&&                      Logical and for H2OFrames
H2OAutoML-class         The H2OAutoML class
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
H2OGrid-class           H2O Grid
H2OModel-class          The H2OModel object.
H2OModelFuture-class    H2O Future Model
H2OModelMetrics-class   The H2OModelMetrics Object.
Logical-or              Logical or for H2OFrames
ModelAccessors          Accessor Methods for H2OModel Object
Ops.H2OFrame            S3 Group Generic Functions for H2O
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.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
colnames                Returns the column names of an H2OFrame
dim.H2OFrame            Returns the Dimensions of an H2OFrame
dimnames.H2OFrame       Column names of an H2OFrame
h2o-package             H2O R Interface
h2o.abs                 Compute the absolute value of x
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.as_date             Functions to convert between character
                        representations and objects of class "Date"
                        representing calendar dates.
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.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.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.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.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.gainsLift           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.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.is_client           Check Client Mode Connection
h2o.isax                iSAX
h2o.ischaracter         Check if character
h2o.isfactor            Check if factor
h2o.isnumeric           Check if numeric
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.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.mean                Compute the frame's mean by-column (or by-row).
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.mktime              Compute msec since the Unix Epoch
h2o.month               Convert Milliseconds to Months in H2O Datasets
h2o.mse                 Retrieves Mean Squared Error Value
h2o.na_omit             Remove Rows With NAs
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.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.predict_json        H2O Prediction from R without having H2O
                        running
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.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.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.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.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.tan                 Compute the tangent of x
h2o.tanh                Compute the hyperbolic tangent of x
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.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.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.toupper             Convert strings to uppercase
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.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
housevotes              United States Congressional Voting Records 1984
iris                    Edgar Anderson's Iris Data
is.character            Check if character
is.factor               Check if factor
is.h2o                  Is H2O Frame object
is.numeric              Check if numeric
names.H2OFrame          Column names of an H2OFrame
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
range.H2OFrame          Range of an H2O Column
str.H2OFrame            Display the structure of an H2OFrame object
summary,H2OGrid-method
                        Format grid object in user-friendly way
summary,H2OModel-method
                        Print the Model Summary
use.package             Use optional package
walking                 Muscular Actuations for Walking Subject
zzz                     Shutdown H2O cloud after examples run
