# R Interface for H2O

## Documentation for package ‘h2o’ version 3.16.0.2

- DESCRIPTION file.
- Code demos. Use demo() to run them.
- Package NEWS.

## Help Pages

A C D G H I K L M N O P Q R S T U V W Y Z misc

h2o-package | H2O R Interface

## -- A --

aaa | Starting H2O For examples
apply | Apply on H2O Datasets
as.character.H2OFrame | Convert an H2OFrame to a String
as.data.frame.H2OFrame | Converts parsed H2O data into an R data frame
as.factor | Convert H2O Data to Factors
as.h2o | Create H2OFrame
as.h2o.data.frame | Create H2OFrame
as.h2o.default | Create H2OFrame
as.h2o.H2OFrame | Create H2OFrame
as.h2o.Matrix | Create H2OFrame
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

## -- C --

colnames | Returns the column names of an H2OFrame
colnames<- | S3 Group Generic Functions for H2O
cor | Correlation of columns.
cut.H2OFrame | Cut H2O Numeric Data to Factor

## -- D --

day | Convert Milliseconds to Day of Month in H2O Datasets
day.H2OFrame | Convert Milliseconds to Day of Month in H2O Datasets
dayOfWeek | Convert Milliseconds to Day of Week in H2O Datasets
dayOfWeek.H2OFrame | Convert Milliseconds to Day of Week in H2O Datasets
dim.H2OFrame | Returns the Dimensions of an H2OFrame
dimnames.H2OFrame | Column names of an H2OFrame

## -- G --

getBetweenSS | Accessor Methods for H2OModel Object
getBetweenSS-method | Accessor Methods for H2OModel Object
getCenters | Accessor Methods for H2OModel Object
getCenters-method | Accessor Methods for H2OModel Object
getCentersStd | Accessor Methods for H2OModel Object
getCentersStd-method | Accessor Methods for H2OModel Object
getClusterSizes | Accessor Methods for H2OModel Object
getClusterSizes-method | Accessor Methods for H2OModel Object
getIterations | Accessor Methods for H2OModel Object
getIterations-method | Accessor Methods for H2OModel Object
getParms | Accessor Methods for H2OModel Object
getParms-method | Accessor Methods for H2OModel Object
getTotSS | Accessor Methods for H2OModel Object
getTotSS-method | Accessor Methods for H2OModel Object
getTotWithinSS | Accessor Methods for H2OModel Object
getTotWithinSS-method | Accessor Methods for H2OModel Object
getWithinSS | Accessor Methods for H2OModel Object
getWithinSS-method | Accessor Methods for H2OModel Object

## -- H --

h2o | H2O R Interface
h2o.abs | Compute the absolute value of x
h2o.accuracy | H2O Model Metric Accessor Functions
h2o.acos | Compute the arc cosine of x
h2o.aggregated_frame | Retrieve an aggregated frame from the Aggregator model
h2o.aggregator | Builds an Aggregated Frame of an H2OFrame
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?
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.anyFactor | Check H2OFrame columns for factors
h2o.arrange | Sorts H2OFrame by the columns specified. H2OFrame should not contain any String columns. Otherwise, an error will be thrown. To sort column c1 in descending order, do desc(c1). Returns a new H2OFrame, like dplyr::arrange.
h2o.ascharacter | Convert H2O Data to Characters
h2o.asfactor | Convert H2O Data to Factors
h2o.asnumeric | Convert H2O Data to Numerics
h2o.assign | Rename an H2O object.
h2o.as_date | Functions to convert between character representations and objects of class "Date" representing calendar dates.
h2o.auc | Retrieve the AUC
h2o.automl | Automatic Machine Learning
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.biases | Return the respective bias vector
h2o.bottomN | H2O bottomN
h2o.cbind | Combine H2O Datasets by Columns
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.centers | Retrieve the Model Centers
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.clearLog | Delete All H2O R Logs
h2o.clusterInfo | Print H2O cluster info
h2o.clusterIsUp | Determine if an H2O cluster is up or not
h2o.clusterStatus | Return the status of the cluster
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.coef | Return the coefficients that can be applied to the non-standardized data.
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.columns_by_type | Obtain a list of columns that are specified by 'coltype'
h2o.computeGram | Compute weighted gram matrix.
h2o.confusionMatrix | Access H2O Confusion Matrices
h2o.confusionMatrix-method | 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.cosh | Compute the hyperbolic cosine of x
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.cross_validation_predictions | Retrieve the cross-validation predictions
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.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.cut | Cut H2O Numeric Data to Factor
h2o.day | Convert Milliseconds to Day of Month in H2O Datasets
h2o.dayOfWeek | Convert Milliseconds to Day of Week in H2O Datasets
h2o.dct | Compute DCT of an H2OFrame
h2o.ddply | Split H2O Dataset, Apply Function, and Return Results
h2o.decryptionSetup | Setup a Decryption Tool
h2o.deepfeatures | Feature Generation via H2O Deep Learning or DeepWater 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.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.difflag1 | Conduct a lag 1 transform on a numeric H2OFrame column
h2o.dim | Returns the number of rows and columns for an H2OFrame object.
h2o.dimnames | Column names of an H2OFrame
h2o.distance | Compute a pairwise distance measure between all rows of two numeric H2OFrames.
h2o.downloadAllLogs | Download H2O Log Files to Disk
h2o.downloadCSV | Download H2O Data to Disk
h2o.download_mojo | Download the model in MOJO format.
h2o.download_pojo | Download the Scoring POJO (Plain Old Java Object) of an H2O Model
h2o.entropy | Shannon entropy
h2o.error | H2O Model Metric Accessor Functions
h2o.exp | Compute the exponential function of x
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.F0point5 | H2O Model Metric Accessor Functions
h2o.F1 | H2O Model Metric Accessor Functions
h2o.F2 | H2O Model Metric Accessor Functions
h2o.fallout | H2O Model Metric Accessor Functions
h2o.fillna | fillNA
h2o.filterNACols | Filter NA Columns
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.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.fnr | H2O Model Metric Accessor Functions
h2o.fpr | H2O Model Metric Accessor Functions
h2o.gainsLift | Access H2O Gains/Lift Tables
h2o.gainsLift-method | Access H2O Gains/Lift Tables
h2o.gbm | Builds gradient boosted classification trees and gradient boosted regression trees on a parsed data set.
h2o.getConnection | Retrieve an H2O Connection
h2o.getFrame | Get an R Reference to an H2O Dataset, that will NOT be GC'd by default
h2o.getFutureModel | Get future model
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.getId | Get back-end distributed key/value store id from an H2OFrame.
h2o.getModel | Get an R reference to an H2O model
h2o.getTimezone | Get the Time Zone on the H2O Cloud Returns a string
h2o.getTypes | Get the types-per-column
h2o.getVersion | Get h2o version
h2o.giniCoef | Retrieve the GINI Coefficcient
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.grep | Searches for matches to argument 'pattern' within each element of a string column.
h2o.grid | H2O Grid Support
h2o.group_by | Group and Apply by Column
h2o.gsub | String Global Substitute
h2o.head | Return the Head or Tail of an H2O Dataset.
h2o.hist | Compute A Histogram
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.hour | Convert Milliseconds to Hour of Day in H2O Datasets
h2o.ifelse | H2O Apply Conditional Statement
h2o.importFile | Import Files into H2O
h2o.importFolder | Import Files into H2O
h2o.importHDFS | Import Files into H2O
h2o.import_sql_select | Import SQL table that is result of SELECT SQL query into H2O
h2o.import_sql_table | Import SQL Table into H2O
h2o.impute | Basic Imputation of H2O Vectors
h2o.init | Initialize and Connect to H2O
h2o.insertMissingValues | Insert Missing Values into an H2OFrame
h2o.interaction | Categorical Interaction Feature Creation in H2O
h2o.isax | iSAX
h2o.ischaracter | Check if character
h2o.isfactor | Check if factor
h2o.isnumeric | Check if numeric
h2o.is_client | Check Client Mode Connection
h2o.kfold_column | Produce a k-fold column vector.
h2o.killMinus3 | Dump the stack into the JVM's stdout.
h2o.kmeans | Performs k-means clustering on an H2O dataset.
h2o.kurtosis | Kurtosis of a column
h2o.length | S3 Group Generic Functions for H2O
h2o.levels | Return the levels from the column requested column.
h2o.listTimezones | List all of the Time Zones Acceptable by the H2O Cloud.
h2o.list_all_extensions | List all H2O registered extensions
h2o.list_api_extensions | List registered API extensions
h2o.list_core_extensions | List registered core extensions
h2o.loadModel | Load H2O Model from HDFS or Local Disk
h2o.log | Compute the logarithm of x
h2o.log10 | Compute the log10 of x
h2o.log1p | Compute the log1p of x
h2o.log2 | Compute the log2 of x
h2o.logAndEcho | Log a message on the server-side logs
h2o.logloss | Retrieve the Log Loss Value
h2o.ls | List Keys on an H2O Cluster
h2o.lstrip | Strip set from left
h2o.mae | Retrieve the Mean Absolute Error Value
h2o.makeGLMModel | Set betas of an existing H2O GLM Model
h2o.make_metrics | Create Model Metrics from predicted and actual values in H2O
h2o.match | Value Matching in H2O
h2o.max | Returns the maxima of the input values.
h2o.maxPerClassError | H2O Model Metric Accessor Functions
h2o.mcc | H2O Model Metric Accessor Functions
h2o.mean | Compute the frame's mean by-column (or by-row).
h2o.mean_per_class_accuracy | H2O Model Metric Accessor Functions
h2o.mean_per_class_error | Retrieve the mean per class error
h2o.mean_residual_deviance | Retrieve the Mean Residual Deviance value
h2o.median | H2O Median
h2o.merge | Merge Two H2O Data Frames
h2o.metric | H2O Model Metric Accessor Functions
h2o.min | Returns the minima of the input values.
h2o.missrate | H2O Model Metric Accessor Functions
h2o.mktime | Compute msec since the Unix Epoch
h2o.month | Convert Milliseconds to Months in H2O Datasets
h2o.mse | Retrieves Mean Squared Error Value
h2o.nacnt | Count of NAs per column
h2o.naiveBayes | Compute naive Bayes probabilities on an H2O dataset.
h2o.names | Column names of an H2OFrame
h2o.na_omit | Remove Rows With NAs
h2o.nchar | String length
h2o.ncol | Return the number of columns present in x.
h2o.networkTest | View Network Traffic Speed
h2o.nlevels | Get the number of factor levels for this frame.
h2o.no_progress | Disable Progress Bar
h2o.nrow | Return the number of rows present in x.
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.num_iterations | Retrieve the number of iterations.
h2o.num_valid_substrings | Count of substrings >= 2 chars that are contained in file
h2o.openLog | View H2O R Logs
h2o.parseRaw | H2O Data Parsing
h2o.parseSetup | Get a parse setup back for the staged data.
h2o.partialPlot | Partial Dependence Plots
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.prcomp | Principal components analysis of an H2O data frame using the power method to calculate the singular value decomposition of the Gram matrix.
h2o.precision | H2O Model Metric Accessor Functions
h2o.predict | Predict on an H2O Model
h2o.predict_json | H2O Prediction from R without having H2O running
h2o.predict_leaf_node_assignment | Predict the Leaf Node Assignment on an H2O Model
h2o.print | Print An H2OFrame
h2o.prod | Return the product of all the values present in its arguments.
h2o.proj_archetypes | Convert Archetypes to Features from H2O GLRM Model
h2o.quantile | Quantiles of H2O Frames.
h2o.r2 | Retrieve the R2 value
h2o.randomForest | Builds a Random Forest Model on an H2OFrame
h2o.range | Returns a vector containing the minimum and maximum of all the given arguments.
h2o.rbind | Combine H2O Datasets by Rows
h2o.recall | H2O Model Metric Accessor Functions
h2o.reconstruct | Reconstruct Training Data via H2O GLRM Model
h2o.relevel | Reorders levels of an H2O factor, similarly to standard R's relevel.
h2o.removeAll | Remove All Objects on the H2O Cluster
h2o.removeVecs | Delete Columns from 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.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.rmse | Retrieves Root Mean Squared Error Value
h2o.rmsle | Retrieve the Root Mean Squared Log Error
h2o.round | Round doubles/floats to the given number of decimal places.
h2o.rstrip | Strip set from right
h2o.runif | Produce a Vector of Random Uniform Numbers
h2o.saveModel | Save an H2O Model Object to Disk
h2o.saveModelDetails | Save an H2O Model Details
h2o.saveMojo | Save an H2O Model Object as Mojo to Disk
h2o.scale | Scaling and Centering of an H2OFrame
h2o.scoreHistory | Retrieve Model Score History
h2o.sd | Standard Deviation of a column of data.
h2o.sdev | Retrieve the standard deviations of principal components
h2o.sensitivity | H2O Model Metric Accessor Functions
h2o.setLevels | Set Levels of H2O Factor Column
h2o.setTimezone | Set the Time Zone on the H2O Cloud
h2o.show_progress | Enable Progress Bar
h2o.shutdown | Shut Down H2O Instance
h2o.signif | Round doubles/floats to the given number of significant digits.
h2o.sin | Compute the sine of x
h2o.skewness | Skewness of a column
h2o.specificity | H2O Model Metric Accessor Functions
h2o.splitFrame | Split an H2O Data Set
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.stopLogging | Stop Writing H2O R Logs
h2o.str | Display the structure of an H2OFrame object
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.strsplit | String Split
h2o.sub | String Substitute
h2o.substr | Substring
h2o.substring | Substring
h2o.sum | Compute the frame's sum by-column (or by-row).
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.tabulate | Tabulation between Two Columns of an H2OFrame
h2o.tail | Return the Head or Tail of an H2O Dataset.
h2o.tan | Compute the tangent of x
h2o.tanh | Compute the hyperbolic tangent of x
h2o.tnr | H2O Model Metric Accessor Functions
h2o.toFrame | Converts a given word2vec model into H2OFrame. The frame represents learned word embeddings
h2o.tokenize | Tokenize String
h2o.tolower | Convert strings to lowercase
h2o.topN | H2O topN
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.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.toupper | Convert strings to uppercase
h2o.tpr | H2O Model Metric Accessor Functions
h2o.transform | Transform words (or sequences of words) to vectors using a word2vec model.
h2o.trim | Trim Space
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.unique | H2O Unique
h2o.uploadFile | Import Files into H2O
h2o.var | Variance of a column or covariance of columns.
h2o.varimp | Retrieve the variable importance.
h2o.varimp_plot | Plot Variable Importances
h2o.week | Convert Milliseconds to Week of Week Year in H2O Datasets
h2o.weights | Retrieve the respective weight matrix
h2o.which | Which indices are TRUE?
h2o.which_max | Which indice contains the max value?
h2o.which_min | Which index contains the min value?
h2o.withinss | Get the Within SS
h2o.word2vec | Trains a word2vec model on a String column of an H2O data frame.
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.
h2o.year | Convert Milliseconds to Years in H2O Datasets
H2OAutoEncoderMetrics-class | The H2OModelMetrics Object.
H2OAutoEncoderModel-class | The H2OModel object.
H2OAutoML-class | The H2OAutoML class
H2OBinomialMetrics-class | The H2OModelMetrics Object.
H2OBinomialModel-class | The H2OModel object.
H2OClusteringMetrics-class | The H2OModelMetrics Object.
H2OClusteringModel-class | The H2OClusteringModel object.
H2OConnection | The H2OConnection class.
H2OConnection-class | The H2OConnection class.
H2ODimReductionMetrics-class | The H2OModelMetrics Object.
H2ODimReductionModel-class | The H2OModel object.
H2OFrame-class | The H2OFrame class
H2OFrame-Extract | Extract or Replace Parts of an H2OFrame Object
H2OGrid | H2O Grid
H2OGrid-class | H2O Grid
H2OModel | The H2OModel object.
H2OModel-class | The H2OModel object.
H2OModelFuture-class | H2O Future Model
H2OModelMetrics | The H2OModelMetrics Object.
H2OModelMetrics-class | The H2OModelMetrics Object.
H2OMultinomialMetrics-class | The H2OModelMetrics Object.
H2OMultinomialModel-class | The H2OModel object.
H2ORegressionMetrics-class | The H2OModelMetrics Object.
H2ORegressionModel-class | The H2OModel object.
H2OUnknownMetrics-class | The H2OModelMetrics Object.
H2OUnknownModel-class | The H2OModel object.
H2OWordEmbeddingMetrics-class | The H2OModelMetrics Object.
H2OWordEmbeddingModel-class | The H2OModel object.
head.H2OFrame | Return the Head or Tail of an H2O Dataset.
hour | Convert Milliseconds to Hour of Day in H2O Datasets
hour.H2OFrame | Convert Milliseconds to Hour of Day in H2O Datasets
housevotes | United States Congressional Voting Records 1984

## -- I --

ifelse | H2O Apply Conditional Statement
iris | Edgar Anderson's Iris Data
is.character | Check if character
is.factor | Check if factor
is.h2o | Is H2O Frame object
is.na.H2OFrame | S3 Group Generic Functions for H2O
is.numeric | Check if numeric

## -- K --

kurtosis.H2OFrame | Kurtosis of a column

## -- L --

length.H2OFrame | S3 Group Generic Functions for H2O
log | S3 Group Generic Functions for H2O
log10 | S3 Group Generic Functions for H2O
log1p | S3 Group Generic Functions for H2O
log2 | S3 Group Generic Functions for H2O
Logical-or | Logical or for H2OFrames

## -- M --

match.H2OFrame | Value Matching in H2O
Math.H2OFrame | S3 Group Generic Functions for H2O
mean.H2OFrame | Compute the frame's mean by-column (or by-row).
median.H2OFrame | H2O Median
ModelAccessors | Accessor Methods for H2OModel Object
month | Convert Milliseconds to Months in H2O Datasets
month.H2OFrame | Convert Milliseconds to Months in H2O Datasets

## -- N --

names.H2OFrame | Column names of an H2OFrame
names<-.H2OFrame | S3 Group Generic Functions for H2O
ncol.H2OFrame | S3 Group Generic Functions for H2O
nrow.H2OFrame | S3 Group Generic Functions for H2O

## -- O --

Ops.H2OFrame | S3 Group Generic Functions for H2O

## -- P --

plot.H2OModel | Plot an H2O Model
plot.H2OTabulate | Plot an H2O Tabulate Heatmap
predict.H2OAutoML | Predict on an AutoML object
predict.H2OModel | Predict on an H2O Model
predict_leaf_node_assignment.H2OModel | Predict the Leaf Node Assignment on an H2O Model
print.H2OFrame | Print An H2OFrame
print.H2OTable | Print method for H2OTable objects
prostate | Prostate Cancer Study

## -- Q --

quantile.H2OFrame | Quantiles of H2O Frames.

## -- R --

range.H2OFrame | Range of an H2O Column
round | Round doubles/floats to the given number of decimal places.

## -- S --

scale.H2OFrame | Scaling and Centering of an H2OFrame
sd | Standard Deviation of a column of data.
show-method | The H2OConnection class.
show-method | H2O Grid
show-method | The H2OModel object.
show-method | The H2OModelMetrics Object.
signif | Round doubles/floats to the given number of significant digits.
skewness.H2OFrame | Skewness of a column
str.H2OFrame | Display the structure of an H2OFrame object
summary-method | Format grid object in user-friendly way
summary-method | Print the Model Summary
Summary.H2OFrame | S3 Group Generic Functions for H2O
summary.H2OFrame | Summarizes the columns of an H2OFrame.

## -- T --

t.H2OFrame | S3 Group Generic Functions for H2O
table.H2OFrame | Cross Tabulation and Table Creation in H2O
tail.H2OFrame | Return the Head or Tail of an H2O Dataset.
trunc | S3 Group Generic Functions for H2O

## -- U --

use.package | Use optional package

## -- V --

var | Variance of a column or covariance of columns.

## -- W --

walking | Muscular Actuations for Walking Subject
week | Convert Milliseconds to Week of Week Year in H2O Datasets
week.H2OFrame | Convert Milliseconds to Week of Week Year in H2O Datasets
which.max.H2OFrame | Which indice contains the max value?
which.min.H2OFrame | Which indice contains the max value?

## -- Y --

year | Convert Milliseconds to Years in H2O Datasets
year.H2OFrame | Convert Milliseconds to Years in H2O Datasets

## -- Z --

zzz | Shutdown H2O cloud after examples run

## -- misc --

!.H2OFrame | S3 Group Generic Functions for H2O
$.H2OFrame | Extract or Replace Parts of an H2OFrame Object
$<-.H2OFrame | Extract or Replace Parts of an H2OFrame Object
%*% | S3 Group Generic Functions for H2O
%in% | Value Matching in H2O
&& | Logical and for H2OFrames
[-method | Extract or Replace Parts of an H2OFrame Object
[.H2OFrame | Extract or Replace Parts of an H2OFrame Object
[<-.H2OFrame | Extract or Replace Parts of an H2OFrame Object
[[.H2OFrame | Extract or Replace Parts of an H2OFrame Object
[[<-.H2OFrame | Extract or Replace Parts of an H2OFrame Object
|| | Logical or for H2OFrames