial neural network on an H2OFrame
h2o.deepwater Build a Deep Learning model using multiple native GPU backends Builds a deep neural network on an H2OFrame containing various data sources
h2o.downloadAllLogs Download H2O Log Files to Disk
h2o.dayOfWeek Convert Milliseconds to Day of Week in H2O Datasets
h2o.dct Compute DCT of an H2OFrame
h2o.difflag1 Conduct a lag 1 transform on a numeric H2OFrame column
h2o.downloadCSV Download H2O Data to Disk
h2o.find_threshold_by_max_metric Find the threshold, give the max metric
h2o.floor floor takes a single numeric argument x and returns a numeric vector containing the largest integers not greater than the corresponding elements of x.
h2o.flow Open H2O Flow
h2o.dim Returns the number of rows and columns for an H2OFrame object.
h2o.entropy Shannon entropy
h2o.exp Compute the exponential function of x
h2o.getId Get back-end distributed key/value store id from an H2OFrame.
h2o.init Initialize and Connect to H2O
h2o.isnumeric Check if numeric
h2o.kfold_column Produce a k-fold column vector.
h2o.loadModel Load H2O Model from HDFS or Local Disk
h2o.log Compute the logarithm of x
h2o.match Value Matching in H2O
h2o.max Returns the maxima of the input values.
h2o.mean Compute the frame's mean by-column (or by-row).
h2o.kmeans Performs k-means clustering on an H2O dataset.
h2o.listTimezones List all of the Time Zones Acceptable by the H2O Cloud.
h2o.list_all_extensions List all H2O registered extensions
h2o.getModel Get an R reference to an H2O model
h2o.group_by Group and Apply by Column
h2o.gsub String Global Substitute
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.gainsLift Access H2O Gains/Lift Tables
h2o.glm Fits a generalized linear model, specified by a response variable, a set of predictors, and a description of the error distribution.
h2o.glrm Generalized low rank decomposition of an H2O data frame.
h2o.import_sql_select Import SQL table that is result of SELECT SQL query into H2O
h2o.hour Convert Milliseconds to Hour of Day in H2O Datasets
h2o.insertMissingValues Insert Missing Values into an H2OFrame
h2o.interaction Categorical Interaction Feature Creation in H2O
h2o.list_api_extensions List registered API extensions
h2o.list_core_extensions List registered core extensions
h2o.mean_per_class_error Retrieve the mean per class error
h2o.networkTest View Network Traffic Speed
h2o.nlevels Get the number of factor levels for this frame.
h2o.log2 Compute the log2 of x
h2o.logAndEcho Log a message on the server-side logs
h2o.mean_residual_deviance Retrieve the Mean Residual Deviance value
h2o.lstrip Strip set from left
h2o.mae Retrieve the Mean Absolute Error Value
h2o.month Convert Milliseconds to Months in H2O Datasets
h2o.mse Retrieves Mean Squared Error Value
h2o.import_sql_table Import SQL Table into H2O
h2o.ischaracter Check if character
h2o.isfactor Check if factor
h2o.log10 Compute the log10 of x
h2o.log1p Compute the log1p of x
h2o.logloss Retrieve the Log Loss Value
h2o.ls List Keys on an H2O Cluster
h2o.min Returns the minima of the input values.
h2o.na_omit Remove Rows With NAs
h2o.nacnt Count of NAs per column
h2o.openLog View H2O R Logs
h2o.parseRaw H2O Data Parsing
h2o.prcomp Principal components analysis of an H2O data frame using the power method to calculate the singular value decomposition of the Gram matrix.
h2o.cross_validation_holdout_predictions Retrieve the cross-validation holdout predictions
h2o.ddply Split H2O Dataset, Apply Function, and Return Results
h2o.deepfeatures Feature Generation via H2O Deep Learning or DeepWater Model
h2o.dimnames Column names of an H2OFrame
h2o.median H2O Median
h2o.naiveBayes Compute naive Bayes probabilities on an H2O dataset.
h2o.names Column names of an H2OFrame
h2o.parseSetup Get a parse setup back for the staged data.
h2o.mktime Compute msec since the Unix Epoch
h2o.no_progress Disable Progress Bar
h2o.nrow Return the number of rows present in x.
h2o.performance Model Performance Metrics in H2O
h2o.pivot Pivot the frame designated by the three columns: index, column, and value. Index and column should be of type enum, int, or time. For cases of multiple indexes for a column label, the aggregation method is to pick the first occurrence in the data frame
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.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.r2 Retrieve the R2 value
h2o.randomForest Builds a Random Forest Model on an H2OFrame
h2o.rep_len Replicate Elements of Vectors or Lists into H2O
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.sd Standard Deviation of a column of data.
h2o.predict_json H2O Prediction from R without having H2O running
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.rm Delete Objects In H2O
h2o.scale Scaling and Centering of an H2OFrame
h2o.scoreHistory Retrieve Model Score History
h2o.skewness Skewness of a column
h2o.splitFrame Split an H2O Data Set
h2o.sum Compute the frame's sum by-column (or by-row).
h2o.proj_archetypes Convert Archetypes to Features from H2O GLRM Model
h2o.quantile Quantiles of H2O Frames.
h2o.rmse Retrieves Root Mean Squared Error Value
h2o.round Round doubles/floats to the given number of decimal places.
h2o.sdev Retrieve the standard deviations of principal components
h2o.setLevels Set Levels of H2O Factor Column
h2o.setTimezone Set the Time Zone on the H2O Cloud
h2o.stringdist Compute element-wise string distances between two H2OFrames. Both frames need to have the same shape (N x M) and only contain string/factor columns. Return a matrix (H2OFrame) of shape N x M.
h2o.distance Compute a pairwise distance measure between all rows of two numeric H2OFrames.
h2o.findSynonyms Find synonyms using a word2vec model.
h2o.find_row_by_threshold Find the threshold, give the max metric. No duplicate thresholds allowed
h2o.gbm Builds gradient boosted classification trees and gradient boosted regression trees on a parsed data set.
h2o.rmsle Retrieve the Root Mean Squared Log Error
h2o.partialPlot Partial Dependence Plots
h2o.range Returns a vector containing the minimum and maximum of all the given arguments.
h2o.rbind Combine H2O Datasets by Rows
h2o.reconstruct Reconstruct Training Data via H2O GLRM Model
h2o.relevel Reorders levels of an H2O factor, similarly to standard R's relevel.
h2o.strsplit String Split
h2o.tokenize Tokenize String
h2o.tolower Convert strings to lowercase
h2o.transform Transform words (or sequences of words) to vectors using a word2vec model.
h2o.trim Trim Space
h2o.which_max Which indice contains the max value?
h2o.which_min Which index contains the min value?
predict.H2OModel Predict on an H2O Model
h2o.summary Summarizes the columns of an H2OFrame.
h2o.svd Singular value decomposition of an H2O data frame using the power method.
h2o.table Cross Tabulation and Table Creation in H2O
h2o.trunc trunc takes a single numeric argument x and returns a numeric vector containing the integers formed by truncating the values in x toward 0.
h2o.rstrip Strip set from right
h2o.show_progress Enable Progress Bar
h2o.shutdown Shut Down H2O Instance
h2o.sub String Substitute
h2o.substring Substring
h2o.tanh Compute the hyperbolic tangent of x
h2o.toFrame Converts a given word2vec model into H2OFrame. The frame represents learned word embeddings
h2o.varimp_plot Plot Variable Importances
h2o.week Convert Milliseconds to Week of Week Year in H2O Datasets
h2o.xgboost Builds a eXtreme Gradient Boosting model using the native XGBoost backend
h2o.xgboost.available Ask the H2O server whether a XGBoost model can be built (depends on availability of native backend) Returns True if a XGBoost model can be built, or False otherwise.
plot.H2OModel Plot an H2O Model
plot.H2OTabulate Plot an H2O Tabulate Heatmap
h2o.getConnection Retrieve an H2O Connection
h2o.getVersion Get h2o version
h2o.giniCoef Retrieve the GINI Coefficcient
h2o.ifelse H2O Apply Conditional Statement
h2o.importFile Import Files into H2O
h2o.is_client Check Client Mode Connection
h2o.isax iSAX
h2o.kurtosis Kurtosis of a column
h2o.levels Return the levels from the column requested column.
h2o.makeGLMModel Set betas of an existing H2O GLM Model
h2o.make_metrics Create Model Metrics from predicted and actual values in H2O
predict_leaf_node_assignment.H2OModel Predict the Leaf Node Assignment on an H2O Model
summary,H2OModel-method Print the Model Summary
use.package Use optional package
h2o.unique H2O Unique
h2o.year Convert Milliseconds to Years in H2O Datasets
housevotes United States Congressional Voting Records 1984
is.numeric Check if numeric
h2o.merge Merge Two H2O Data Frames
h2o.metric H2O Model Metric Accessor Functions
h2o.nchar String length
h2o.ncol Return the number of columns present in x.
h2o.num_iterations Retrieve the number of iterations.
h2o.num_valid_substrings Count of substrings >= 2 chars that are contained in file
h2o.print Print An H2OFrame
h2o.prod Return the product of all the values present in its arguments.
h2o.removeAll Remove All Objects on the H2O Cluster
h2o.removeVecs Delete Columns from an H2OFrame
h2o.saveModelDetails Save an H2O Model Details
h2o.saveMojo Save an H2O Model Object as Mojo to Disk
h2o.sqrt Compute the square root of x
h2o.stackedEnsemble Build a stacked ensemble (aka. Super Learner) using the H2O base learning algorithms specified by the user.
h2o.startLogging Start Writing H2O R Logs
h2o.std_coef_plot Plot Standardized Coefficient Magnitudes
h2o.tabulate Tabulation between Two Columns of an H2OFrame
print.H2OFrame Print An H2OFrame
print.H2OTable Print method for H2OTable objects
names.H2OFrame Column names of an H2OFrame
str.H2OFrame Display the structure of an H2OFrame object
summary,H2OGrid-method Format grid object in user-friendly way
h2o.runif Produce a Vector of Random Uniform Numbers
h2o.saveModel Save an H2O Model Object to Disk
h2o.signif Round doubles/floats to the given number of significant digits.
h2o.sin Compute the sine of x
h2o.stopLogging Stop Writing H2O R Logs
h2o.str Display the structure of an H2OFrame object
h2o.topN H2O topN
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.tan Compute the tangent of x
h2o.toupper Convert strings to uppercase
h2o.weights Retrieve the respective weight matrix
h2o.which Which indices are TRUE?
is.factor Check if factor
is.h2o Is H2O Frame object
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.var Variance of a column or covariance of columns.
h2o.varimp Retrieve the variable importance.
h2o.withinss Get the Within SS
h2o.word2vec Trains a word2vec model on a String column of an H2O data frame.
iris Edgar Anderson's Iris Data
is.character Check if character
prostate Prostate Cancer Study
range.H2OFrame Range of an H2O Column
walking Muscular Actuations for Walking Subject
zzz Shutdown H2O cloud after examples run
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Details

Type Package
Date 2017-06-30
License Apache License (== 2.0)
URL https://github.com/h2oai/h2o-3
BugReports http://jira.h2o.ai
NeedsCompilation no
SystemRequirements Java (>= 1.7)
Packaged 2017-06-30 23:15:29 UTC; jenkins
Repository CRAN
Date/Publication 2017-07-01 07:53:41 UTC

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