&&                      Logical and for H2OFrames
.addParm                TODO: No objects in this file are being used.
                        Either remove file or use objects.
.check_for_ggplot2      Stop with a user friendly message if a user is
                        missing the ggplot2 package or has an old
                        version of it.
.collapse               Helper Collapse Function
.consolidate_varimps    Consolidate variable importances
.create_leaderboard     Create a leaderboard like data frame for
                        'models'
.customized_call        A helper function that makes it easier to
                        override/add params in a function call.
.find_appropriate_column_name
                        Tries to match a 'fuzzy_col_name' with a column
                        name that exists in 'cols'.
.get_algorithm          Get the algoritm used by the model_or_model_id
.get_domain_mapping     Get a mapping between columns and their domains
.get_feature_count      Get feature count sorted by the count
                        descending.
.get_first_of_family    Get first of family models
.h2o.__ALL_CAPABILITIES
                        Capabilities endpoints
.h2o.__CREATE_FRAME     H2OFrame Manipulation
.h2o.__DECRYPTION_SETUP
                        Decryption Endpoints
.h2o.__DKV              Removal Endpoints
.h2o.__EXPORT_FILES     Export Files Endpoint Generator
.h2o.__FRAMES           Inspect/Summary Endpoints
.h2o.__IMPORT           Import/Export Endpoints
.h2o.__JOBS             Administrative Endpoints
.h2o.__LOGANDECHO       Log and Echo Endpoint
.h2o.__MODELS           Model Endpoint
.h2o.__MODEL_BUILDERS   Model Builder Endpoint Generator
.h2o.__MODEL_METRICS    Model Metrics Endpoint
.h2o.__PARSE_SETUP      Parse Endpoints
.h2o.__RAPIDS           Rapids Endpoint
.h2o.__REST_API_VERSION
                        H2O Package Constants
.h2o.__SEGMENT_MODELS_BUILDERS
                        Segment Models Builder Endpoint Generator
.h2o.__W2V_SYNONYMS     Word2Vec Endpoints
.h2o.__checkConnectionHealth
                        Check H2O Server Health
.h2o.doGET              Just like doRawGET but fills in the default
                        h2oRestApiVersion if none is provided
.h2o.doPOST             Just like doRawPOST but fills in the default
                        h2oRestApiVersion if none is provided
.h2o.doRawGET           Perform a low-level HTTP GET operation on an
                        H2O instance
.h2o.doRawPOST          Perform a low-level HTTP POST operation on an
                        H2O instance
.h2o.doSafeGET          Perform a safe (i.e. error-checked) HTTP GET
                        request to an H2O cluster.
.h2o.doSafePOST         Perform a safe (i.e. error-checked) HTTP POST
                        request to an H2O cluster.
.h2o.is_progress        Check if Progress Bar is Enabled
.h2o.locate             Locate a file given the pattern
                        <bucket>/<path/to/file> e.g.
                        h2o:::.h2o.locate("smalldata/iris/iris22.csv")
                        returns the absolute path to iris22.csv
.h2o.perfect_auc        Internal function that calculates a precise AUC
                        from given probabilities and actual responses.
.h2o.primitives         Map of operations known to H2O
.has_model_coefficients
                        Has the 'model' coefficients?
.has_varimp             Has the model variable importance?
.interpretable          Is the model considered to be interpretable,
                        i.e., simple enough.
.is_h2o_model           Is the 'model' an H2O model?
.is_h2o_tree_model      Is the 'model' a Tree-based H2O Model?
.is_plotting_to_rnotebook
                        Check if we are plotting in to r notebook.
.leaderboard_for_row    Enhance leaderboard with per-model predictions.
.min_max                Min-max normalization.
.model_ids              Get Model Ids
.pkg.env                The H2O Package Environment
.plot_varimp            Plot variable importances with ggplot2
.process_models_or_automl
                        Do basic validation and transform 'object' to a
                        "standardized" list containing models, and
                        their properties such as 'x', 'y', whether it
                        is a (multinomial) clasification or not etc.
.shorten_model_ids      Shortens model ids if possible (iff there will
                        be same amount of unique model_ids as before)
.skip_if_not_developer
                        H2O <-> R Communication and Utility Methods
.uniformize             Convert to quantiles when provided with numeric
                        vector. When col is a factor vector assign
                        uniformly value between 0 and 1 to each level.
.varimp                 Get variable importance in a standardized way.
.verify_dataxy          Used to verify data, x, y and turn into the
                        appropriate things
H2OAutoML-class         The H2OAutoML class
H2OClusteringModel-class
                        The H2OClusteringModel object.
H2OConnection-class     The H2OConnection class.
H2OConnectionMutableState
                        The H2OConnectionMutableState class
H2OCoxPHModel-class     The H2OCoxPHModel object.
H2OCoxPHModelSummary-class
                        The H2OCoxPHModelSummary object.
H2OFrame-Extract        Extract or Replace Parts of an H2OFrame Object
H2OFrame-class          The H2OFrame class
H2OGrid-class           H2O Grid
H2OInfogram             wrapper function for instantiating H2OInfogram
H2OInfogram-class       H2OInfogram class
H2OLeafNode-class       The H2OLeafNode class.
H2OModel-class          The H2OModel object.
H2OModelFuture-class    H2O Future Model
H2OModelMetrics-class   The H2OModelMetrics Object.
H2ONode-class           The H2ONode class.
H2OSegmentModels-class
                        H2O Segment Models
H2OSegmentModelsFuture-class
                        H2O Future Segment Models
H2OSplitNode-class      The H2OSplitNode class.
H2OTree-class           The H2OTree class.
Keyed-class             Virtual Keyed class
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.data.frame.H2OSegmentModels
                        Converts a collection of Segment Models to a
                        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
case_insensitive_match_arg
                        Works like match.arg but ignores case
colnames                Returns the column names of an H2OFrame
dim.H2OFrame            Returns the Dimensions of an H2OFrame
dimnames.H2OFrame       Column names of an H2OFrame
feature_frequencies.H2OModel
                        Retrieve the number of occurrences of each
                        feature for given observations Available for
                        GBM, Random Forest and Isolation Forest models.
generate_col_ind        CHeck to see if the column names/indices
                        entered is valid for the dataframe given.  This
                        is an internal function
get_seed.H2OModel       Get the seed from H2OModel which was used
                        during training. If a user does not set the
                        seed parameter before training, the seed is
                        autogenerated. It returns seed as the string if
                        the value is bigger than the integer. For
                        example, an autogenerated seed is always long
                        so that the seed in R is a string.
h2o-package             H2O R Interface
h2o.HGLMMetrics         Retrieve HGLM ModelMetrics
h2o.abs                 Compute the absolute value of x
h2o.acos                Compute the arc cosine of x
h2o.aecu                Retrieve the default AECU (Average Excess
                        Cumulative Uplift = area between AUUC and
                        random AUUC)
h2o.aecu_table          Retrieve the all types of AECU (average excess
                        cumulative uplift) value in a table
h2o.aggregated_frame    Retrieve an aggregated frame from an Aggregator
                        model
h2o.aggregator          Build an Aggregated Frame
h2o.aic                 Retrieve the Akaike information criterion (AIC)
                        value
h2o.all                 Given a set of logical vectors, are all of the
                        values true?
h2o.anomaly             Anomaly Detection via H2O Deep Learning Model
h2o.anovaglm            H2O ANOVAGLM is used to calculate Type III SS
                        which is used to evaluate the contributions of
                        individual predictors and their interactions to
                        a model.  Predictors or interactions with
                        negligible contributions to the model will have
                        high p-values while those with more
                        contributions will have low p-values.
h2o.any                 Given a set of logical vectors, is at least one
                        of the values true?
h2o.anyFactor           Check H2OFrame columns for factors
h2o.api                 Perform a REST API request to a previously
                        connected server.
h2o.arrange             Sorts an H2O frame by columns
h2o.as_date             Convert between character representations and
                        objects of Date class
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.aucpr               Retrieve the AUCPR (Area Under Precision Recall
                        Curve)
h2o.automl              Automatic Machine Learning
h2o.auuc                Retrieve AUUC
h2o.auuc_normalized     Retrieve normalized AUUC
h2o.auuc_table          Retrieve the all types of AUUC in a table
h2o.average_objective   Extracts the final training average objective
                        function of a GLM model.
h2o.betweenss           Get the between cluster sum of squares
h2o.biases              Return the respective bias vector
h2o.bottomN             H2O bottomN
h2o.calculate_fairness_metrics
                        Calculate intersectional fairness metrics.
h2o.cbind               Combine H2O Datasets by Columns
h2o.ceiling             Take a single numeric argument and return a
                        numeric vector with the smallest integers
h2o.centers             Retrieve the Model Centers
h2o.centersSTD          Retrieve the Model Centers STD
h2o.centroid_stats      Retrieve centroid statistics
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
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.coef_with_p_values
                        Return the coefficients table with
                        coefficients, standardized coefficients,
                        p-values, z-values and std-error for GLM models
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.coxph               Trains a Cox Proportional Hazards Model (CoxPH)
                        on an H2O dataset
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.decision_tree       Build a Decision Tree model
h2o.decryptionSetup     Setup a Decryption Tool
h2o.deepfeatures        Feature Generation via H2O Deep Learning
h2o.deeplearning        Build a Deep Neural Network model using CPUs
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.disparate_analysis
                        Create a frame containing aggregations of
                        intersectional fairness across the models.
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_model      Download the model in binary format. The owner
                        of the file saved is the user by which python
                        session was executed.
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.drop_duplicates     Drops duplicated rows.
h2o.entropy             Shannon entropy
h2o.exp                 Compute the exponential function of x
h2o.explain             Generate Model Explanations
h2o.explain_row         Generate Model Explanations for a single row
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.extendedIsolationForest
                        Trains an Extended Isolation Forest model
h2o.fair_pd_plot        Partial dependence plot per protected group.
h2o.fair_pr_plot        Plot PR curve per protected group.
h2o.fair_roc_plot       Plot ROC curve per protected group.
h2o.fair_shap_plot      SHAP summary plot for one feature with
                        protected groups on y-axis.
h2o.feature_interaction
                        Feature interactions and importance, leaf
                        statistics and split value histograms in a
                        tabular form. Available for XGBoost and GBM.
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               Take a single numeric argument and return a
                        numeric vector with the largest integers
h2o.flow                Open H2O Flow
h2o.gainsLift           Access H2O Gains/Lift Tables
h2o.gains_lift_plot     Plot Gains/Lift curves
h2o.gains_lift_plot,H2OModel-method
                        Plot Gains/Lift curves
h2o.gains_lift_plot,H2OModelMetrics-method
                        Plot Gains/Lift curves
h2o.gam                 Fit a General Additive Model
h2o.gbm                 Build gradient boosted classification or
                        regression trees
h2o.generic             Imports a generic model into H2O. Such model
                        can be used then used for scoring and obtaining
                        additional information about the model. The
                        imported model has to be supported by H2O.
h2o.genericModel        Imports a model under given path, creating a
                        Generic model with it.
h2o.getAlphaBest        Extract best alpha value found from glm model.
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.getGLMFullRegularizationPath
                        Extract full regularization path from a GLM
                        model
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.getLambdaBest       Extract best lambda value found from glm model.
h2o.getLambdaMax        Extract the maximum lambda value used during
                        lambda search from glm model.
h2o.getLambdaMin        Extract the minimum lambda value calculated
                        during lambda search from glm model. Note that
                        due to early stop, this minimum lambda value
                        may not be used in the actual lambda search.
h2o.getModel            Get an R reference to an H2O model
h2o.getModelTree        Fetchces a single tree of a H2O model. This
                        function is intended to be used on Gradient
                        Boosting Machine models or Distributed Random
                        Forest models.
h2o.getTimezone         Get the Time Zone on the H2O cluster Returns a
                        string
h2o.getTypes            Get the types-per-column
h2o.getVersion          Get h2o version
h2o.get_automl          Get an R object that is a subclass of H2OAutoML
h2o.get_best_model      Get best model of a given family/algorithm for
                        a given criterion from an AutoML object.
h2o.get_best_model_predictors
                        Extracts the subset of predictor names that
                        yield the best R2 value for each predictor
                        subset size.
h2o.get_best_r2_values
                        Extracts the best R2 values for all predictor
                        subset size.
h2o.get_gam_knot_column_names
                        Extracts the gam column names corresponding to
                        the knot locations from model output if it is
                        enabled.
h2o.get_knot_locations
                        Extracts the knot locations from model output
                        if it is enabled.
h2o.get_leaderboard     Retrieve the leaderboard from the AutoML
                        instance.
h2o.get_ntrees_actual   Retrieve actual number of trees for tree
                        algorithms
h2o.get_predictors_added_per_step
                        Extracts the predictor added to model at each
                        step.
h2o.get_predictors_removed_per_step
                        Extracts the predictor removed to model at each
                        step.
h2o.get_regression_influence_diagnostics
                        Extracts a list of H2OFrames containing
                        regression influence diagnostics for predictor
                        subsets of various sizes or just one H2OFrame
                        containing regression influence diagnostics for
                        predictor subsets of one fixed size
h2o.get_segment_models
                        Retrieves an instance of H2OSegmentModels for a
                        given id.
h2o.get_variable_inflation_factors
                        Return the variable inflation factors
                        associated with numerical predictors for GLM
                        models.
h2o.giniCoef            Retrieve the GINI Coefficcient
h2o.glm                 Fit a generalized linear model
h2o.glrm                Generalized low rank decomposition of an H2O
                        data frame
h2o.grep                Search for matches to an argument pattern
h2o.grid                H2O Grid Support
h2o.group_by            Group and Apply by Column
h2o.gsub                String Global Substitute
h2o.h                   Calculates Friedman and Popescu's H statistics,
                        in order to test for the presence of an
                        interaction between specified variables in h2o
                        gbm and xgb models. H varies from 0 to 1. It
                        will have a value of 0 if the model exhibits no
                        interaction between specified variables and a
                        correspondingly larger value for a stronger
                        interaction effect between them. NaN is
                        returned if a computation is spoiled by weak
                        main effects and rounding errors.
h2o.head                Return the Head or Tail of an H2O Dataset.
h2o.hist                Compute A Histogram
h2o.hit_ratio_table     Retrieve the Hit Ratios
h2o.hour                Convert Milliseconds to Hour of Day in H2O
                        Datasets
h2o.ice_plot            Plot Individual Conditional Expectation (ICE)
                        for each decile
h2o.ifelse              H2O Apply Conditional Statement
h2o.importFile          Import Files into H2O
h2o.import_hive_table   Import Hive Table into H2O
h2o.import_mojo         Imports a MOJO under given path, creating a
                        Generic model with it.
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.infogram            H2O Infogram
h2o.infogram_train_subset_models
                        Train models over subsets selected using
                        infogram
h2o.init                Initialize and Connect to H2O
h2o.insertMissingValues
                        Insert Missing Values into an H2OFrame
h2o.inspect_model_fairness
                        Produce plots and dataframes related to a
                        single model fairness.
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.isolationForest     Trains an Isolation Forest model
h2o.isotonicregression
                        Build an Isotonic Regression model
h2o.keyof               Method on 'Keyed' objects allowing to obtain
                        their key.
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.kolmogorov_smirnov
                        Kolmogorov-Smirnov metric for binomial models
h2o.kurtosis            Kurtosis of a column
h2o.learning_curve_plot
                        Learning Curve Plot
h2o.levels              Return the levels from the column requested
                        column.
h2o.listTimezones       List all of the Time Zones Acceptable by the
                        H2O cluster.
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.list_jobs           Return list of jobs performed by the H2O
                        cluster
h2o.list_models         Get an list of all model ids present in the
                        cluster
h2o.loadGrid            Loads previously saved grid with all it's
                        models from the same folder
h2o.loadModel           Load H2O Model from HDFS or Local Disk
h2o.load_frame          Load frame previously stored in H2O's native
                        format.
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.loglikelihood       Retrieve the log likelihood value
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_leaderboard    Create a leaderboard from a list of models,
                        grids and/or automls.
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.melt                Converts a frame to key-value representation
                        while optionally skipping NA values. Inverse
                        operation to h2o.pivot.
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.modelSelection      H2O ModelSelection is used to build the best
                        model with one predictor, two predictors, ...
                        up to max_predictor_number specified in the
                        algorithm parameters when mode=allsubsets.  The
                        best model is the one with the highest R2
                        value.  When mode=maxr, the model returned is
                        no longer guaranteed to have the best R2 value.
h2o.model_correlation   Model Prediction Correlation
h2o.model_correlation_heatmap
                        Model Prediction Correlation Heatmap
h2o.mojo_predict_csv    H2O Prediction from R without having H2O
                        running
h2o.mojo_predict_df     H2O Prediction from R without having H2O
                        running
h2o.month               Convert Milliseconds to Months in H2O Datasets
h2o.mse                 Retrieves Mean Squared Error Value
h2o.multinomial_auc_table
                        Retrieve the all AUC values in a table (One to
                        Rest, One to One, macro and weighted average)
                        for mutlinomial classification.
h2o.multinomial_aucpr_table
                        Retrieve the all PR AUC values in a table (One
                        to Rest, One to One, macro and weighted
                        average) for mutlinomial classification.
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.negative_log_likelihood
                        Extracts the final training negative log
                        likelihood of a GLM model.
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
h2o.null_dof            Retrieve the null degrees of freedom
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.pareto_front        Plot Pareto front
h2o.parseRaw            H2O Data Parsing
h2o.parseSetup          Get a parse setup back for the staged data.
h2o.partialPlot         Partial Dependence Plots
h2o.pd_multi_plot       Plot partial dependencies for a variable across
                        multiple models
h2o.pd_plot             Plot partial dependence for a variable
h2o.performance         Model Performance Metrics in H2O
h2o.permutation_importance
                        Calculate Permutation Feature Importance.
h2o.permutation_importance_plot
                        Plot Permutation Variable Importances.
h2o.pivot               Pivot a frame
h2o.prcomp              Principal component analysis of an H2O data
                        frame
h2o.predict             Predict on an H2O Model
h2o.predict_json        H2O Prediction from R without having H2O
                        running
h2o.predict_rules       Evaluates validity of the given rules on the
                        given data. Returns a frame with a column per
                        each input rule id, representing a flag whether
                        given rule is applied to the observation or
                        not.
h2o.predicted_vs_actual_by_variable
                        Calculates per-level mean of predicted value vs
                        actual value for a given variable.
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.psvm                Trains a Support Vector Machine model on an H2O
                        dataset
h2o.qini                Retrieve the default Qini value
h2o.quantile            Quantiles of H2O Frames.
h2o.r2                  Retrieve the R2 value
h2o.randomForest        Build a Random Forest model
h2o.range               Returns a vector containing the minimum and
                        maximum of all the given arguments.
h2o.rank_within_group_by
                        This function will add a new column rank where
                        the ranking is produced as follows: 1. sorts
                        the H2OFrame by columns sorted in by columns
                        specified in group_by_cols and sort_cols in the
                        directions specified by the ascending for the
                        sort_cols.  The sort directions for the
                        group_by_cols are ascending only. 2. A new rank
                        column is added to the frame which will contain
                        a rank assignment performed next.  The user can
                        choose to assign a name to this new column.
                        The default name is New_Rank_column. 3. For
                        each groupby groups, a rank is assigned to the
                        row starting from 1, 2, ... to the end of that
                        group. 4. If sort_cols_sorted is TRUE, a final
                        sort on the frame will be performed frame
                        according to the sort_cols and the sort
                        directions in ascending. If sort_cols_sorted is
                        FALSE (by default), the frame from step 3 will
                        be returned as is with no extra sort.  This may
                        provide a small speedup if desired.
h2o.rapids              Execute a Rapids expression.
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.relevel_by_frequency
                        Reorders levels of factor columns by the
                        frequencies for the individual levels.
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.reset_threshold     Reset model threshold and return old threshold
                        value.
h2o.residual_analysis_plot
                        Residual Analysis
h2o.residual_deviance   Retrieve the residual deviance
h2o.residual_dof        Retrieve the residual degrees of freedom
h2o.resume              Triggers auto-recovery resume - this will look
                        into configured recovery dir and resume and
                        tasks that were interrupted by unexpected
                        cluster stopping.
h2o.resumeGrid          Resume previously stopped grid training.
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.rule_importance     This function returns the table with estimated
                        coefficients and language representations (in
                        case it is a rule) for each of the significant
                        baselearners.
h2o.rulefit             Build a RuleFit Model
h2o.runif               Produce a Vector of Random Uniform Numbers
h2o.saveGrid            Saves an existing Grid of models into a given
                        folder.
h2o.saveModel           Save an H2O Model Object to Disk
h2o.saveModelDetails    Save an H2O Model Details
h2o.saveMojo            Deprecated - use h2o.save_mojo instead. Save an
                        H2O Model Object as Mojo to Disk
h2o.save_frame          Store frame data in H2O's native format.
h2o.save_mojo           Save an H2O Model Object as Mojo to Disk
h2o.save_to_hive        Save contents of this data frame into a Hive
                        table
h2o.scale               Scaling and Centering of an H2OFrame
h2o.scoreHistory        Retrieve Model Score History
h2o.scoreHistoryGAM     Retrieve GLM Model Score History buried in GAM
                        model
h2o.screeplot           Scree Plot
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 cluster
h2o.set_s3_credentials
                        Creates a new Amazon S3 client internally with
                        specified credentials.
h2o.shap_explain_row_plot
                        SHAP Local Explanation
h2o.shap_summary_plot   SHAP Summary Plot
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     Builds a Stacked Ensemble
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
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.target_encode_apply
                        Apply Target Encoding Map to Frame
h2o.target_encode_create
                        Create Target Encoding Map
h2o.targetencoder       Transformation of a categorical variable with a
                        mean value of the target variable
h2o.tf_idf              Computes TF-IDF values for each word in given
                        documents.
h2o.thresholds_and_metric_scores
                        Retrieve the thresholds and metric scores table
h2o.toFrame             Convert a word2vec model into an H2OFrame
h2o.tokenize            Tokenize String
h2o.tolower             Convert strings to lowercase
h2o.topBottomN          H2O topBottomN
h2o.topN                H2O topN
h2o.tot_withinss        Get the total within cluster sum of squares.
h2o.totss               Get the total sum of squares.
h2o.toupper             Convert strings to uppercase
h2o.train_segments      H2O Segmented-Data Bulk Model Training
h2o.transform           Use H2O Transformation model and apply the
                        underlying transformation
h2o.transform,H2OTargetEncoderModel-method
                        Applies target encoding to a given dataset
h2o.transform,H2OWordEmbeddingModel-method
                        Transform words (or sequences of words) to
                        vectors using a word2vec model.
h2o.transform_word2vec
                        Transform words (or sequences of words) to
                        vectors using a word2vec model.
h2o.trim                Trim Space
h2o.trunc               Truncate values in x toward 0
h2o.unique              H2O Unique
h2o.upliftRandomForest
                        Build a Uplift Random Forest model
h2o.upload_model        Upload a binary model from the provided local
                        path to the H2O cluster. (H2O model can be
                        saved in a binary form either by saveModel() or
                        by download_model() function.)
h2o.upload_mojo         Imports a MOJO from a local filesystem,
                        creating a Generic model with it.
h2o.var                 Variance of a column or covariance of columns.
h2o.varimp              Retrieve the variable importance.
h2o.varimp,H2OAutoML-method
                        Retrieve the variable importance.
h2o.varimp,H2OFrame-method
                        Retrieve the variable importance.
h2o.varimp,H2OModel-method
                        Retrieve the variable importance.
h2o.varimp_heatmap      Variable Importance Heatmap across multiple
                        models
h2o.varimp_plot         Plot Variable Importances
h2o.varsplits           Retrieve per-variable split information for a
                        given Isolation Forest model. Output will
                        include: - count - The number of times a
                        variable was used to make a split. -
                        aggregated_split_ratios - The split ratio is
                        defined as "abs(#left_observations -
                        #right_observations) / #before_split".  Even
                        splits (#left_observations approx the same as
                        #right_observations) contribute less to the
                        total aggregated split ratio value for the
                        given feature; highly imbalanced splits (eg.
                        #left_observations >> #right_observations)
                        contribute more. - aggregated_split_depths -
                        The sum of all depths of a variable used to
                        make a split. (If a variable is used on level N
                        of a tree, then it contributes with N to the
                        total aggregate.)
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             Build an eXtreme Gradient Boosting model
h2o.xgboost.available   Determines whether an XGBoost model can be
                        built
h2o.year                Convert Milliseconds to Years in H2O Datasets
housevotes              United States Congressional Voting Records 1984
initialize,H2OInfogram-method
                        Method on 'H2OInfogram' object which in this
                        case is to instantiate and initialize it
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
length,H2OTree-method   Overrides the behavior of length() function on
                        H2OTree class. Returns number of nodes in an
                        'H2OTree'
model_cache-class       Needed to be able to memoise the models
names.H2OFrame          Column names of an H2OFrame
plot,H2OParetoFront-method
                        Plot Pareto front
plot.H2OInfogram        Plot an H2O Infogram
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_contributions.H2OModel
                        Predict feature contributions - SHAP values on
                        an H2O Model (only DRF, GBM, XGBoost models and
                        equivalent imported MOJOs).
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
row_to_tree_assignment.H2OModel
                        Output row to tree assignment for the model and
                        provided training data.
scale                   Scaling and Centering of an H2OFrame
show,H2OAutoML-method   Format AutoML object in user-friendly way
show,H2OParetoFront-method
                        Show H2OParetoFront
staged_predict_proba.H2OModel
                        Predict class probabilities at each stage of an
                        H2O Model
str.H2OFrame            Display the structure of an H2OFrame object
summary,H2OAutoML-method
                        Format AutoML object in user-friendly way
summary,H2OCoxPHModel-method
                        Summary method for H2OCoxPHModel objects
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 cluster after examples run
