# R Interface for the 'H2O' Scalable Machine Learning Platform

## Documentation for package ‘h2o’ version 3.30.0.1

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

## Help Pages

A C D E F 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.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.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 --

coef.H2OCoxPHModel | The H2OCoxPHModel object.
coef.H2OCoxPHModelSummary | The H2OCoxPHModelSummary object.
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

## -- E --

extractAIC.H2OCoxPHModel | The H2OCoxPHModel object.

## -- F --

feature_frequencies.H2OModel | Retrieve the number of occurrences of each feature for given observations Available for GBM, Random Forest and Isolation Forest models.

## -- G --

generate_col_ind | CHeck to see if the column names/indices entered is valid for the dataframe given. This is an internal function
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
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.

## -- 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 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.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 an H2O frame by columns
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 | Convert between character representations and objects of Date class
h2o.auc | Retrieve the AUC
h2o.aucpr | Retrieve the AUCPR (Area Under Precision Recall Curve)
h2o.automl | Automatic Machine Learning
h2o.betweenss | Get the between cluster sum of squares
h2o.biases | Return the respective bias vector
h2o.bottomN | H2O bottomN
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.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.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.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.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.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.feature_frequencies | Retrieve the number of occurrences of each feature for given observations Available for GBM, Random Forest and Isolation Forest models.
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.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.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.getAutoML | Get an R object that is a subclass of H2OAutoML
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.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_leaderboard | Retrieve the leaderboard from the AutoML instance.
h2o.get_ntrees_actual | Retrieve actual number of trees for tree algorithms
h2o.get_seed | 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.get_segment_models | Retrieves an instance of H2OSegmentModels for a given id.
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.head | Return the Head or Tail of an H2O Dataset.
h2o.HGLMMetrics | Retrieve HGLM ModelMetrics
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.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_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.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.isolationForest | Trains an Isolation Forest model
h2o.is_client | Check Client Mode Connection
h2o.keyof | Method on 'Keyed' objects allowing to obtain their key.
h2o.keyof-method | 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.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 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.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.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.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.missrate | H2O Model Metric Accessor Functions
h2o.mktime | Compute msec since the Unix Epoch
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.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
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.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 a frame
h2o.prcomp | Principal component analysis of an H2O data frame
h2o.precision | H2O Model Metric Accessor Functions
h2o.predict | Predict on an H2O Model
h2o.predict.H2OAutoML | Predict on an AutoML object
h2o.predict.H2OModel | Predict on an H2O Model
h2o.predict_contributions | Predict feature contributions - SHAP values on an H2O Model (only GBM and XGBoost models).
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.pr_auc | Retrieve the AUCPR (Area Under Precision Recall Curve)
h2o.psvm | Trains a Support Vector Machine model on an H2O dataset
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.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
h2o.residual_dof | Retrieve the residual degrees of freedom
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.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 | 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 cluster
h2o.set_s3_credentials | Creates a new Amazon S3 client internally with specified credentials.
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 | Builds a Stacked Ensemble
h2o.staged_predict_proba | Predict class probabilities at each stage of an H2O Model
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.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.targetencoder | Transformation of a categorical variable with a mean value of the target variable
h2o.target_encode_apply | Apply Target Encoding Map to Frame
h2o.target_encode_create | Create Target Encoding Map
h2o.target_encode_fit | Deprecated API. Please use h2o.targetencoder model instead.
h2o.target_encode_transform | Deprecated API. Please use h2o.targetencoder model instead. Transform Frame by Target Encoding Map
h2o.tnr | H2O Model Metric Accessor Functions
h2o.toFrame | Convert a word2vec model into an H2OFrame
h2o.tokenize | Tokenize String
h2o.tolower | Convert strings to lowercase
h2o.topN | H2O topN
h2o.totss | Get the total sum of squares.
h2o.tot_withinss | Get the total within cluster sum of squares.
h2o.toupper | Convert strings to uppercase
h2o.tpr | H2O Model Metric Accessor Functions
h2o.train_segments | H2O Segmented-Data Bulk Model Training
h2o.transform | Use H2O Transformation model and apply the underlying transformation
h2o.transform-method | Applies target encoding to a given dataset
h2o.transform-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.uploadFile | Import Files into H2O
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_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
H2OAnomalyDetectionMetrics-class | The H2OModelMetrics Object.
H2OAnomalyDetectionModel-class | The H2OModel object.
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.
H2OConnectionMutableState | The H2OConnectionMutableState class
H2OCoxPHMetrics-class | The H2OModelMetrics Object.
H2OCoxPHModel | The H2OCoxPHModel object.
H2OCoxPHModel-class | The H2OCoxPHModel object.
H2OCoxPHModelSummary | The H2OCoxPHModelSummary object.
H2OCoxPHModelSummary-class | The H2OCoxPHModelSummary object.
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
H2OLeafNode-class | The H2OLeafNode class.
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.
H2ONode-class | The H2ONode class.
H2OOrdinalMetrics-class | The H2OModelMetrics Object.
H2OOrdinalModel-class | The H2OModel object.
H2ORegressionMetrics-class | The H2OModelMetrics Object.
H2ORegressionModel-class | The H2OModel object.
H2OSegmentModels-class | H2O Segment Models
H2OSegmentModelsFuture-class | H2O Future Segment Models
H2OSplitNode | The H2OSplitNode class.
H2OSplitNode-class | The H2OSplitNode class.
H2OTargetEncoderMetrics-class | The H2OModelMetrics Object.
H2OTargetEncoderModel-class | The H2OModel object.
H2OTree | The H2OTree class.
H2OTree-class | The H2OTree class.
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 --

Keyed-class | Virtual Keyed class
kurtosis.H2OFrame | Kurtosis of a column

## -- L --

length-method | Overrides the behavior of length() function on H2OTree class. Returns number of nodes in an 'H2OTree'
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
logLik.H2OCoxPHModel | The H2OCoxPHModel object.

## -- 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_contributions.H2OModel | Predict feature contributions - SHAP values on an H2O Model (only GBM and XGBoost models).
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 | Scaling and Centering of an H2OFrame
scale.H2OFrame | Scaling and Centering of an H2OFrame
sd | Standard Deviation of a column of data.
show-method | The H2OConnection class.
show-method | The H2OCoxPHModel object.
show-method | The H2OCoxPHModelSummary object.
show-method | H2O Grid
show-method | The H2OModel object.
show-method | The H2OModelMetrics Object.
show-method | The H2ONode class.
show-method | H2O Segment Models
show-method | The H2OTree class.
signif | Round doubles/floats to the given number of significant digits.
skewness.H2OFrame | Skewness of a column
staged_predict_proba.H2OModel | Predict class probabilities at each stage of an H2O Model
str.H2OFrame | Display the structure of an H2OFrame object
summary-method | Summary method for H2OCoxPHModel objects
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.
survfit.H2OCoxPHModel | The H2OCoxPHModel object.

## -- 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.
vcov.H2OCoxPHModel | The H2OCoxPHModel object.

## -- 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 cluster 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
.addParm | TODO: No objects in this file are being used. Either remove file or use objects.
.collapse | Helper Collapse Function
.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.primitives | Map of operations known to H2O
.h2o.__ALL_CAPABILITIES | Capabilities endpoints
.h2o.__checkConnectionHealth | Check H2O Server Health
.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
.pkg.env | The H2O Package Environment
.skip_if_not_developer | H2O <-> R Communication and Utility Methods
.verify_dataxy | Used to verify data, x, y and turn into the appropriate things
[-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