h2o v3.30.1.2

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R Interface for the 'H2O' Scalable Machine Learning Platform

R interface for 'H2O', the scalable open source machine learning platform that offers parallelized implementations of many supervised and unsupervised machine learning algorithms such as Generalized Linear Models (GLM), Gradient Boosting Machines (including XGBoost), Random Forests, Deep Neural Networks (Deep Learning), Stacked Ensembles, Naive Bayes, Generalized Additive Models (GAM), Cox Proportional Hazards, K-Means, PCA, Word2Vec, as well as a fully automatic machine learning algorithm (H2O AutoML).

Functions in h2o

Name Description
H2OAutoML-class The H2OAutoML class
H2OConnection-class The H2OConnection class.
H2OCoxPHModel-class The H2OCoxPHModel object.
H2OClusteringModel-class The H2OClusteringModel object.
H2OFrame-class The H2OFrame class
H2OFrame-Extract Extract or Replace Parts of an H2OFrame Object
H2OConnectionMutableState The H2OConnectionMutableState class
Ops.H2OFrame S3 Group Generic Functions for H2O
H2OGrid-class H2O Grid
H2OCoxPHModelSummary-class The H2OCoxPHModelSummary object.
apply Apply on H2O Datasets
as.vector.H2OFrame Convert an H2OFrame to a vector
H2OSplitNode-class The H2OSplitNode class.
H2OSegmentModelsFuture-class H2O Future Segment Models
H2OLeafNode-class The H2OLeafNode class.
.h2o.__DKV Removal Endpoints
H2OSegmentModels-class H2O Segment Models
H2ONode-class The H2ONode class.
australia Australia Coastal Data
H2OModel-class The H2OModel object.
H2OTree-class The H2OTree class.
.h2o.doPOST Just like doRawPOST but fills in the default h2oRestApiVersion if none is provided
.h2o.__EXPORT_FILES Export Files Endpoint Generator
.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.
H2OModelFuture-class H2O Future Model
as.data.frame.H2OFrame Converts parsed H2O data into an R data frame
Keyed-class Virtual Keyed class
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.
ModelAccessors Accessor Methods for H2OModel Object
.addParm TODO: No objects in this file are being used. Either remove file or use objects.
as.character.H2OFrame Convert an H2OFrame to a String
Logical-or Logical or for H2OFrames
dimnames.H2OFrame Column names of an H2OFrame
h2o-package H2O R Interface
as.matrix.H2OFrame Convert an H2OFrame to a matrix
h2o.centroid_stats Retrieve centroid statistics
h2o.clearLog Delete All H2O R Logs
.h2o.__CREATE_FRAME H2OFrame Manipulation
as.numeric Convert H2O Data to Numeric
.h2o.__MODEL_METRICS Model Metrics Endpoint
.h2o.perfect_auc Internal function that calculates a precise AUC from given probabilities and actual responses.
.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.aggregator Build an Aggregated Frame
as.data.frame.H2OSegmentModels Converts a collection of Segment Models to a data.frame
.h2o.__DECRYPTION_SETUP Decryption Endpoints
.h2o.__PARSE_SETUP Parse Endpoints
colnames Returns the column names of an H2OFrame
h2o.aic Retrieve the Akaike information criterion (AIC) value
h2o.assign Rename an H2O object.
h2o.asnumeric Convert H2O Data to Numerics
h2o.clusterIsUp Determine if an H2O cluster is up or not
h2o.betweenss Get the between cluster sum of squares
h2o.clusterInfo Print H2O cluster info
h2o.automl Automatic Machine Learning
H2OModelMetrics-class The H2OModelMetrics Object.
&& Logical and for H2OFrames
aaa Starting H2O For examples
.h2o.__MODELS Model Endpoint
dim.H2OFrame Returns the Dimensions of an H2OFrame
.h2o.__RAPIDS Rapids Endpoint
h2o.cross_validation_models Retrieve the cross-validation models
h2o.cross_validation_predictions Retrieve the cross-validation predictions
h2o.dim Returns the number of rows and columns for an H2OFrame object.
h2o.confusionMatrix Access H2O Confusion Matrices
h2o.downloadAllLogs Download H2O Log Files to Disk
h2o.computeGram Compute weighted gram matrix.
h2o.distance Compute a pairwise distance measure between all rows of two numeric H2OFrames.
h2o.exportHDFS Export a Model to HDFS
h2o.fillna fillNA
.h2o.__REST_API_VERSION H2O Package Constants
h2o.HGLMMetrics Retrieve HGLM ModelMetrics
.h2o.__checkConnectionHealth Check H2O Server Health
.h2o.__MODEL_BUILDERS Model Builder Endpoint Generator
as.factor Convert H2O Data to Factors
h2o.ascharacter Convert H2O Data to Characters
h2o.centers Retrieve the Model Centers
h2o.asfactor Convert H2O Data to Factors
h2o.abs Compute the absolute value of x
h2o.centersSTD Retrieve the Model Centers STD
.h2o.doGET Just like doRawGET but fills in the default h2oRestApiVersion if none is provided
.collapse Helper Collapse Function
.h2o.__JOBS Administrative Endpoints
as.h2o Create H2OFrame
.h2o.primitives Map of operations known to H2O
h2o.filterNACols Filter NA Columns
h2o.findSynonyms Find synonyms using a word2vec model.
h2o.getConnection Retrieve an H2O Connection
h2o.genericModel Imports a model under given path, creating a Generic model with it.
h2o.entropy Shannon entropy
h2o.drop_duplicates Drops duplicated rows.
h2o.dimnames Column names of an H2OFrame
.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.__LOGANDECHO Log and Echo Endpoint
h2o.gbm Build gradient boosted classification or regression trees
.h2o.__ALL_CAPABILITIES Capabilities endpoints
feature_frequencies.H2OModel Retrieve the number of occurrences of each feature for given observations Available for GBM, Random Forest and Isolation Forest models.
h2o.is_client Check Client Mode Connection
generate_col_ind CHeck to see if the column names/indices entered is valid for the dataframe given. This is an internal function
.h2o.__W2V_SYNONYMS Word2Vec Endpoints
.h2o.__SEGMENT_MODELS_BUILDERS Segment Models Builder Endpoint Generator
.skip_if_not_developer H2O <-> R Communication and Utility Methods
h2o.isax iSAX
.h2o.__IMPORT Import/Export Endpoints
.h2o.__FRAMES Inspect/Summary Endpoints
.pkg.env The H2O Package Environment
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 Return the coefficients that can be applied to the non-standardized data.
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.createFrame Data H2OFrame Creation in H2O
h2o.coxph Trains a Cox Proportional Hazards Model (CoxPH) on an H2O dataset
h2o.all Given a set of logical vectors, are all of the values true?
h2o.keyof Method on Keyed objects allowing to obtain their key.
h2o.kfold_column Produce a k-fold column vector.
h2o.acos Compute the arc cosine of x
h2o.aggregated_frame Retrieve an aggregated frame from an Aggregator model
.verify_dataxy Used to verify data, x, y and turn into the appropriate things
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.getTimezone Get the Time Zone on the H2O cluster Returns a string
h2o.biases Return the respective bias vector
h2o.bottomN H2O bottomN
h2o.anyFactor Check H2OFrame columns for factors
h2o.loadGrid Loads previously saved grid with all it's models from the same folder
h2o.day Convert Milliseconds to Day of Month in H2O Datasets
h2o.decryptionSetup Setup a Decryption Tool
h2o.ddply Split H2O Dataset, Apply Function, and Return Results
h2o.cut Cut H2O Numeric Data to Factor
h2o.floor Take a single numeric argument and return a numeric vector with the largest integers
h2o.loadModel Load H2O Model from HDFS or Local Disk
h2o.connect Connect to a running H2O instance.
h2o.cummax Return the cumulative max over a column or across a row
h2o.cor Correlation of columns.
h2o.cummin Return the cumulative min over a column or across a row
h2o.max Returns the maxima of the input values.
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.arrange Sorts an H2O frame by columns
h2o.import_hive_table Import Hive Table into H2O
h2o.auc Retrieve the AUC
h2o.aucpr Retrieve the AUCPR (Area Under Precision Recall Curve)
h2o.as_date Convert between character representations and objects of Date class
h2o.deepfeatures Feature Generation via H2O Deep Learning
h2o.cbind Combine H2O Datasets by Columns
h2o.import_mojo Imports a MOJO under given path, creating a Generic model with it.
h2o.exportFile Export an H2O Data Frame (H2OFrame) to a File or to a collection of Files.
h2o.deeplearning Build a Deep Neural Network model using CPUs
h2o.exp Compute the exponential function of x
h2o.find_threshold_by_max_metric Find the threshold, give the max metric
h2o.find_row_by_threshold Find the threshold, give the max metric. No duplicate thresholds allowed
h2o.ceiling Take a single numeric argument and return a numeric vector with the smallest integers
h2o.flow Open H2O Flow
h2o.ischaracter Check if character
h2o.mean Compute the frame's mean by-column (or by-row).
h2o.getGrid Get a grid object from H2O distributed K/V store.
h2o.clusterStatus Return the status of the cluster
h2o.get_segment_models Retrieves an instance of H2OSegmentModels for a given id.
h2o.ifelse H2O Apply Conditional Statement
h2o.giniCoef Retrieve the GINI Coefficcient
h2o.getId Get back-end distributed key/value store id from an H2OFrame.
h2o.importFile Import Files into H2O
h2o.mean_per_class_error Retrieve the mean per class error
h2o.cluster_sizes Retrieve the cluster sizes
h2o.cross_validation_fold_assignment Retrieve the cross-validation fold assignment
h2o.colnames Return column names of an H2OFrame
h2o.log10 Compute the log10 of x
h2o.isfactor Check if factor
h2o.logAndEcho Log a message on the server-side logs
h2o.min Returns the minima of the input values.
h2o.logloss Retrieve the Log Loss Value
h2o.log Compute the logarithm of x
h2o.mktime Compute msec since the Unix Epoch
h2o.null_deviance Retrieve the null deviance
h2o.get_leaderboard Retrieve the leaderboard from the AutoML instance.
h2o.cross_validation_holdout_predictions Retrieve the cross-validation holdout predictions
h2o.null_dof Retrieve the null degrees of freedom
h2o.get_ntrees_actual Retrieve actual number of trees for tree algorithms
h2o.mean_residual_deviance Retrieve the Mean Residual Deviance value
h2o.names Column names of an H2OFrame
h2o.prcomp Principal component analysis of an H2O data frame
h2o.parseSetup Get a parse setup back for the staged data.
h2o.naiveBayes Compute naive Bayes probabilities on an H2O dataset.
h2o.partialPlot Partial Dependence Plots
h2o.removeAll Remove All Objects on the H2O Cluster
h2o.predict Predict on an H2O Model
h2o.removeVecs Delete Columns from an H2OFrame
h2o.columns_by_type Obtain a list of columns that are specified by `coltype`
h2o.group_by Group and Apply by Column
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.varimp Retrieve the variable importance.
h2o.strsplit String Split
h2o.tanh Compute the hyperbolic tangent of x
h2o.stringdist Compute element-wise string distances between two H2OFrames
h2o.var Variance of a column or covariance of columns.
h2o.upload_mojo Imports a MOJO from a local filesystem, creating a Generic model with it.
is.character Check if character
h2o.target_encode_apply Apply Target Encoding Map to Frame
h2o.cumprod Return the cumulative product over a column or across a row
h2o.predict_json H2O Prediction from R without having H2O running
h2o.gsub String Global Substitute
predict_contributions.H2OModel Predict feature contributions - SHAP values on an H2O Model (only DRF, GBM and XGBoost models).
predict_leaf_node_assignment.H2OModel Predict the Leaf Node Assignment on an H2O Model
is.factor Check if factor
show,H2OAutoML-method Format AutoML object in user-friendly way
scale Scaling and Centering of an H2OFrame
h2o.reset_threshold Reset model threshold and return old threshold value.
h2o.print Print An H2OFrame
h2o.rep_len Replicate Elements of Vectors or Lists into H2O
h2o.saveGrid Saves an existing Grid of models into a given folder.
h2o.cos Compute the cosine of x
h2o.saveModel Save an H2O Model Object to Disk
h2o.describe H2O Description of A Dataset
h2o.difflag1 Conduct a lag 1 transform on a numeric H2OFrame column
h2o.cumsum Return the cumulative sum over a column or across a row
h2o.insertMissingValues Insert Missing Values into an H2OFrame
h2o.download_mojo Download the model in MOJO format.
h2o.grep Search for matches to an argument pattern
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.download_pojo Download the Scoring POJO (Plain Old Java Object) of an H2O Model
h2o.grid H2O Grid Support
h2o.cosh Compute the hyperbolic cosine of x
h2o.dayOfWeek Convert Milliseconds to Day of Week in H2O Datasets
h2o.skewness Skewness of a column
h2o.impute Basic Imputation of H2O Vectors
h2o.init Initialize and Connect to H2O
h2o.hour Convert Milliseconds to Hour of Day in H2O Datasets
h2o.import_sql_table Import SQL Table into H2O
h2o.listTimezones List all of the Time Zones Acceptable by the H2O cluster.
h2o.list_api_extensions List registered API extensions
h2o.import_sql_select Import SQL table that is result of SELECT SQL query into H2O
h2o.list_all_extensions List all H2O registered extensions
h2o.levels Return the levels from the column requested column.
h2o.hit_ratio_table Retrieve the Hit Ratios
h2o.mae Retrieve the Mean Absolute Error Value
h2o.interaction Categorical Interaction Feature Creation in H2O
h2o.makeGLMModel Set betas of an existing H2O GLM Model
h2o.dct Compute DCT of an H2OFrame
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.gainsLift Access H2O Gains/Lift Tables
h2o.glm Fit a generalized linear 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.getModel Get an R reference to an H2O model
h2o.gam Fit a General Additive Model
h2o.isnumeric Check if numeric
h2o.merge Merge Two H2O Data Frames
h2o.splitFrame Split an H2O Data Set
h2o.kurtosis Kurtosis of a column
h2o.kolmogorov_smirnov Kolmogorov-Smirnov metric for binomial models
h2o.glrm Generalized low rank decomposition of an H2O data frame
h2o.mojo_predict_csv H2O Prediction from R without having H2O running
h2o.metric H2O Model Metric Accessor Functions
h2o.head Return the Head or Tail of an H2O Dataset.
h2o.month Convert Milliseconds to Months in H2O Datasets
h2o.mojo_predict_df H2O Prediction from R without having H2O running
h2o.isolationForest Trains an Isolation Forest model
h2o.nacnt Count of NAs per column
h2o.na_omit Remove Rows With NAs
h2o.hist Compute A Histogram
h2o.stopLogging Stop Writing H2O R Logs
h2o.svd Singular value decomposition of an H2O data frame using the power method
h2o.str Display the structure of an H2OFrame object
h2o.killMinus3 Dump the stack into the JVM's stdout.
h2o.list_core_extensions List registered core extensions
h2o.mse Retrieves Mean Squared Error Value
h2o.list_jobs Return list of jobs performed by the H2O cluster
h2o.targetencoder Transformation of a categorical variable with a mean value of the target variable
h2o.target_encode_transform Deprecated API. Please use h2o.targetencoder model instead. Transform Frame by Target Encoding Map
h2o.table Cross Tabulation and Table Creation in H2O
h2o.openLog View H2O R Logs
h2o.quantile Quantiles of H2O Frames.
h2o.parseRaw H2O Data Parsing
h2o.psvm Trains a Support Vector Machine model on an H2O dataset
h2o.which Which indices are TRUE?
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.range Returns a vector containing the minimum and maximum of all the given arguments.
h2o.which_max Which indice contains the max value?
h2o.num_iterations Retrieve the number of iterations.
h2o.kmeans Performs k-means clustering on an H2O dataset
h2o.rm Delete Objects In H2O
h2o.melt Converts a frame to key-value representation while optionally skipping NA values. Inverse operation to h2o.pivot.
h2o.lstrip Strip set from left
h2o.log1p Compute the log1p of x
h2o.log2 Compute the log2 of x
h2o.ls List Keys on an H2O Cluster
h2o.median H2O Median
plot.H2OModel Plot an H2O Model
plot.H2OTabulate Plot an H2O Tabulate Heatmap
h2o.networkTest View Network Traffic Speed
h2o.nlevels Get the number of factor levels for this frame.
h2o.make_metrics Create Model Metrics from predicted and actual values in H2O
h2o.saveModelDetails Save an H2O Model Details
h2o.rmse Retrieves Root Mean Squared Error Value
h2o.rapids Execute a Rapids expression.
h2o.residual_deviance Retrieve the residual deviance
h2o.residual_dof Retrieve the residual degrees of freedom
h2o.rbind Combine H2O Datasets by Rows
h2o.num_valid_substrings Count of substrings >= 2 chars that are contained in file
h2o.save_mojo Save an H2O Model Object as Mojo to Disk
h2o.match Value Matching in H2O
h2o.nchar String length
h2o.ncol Return the number of columns present in x.
h2o.prod Return the product of all the values present in its arguments.
h2o.show_progress Enable Progress Bar
h2o.startLogging Start Writing H2O R Logs
h2o.shutdown Shut Down H2O Instance
h2o.saveMojo Deprecated - use h2o.save_mojo instead. Save an H2O Model Object as Mojo to Disk
h2o.no_progress Disable Progress Bar
h2o.nrow Return the number of rows present in x.
h2o.proj_archetypes Convert Archetypes to Features from H2O GLRM Model
h2o.topN H2O topN
h2o.signif Round doubles/floats to the given number of significant digits.
h2o.save_to_hive Save contents of this data frame into a Hive table
h2o.sin Compute the sine of x
h2o.summary Summarizes the columns of an H2OFrame.
h2o.transform,H2OWordEmbeddingModel-method Transform words (or sequences of words) to vectors using a word2vec model.
h2o.sum Compute the frame's sum by-column (or by-row).
h2o.tot_withinss Get the total within cluster sum of squares.
h2o.reconstruct Reconstruct Training Data via H2O GLRM Model
h2o.std_coef_plot Plot Standardized Coefficient Magnitudes
h2o.tabulate Tabulation between Two Columns of an H2OFrame
h2o.relevel Reorders levels of an H2O factor, similarly to standard R's relevel.
h2o.rmsle Retrieve the Root Mean Squared Log Error
h2o.totss Get the total sum of squares.
h2o.transform_word2vec Transform words (or sequences of words) to vectors using a word2vec model.
h2o.tan Compute the tangent of x
h2o.toupper Convert strings to uppercase
h2o.trim Trim Space
h2o.which_min Which index contains the min value?
h2o.transform Use H2O Transformation model and apply the underlying transformation
h2o.withinss Get the Within SS
h2o.word2vec Trains a word2vec model on a String column of an H2O data frame
h2o.varimp_plot Plot Variable Importances
h2o.xgboost Build an eXtreme Gradient Boosting model
h2o.randomForest Build a Random Forest model
h2o.pivot Pivot a frame
h2o.runif Produce a Vector of Random Uniform Numbers
h2o.r2 Retrieve the R2 value
h2o.performance Model Performance Metrics in H2O
h2o.rstrip Strip set from right
h2o.scale Scaling and Centering of an H2OFrame
h2o.setTimezone Set the Time Zone on the H2O cluster
h2o.scoreHistory Retrieve Model Score History
h2o.set_s3_credentials Creates a new Amazon S3 client internally with specified credentials.
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.)
is.numeric Check if numeric
use.package Use optional package
is.h2o Is H2O Frame object
staged_predict_proba.H2OModel Predict class probabilities at each stage of an H2O Model
str.H2OFrame Display the structure of an H2OFrame object
walking Muscular Actuations for Walking Subject
length,H2OTree-method Overrides the behavior of length() function on H2OTree class. Returns number of nodes in an H2OTree
names.H2OFrame Column names of an H2OFrame
h2o.round Round doubles/floats to the given number of decimal places.
h2o.sub String Substitute
prostate Prostate Cancer Study
zzz Shutdown H2O cluster after examples run
range.H2OFrame Range of an H2O Column
h2o.target_encode_create Create Target Encoding Map
h2o.substring Substring
h2o.scoreHistoryGAM Retrieve GLM Model Score History buried in GAM model
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.sqrt Compute the square root of x
h2o.target_encode_fit Deprecated API. Please use h2o.targetencoder model instead.
h2o.stackedEnsemble Builds a Stacked Ensemble
h2o.transform,H2OTargetEncoderModel-method Applies target encoding to a given dataset
h2o.tolower Convert strings to lowercase
h2o.tokenize Tokenize String
h2o.train_segments H2O Segmented-Data Bulk Model Training
h2o.tf_idf Computes TF-IDF values for each word in given documents.
h2o.trunc Truncate values in x toward 0
h2o.toFrame Convert a word2vec model into an H2OFrame
h2o.week Convert Milliseconds to Week of Week Year in H2O Datasets
h2o.weights Retrieve the respective weight matrix
housevotes United States Congressional Voting Records 1984
iris Edgar Anderson's Iris Data
predict.H2OModel Predict on an H2O Model
predict.H2OAutoML Predict on an AutoML object
h2o.unique H2O Unique
print.H2OTable Print method for H2OTable objects
summary,H2OCoxPHModel-method Summary method for H2OCoxPHModel objects
h2o.year Convert Milliseconds to Years in H2O Datasets
print.H2OFrame Print An H2OFrame
summary,H2OAutoML-method Format AutoML object in user-friendly way
h2o.xgboost.available Determines whether an XGBoost model can be built
summary,H2OGrid-method Format grid object in user-friendly way
summary,H2OModel-method Print the Model Summary
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Type Package
Date 2020-09-03
License Apache License (== 2.0)
URL https://github.com/h2oai/h2o-3
BugReports https://0xdata.atlassian.net/projects/PUBDEV
NeedsCompilation no
SystemRequirements Java (>= 8)
Collate 'aggregator.R' 'astfun.R' 'automl.R' 'classes.R' 'config.R' 'connection.R' 'constants.R' 'datasets.R' 'logging.R' 'communication.R' 'kvstore.R' 'frame.R' 'targetencoder_deprecated.R' 'targetencoder.R' 'import.R' 'isolationforest.R' 'parse.R' 'export.R' 'edicts.R' 'models.R' 'coxph.R' 'coxphutils.R' 'kmeans.R' 'gam.R' 'gbm.R' 'generic.R' 'glm.R' 'glrm.R' 'pca.R' 'svd.R' 'psvm.R' 'deeplearning.R' 'stackedensemble.R' 'xgboost.R' 'randomforest.R' 'naivebayes.R' 'word2vec.R' 'w2vutils.R' 'locate.R' 'grid.R' 'segment.R' 'predict.R' 'zzz.R' 'tf-idf.R'
RoxygenNote 7.1.1
Packaged 2020-09-03 18:54:33 UTC; jenkins
Repository CRAN
Date/Publication 2020-09-12 06:10:04 UTC

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