h2o v3.32.0.1


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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
H2OConnectionMutableState The H2OConnectionMutableState class
H2OCoxPHModel-class The H2OCoxPHModel object.
H2OFrame-Extract Extract or Replace Parts of an H2OFrame Object
H2OClusteringModel-class The H2OClusteringModel object.
Ops.H2OFrame S3 Group Generic Functions for H2O
H2OAutoML-class The H2OAutoML class
H2OCoxPHModelSummary-class The H2OCoxPHModelSummary object.
H2OConnection-class The H2OConnection class.
H2OFrame-class The H2OFrame class
H2OGrid-class H2O Grid
H2OTree-class The H2OTree class.
H2OSegmentModels-class H2O Segment Models
H2ONode-class The H2ONode class.
H2OSplitNode-class The H2OSplitNode class.
H2OSegmentModelsFuture-class H2O Future Segment Models
&& Logical and for H2OFrames
H2OModelMetrics-class The H2OModelMetrics Object.
H2OModelFuture-class H2O Future Model
aaa Starting H2O For examples
.h2o.__DECRYPTION_SETUP Decryption Endpoints
Logical-or Logical or for H2OFrames
apply Apply on H2O Datasets
H2OLeafNode-class The H2OLeafNode class.
.h2o.__PARSE_SETUP Parse Endpoints
.h2o.__DKV Removal Endpoints
ModelAccessors Accessor Methods for H2OModel Object
australia Australia Coastal Data
.get_algorithm Get the algoritm used by the model_or_model_id
.find_appropriate_column_name Tries to match a fuzzy_col_name with a column name that exists in cols.
.h2o.doGET Just like doRawGET but fills in the default h2oRestApiVersion if none is provided
as.vector.H2OFrame Convert an H2OFrame to a vector
.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.
.h2o.perfect_auc Internal function that calculates a precise AUC from given probabilities and actual responses.
.h2o.primitives Map of operations known to H2O
.h2o.doPOST Just like doRawPOST but fills in the default h2oRestApiVersion if none is provided
.h2o.__RAPIDS Rapids Endpoint
as.character.H2OFrame Convert an H2OFrame to a String
.h2o.__REST_API_VERSION H2O Package Constants
.consolidate_varimps Consolidate variable importances
.customized_call A helper function that makes it easier to override/add params in a function call.
.create_leaderboard Create a leaderboard like data frame for models
.collapse Helper Collapse Function
.h2o.__MODEL_BUILDERS Model Builder Endpoint Generator
Keyed-class Virtual Keyed class
colnames Returns the column names of an H2OFrame
as.h2o Create H2OFrame
as.factor Convert H2O Data to Factors
H2OModel-class The H2OModel object.
.h2o.__SEGMENT_MODELS_BUILDERS Segment Models Builder Endpoint Generator
as.data.frame.H2OFrame Converts parsed H2O data into an R data frame
h2o.asnumeric Convert H2O Data to Numerics
.get_feature_count Get feature count sorted by the count descending.
.get_first_of_family Get first of family models
dim.H2OFrame Returns the Dimensions of an H2OFrame
.h2o.doRawPOST Perform a low-level HTTP POST operation on an H2O instance
.h2o.__FRAMES Inspect/Summary Endpoints
.h2o.__EXPORT_FILES Export Files Endpoint Generator
.h2o.doRawGET Perform a low-level HTTP GET operation on an H2O instance
as.matrix.H2OFrame Convert an H2OFrame to a matrix
as.data.frame.H2OSegmentModels Converts a collection of Segment Models to a data.frame
as.numeric Convert H2O Data to Numeric
dimnames.H2OFrame Column names of an H2OFrame
h2o.assign Rename an H2O object.
.addParm TODO: No objects in this file are being used. Either remove file or use objects.
.interpretable Is the model considered to be interpretable, i.e., simple enough.
.has_varimp Has the model variable importance?
.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.
.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.
.varimp Get variable importance in a standardized way.
.h2o.__MODEL_METRICS Model Metrics Endpoint
h2o.aucpr Retrieve the AUCPR (Area Under Precision Recall Curve)
h2o.auc Retrieve the AUC
.h2o.__LOGANDECHO Log and Echo Endpoint
.is_plotting_to_rnotebook Check if we are plotting in to r notebook.
.leaderboard_for_row Enhance leaderboard with per-model predictions.
.h2o.__MODELS Model Endpoint
.is_h2o_model Is the model an H2O model?
.plot_varimp Plot variable importances with ggplot2
h2o.abs Compute the absolute value of x
h2o.HGLMMetrics Retrieve HGLM ModelMetrics
h2o.arrange Sorts an H2O frame by columns
h2o.as_date Convert between character representations and objects of Date class
.pkg.env The H2O Package Environment
.is_h2o_tree_model Is the model a Tree-based H2O Model?
.h2o.__ALL_CAPABILITIES Capabilities endpoints
.h2o.__IMPORT Import/Export Endpoints
.h2o.__CREATE_FRAME H2OFrame Manipulation
.h2o.__JOBS Administrative Endpoints
h2o.ceiling Take a single numeric argument and return a numeric vector with the smallest integers
h2o.cross_validation_holdout_predictions Retrieve the cross-validation holdout predictions
h2o.cumsum Return the cumulative sum over a column or across a row
h2o.cbind Combine H2O Datasets by Columns
h2o.cross_validation_fold_assignment Retrieve the cross-validation fold assignment
h2o.cumprod Return the cumulative product over a column or across a row
.shorten_model_ids Shortens model ids if possible (iff there will be same amount of unique model_ids as before)
.h2o.__W2V_SYNONYMS Word2Vec Endpoints
generate_col_ind CHeck to see if the column names/indices entered is valid for the dataframe given. This is an internal function
feature_frequencies.H2OModel Retrieve the number of occurrences of each feature for given observations Available for GBM, Random Forest and Isolation Forest models.
h2o.clusterInfo Print H2O cluster info
h2o.anomaly Anomaly Detection via H2O Deep Learning Model
h2o.createFrame Data H2OFrame Creation in H2O
h2o.clearLog Delete All H2O R Logs
h2o.centroid_stats Retrieve centroid statistics
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.dayOfWeek Convert Milliseconds to Day of Week in H2O Datasets
h2o.dct Compute DCT of an H2OFrame
h2o.clusterIsUp Determine if an H2O cluster is up or not
h2o.cross_validation_models Retrieve the cross-validation models
h2o.acos Compute the arc cosine of x
.h2o.is_progress Check if Progress Bar is Enabled
.min_max Min-max normalization.
.h2o.__checkConnectionHealth Check H2O Server Health
.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
.verify_dataxy Used to verify data, x, y and turn into the appropriate things
h2o.centersSTD Retrieve the Model Centers STD
h2o-package H2O R Interface
h2o.centers Retrieve the Model Centers
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.describe H2O Description of A Dataset
h2o.aggregated_frame Retrieve an aggregated frame from an Aggregator model
h2o.downloadAllLogs Download H2O Log Files to Disk
h2o.distance Compute a pairwise distance measure between all rows of two numeric H2OFrames.
h2o.cross_validation_predictions Retrieve the cross-validation predictions
h2o.find_row_by_threshold Find the threshold, give the max metric. No duplicate thresholds allowed
h2o.gbm Build gradient boosted classification or regression trees
h2o.drop_duplicates Drops duplicated rows.
h2o.difflag1 Conduct a lag 1 transform on a numeric H2OFrame column
h2o.entropy Shannon entropy
h2o.find_threshold_by_max_metric Find the threshold, give the max metric
.model_ids Get Model Ids
h2o.asfactor Convert H2O Data to Factors
h2o.biases Return the respective bias vector
h2o.ascharacter Convert H2O Data to Characters
h2o.downloadCSV Download H2O Data to Disk
h2o.get_segment_models Retrieves an instance of H2OSegmentModels for a given id.
h2o.giniCoef Retrieve the GINI Coefficcient
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.getGrid Get a grid object from H2O distributed K/V store.
h2o.floor Take a single numeric argument and return a numeric vector with the largest integers
h2o.flow Open H2O Flow
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.aic Retrieve the Akaike information criterion (AIC) value
h2o.aggregator Build an Aggregated Frame
h2o.bottomN H2O bottomN
h2o.columns_by_type Obtain a list of columns that are specified by `coltype`
h2o.colnames Return column names of an H2OFrame
h2o.grep Search for matches to an argument pattern
h2o.anyFactor Check H2OFrame columns for factors
h2o.any Given a set of logical vectors, is at least one of the values true?
h2o.automl Automatic Machine Learning
h2o.betweenss Get the between cluster sum of squares
h2o.getTimezone Get the Time Zone on the H2O cluster Returns a string
h2o.getId Get back-end distributed key/value store id from an H2OFrame.
h2o.decryptionSetup Setup a Decryption Tool
h2o.ddply Split H2O Dataset, Apply Function, and Return Results
h2o.dim Returns the number of rows and columns for an H2OFrame object.
h2o.cos Compute the cosine of x
h2o.cosh Compute the hyperbolic cosine of x
h2o.exportHDFS Export a Model to HDFS
h2o.isfactor Check if factor
h2o.hit_ratio_table Retrieve the Hit Ratios
h2o.hour Convert Milliseconds to Hour of Day in H2O Datasets
h2o.getTypes Get the types-per-column
h2o.clusterStatus Return the status of the cluster
h2o.download_mojo Download the model in MOJO format.
h2o.dimnames Column names of an H2OFrame
h2o.download_pojo Download the Scoring POJO (Plain Old Java Object) of an H2O Model
h2o.cor Correlation of columns.
h2o.cummin Return the cumulative min over a column or across a row
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.connect Connect to a running H2O instance.
h2o.cummax Return the cumulative max over a column or across a row
h2o.coef Return the coefficients that can be applied to the non-standardized data.
h2o.deepfeatures Feature Generation via H2O Deep Learning
h2o.cluster_sizes Retrieve the cluster sizes
h2o.filterNACols Filter NA Columns
h2o.isnumeric Check if numeric
h2o.grid H2O Grid Support
h2o.list_core_extensions List registered core extensions
h2o.max Returns the maxima of the input values.
h2o.list_api_extensions List registered API extensions
h2o.match Value Matching in H2O
h2o.openLog View H2O R Logs
h2o.parseRaw H2O Data Parsing
h2o.range Returns a vector containing the minimum and maximum of all the given arguments.
h2o.residual_analysis_plot Residual Analysis
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.importFile Import Files into H2O
h2o.computeGram Compute weighted gram matrix.
h2o.findSynonyms Find synonyms using a word2vec model.
h2o.glrm Generalized low rank decomposition of an H2O data frame
h2o.import_sql_table Import SQL Table into H2O
h2o.glm Fit a generalized linear model
h2o.genericModel Imports a model under given path, creating a Generic model with it.
h2o.exp Compute the exponential function of x
h2o.explain Generate Model Explanations
h2o.getVersion Get h2o version
h2o.deeplearning Build a Deep Neural Network model using CPUs
h2o.getConnection Retrieve an H2O Connection
h2o.get_automl Get an R object that is a subclass of H2OAutoML
h2o.ice_plot Plot Individual Conditional Expectation (ICE) for each decile
h2o.residual_deviance Retrieve the residual deviance
h2o.import_hive_table Import Hive Table into H2O
h2o.confusionMatrix Access H2O Confusion Matrices
h2o.logloss Retrieve the Log Loss Value
h2o.list_jobs Return list of jobs performed by the H2O cluster
h2o.kfold_column Produce a k-fold column vector.
h2o.ls List Keys on an H2O Cluster
h2o.loadGrid Loads previously saved grid with all it's models from the same folder
h2o.impute Basic Imputation of H2O Vectors
h2o.killMinus3 Dump the stack into the JVM's stdout.
h2o.month Convert Milliseconds to Months in H2O Datasets
h2o.residual_dof Retrieve the residual degrees of freedom
h2o.kolmogorov_smirnov Kolmogorov-Smirnov metric for binomial models
h2o.ifelse H2O Apply Conditional Statement
h2o.rm Delete Objects In H2O
h2o.kmeans Performs k-means clustering on an H2O dataset
h2o.loadModel Load H2O Model from HDFS or Local Disk
h2o.mse Retrieves Mean Squared Error Value
h2o.day Convert Milliseconds to Day of Month in H2O Datasets
h2o.cut Cut H2O Numeric Data to Factor
h2o.explain_row Generate Model Explanations for a single row
h2o.scale Scaling and Centering of an H2OFrame
h2o.log2 Compute the log2 of x
h2o.metric H2O Model Metric Accessor Functions
h2o.logAndEcho Log a message on the server-side logs
h2o.log Compute the logarithm of x
h2o.min Returns the minima of the input values.
h2o.gainsLift Access H2O Gains/Lift Tables
h2o.exportFile Export an H2O Data Frame (H2OFrame) to a File or to a collection of Files.
h2o.init Initialize and Connect to H2O
h2o.insertMissingValues Insert Missing Values into an H2OFrame
h2o.networkTest View Network Traffic Speed
h2o.mktime Compute msec since the Unix Epoch
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.gam Fit a General Additive Model
h2o.get_leaderboard Retrieve the leaderboard from the AutoML instance.
h2o.getFrame Get an R Reference to an H2O Dataset, that will NOT be GC'd by default
h2o.fillna fillNA
h2o.getGLMFullRegularizationPath Extract full regularization path from a GLM model
h2o.nchar String length
h2o.ncol Return the number of columns present in x.
h2o.model_correlation_heatmap Model Prediction Correlation Heatmap
h2o.psvm Trains a Support Vector Machine model on an H2O dataset
h2o.performance Model Performance Metrics in H2O
h2o.nlevels Get the number of factor levels for this frame.
h2o.isolationForest Trains an Isolation Forest model
h2o.gsub String Global Substitute
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.listTimezones List all of the Time Zones Acceptable by the H2O cluster.
h2o.group_by Group and Apply by Column
h2o.import_mojo Imports a MOJO under given path, creating a Generic model with it.
h2o.lstrip Strip set from left
h2o.rep_len Replicate Elements of Vectors or Lists into H2O
h2o.quantile Quantiles of H2O Frames.
h2o.mae Retrieve the Mean Absolute Error Value
h2o.pivot Pivot a frame
h2o.saveModelDetails Save an H2O Model Details
h2o.round Round doubles/floats to the given number of decimal places.
h2o.skewness Skewness of a column
h2o.rstrip Strip set from right
h2o.reset_threshold Reset model threshold and return old threshold value.
h2o.saveMojo Deprecated - use h2o.save_mojo instead. Save an H2O Model Object as Mojo to Disk
h2o.get_ntrees_actual Retrieve actual number of trees for tree algorithms
h2o.hist Compute A Histogram
h2o.head Return the Head or Tail of an H2O Dataset.
h2o.scoreHistory Retrieve Model Score History
h2o.interaction Categorical Interaction Feature Creation in H2O
h2o.print Print An H2OFrame
h2o.predict_json H2O Prediction from R without having H2O running
h2o.is_client Check Client Mode Connection
h2o.ischaracter Check if character
h2o.isax iSAX
h2o.sdev Retrieve the standard deviations of principal components
h2o.rulefit Build a RuleFit Model
h2o.runif Produce a Vector of Random Uniform Numbers
h2o.setLevels Set Levels of H2O Factor Column
h2o.shutdown Shut Down H2O Instance
h2o.show_progress Enable Progress Bar
h2o.log10 Compute the log10 of x
h2o.stringdist Compute element-wise string distances between two H2OFrames
h2o.keyof Method on Keyed objects allowing to obtain their key.
h2o.totss Get the total sum of squares.
h2o.splitFrame Split an H2O Data Set
h2o.toupper Convert strings to uppercase
h2o.upload_mojo Imports a MOJO from a local filesystem, creating a Generic model with it.
h2o.xgboost Build an eXtreme Gradient Boosting 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.)
model_cache-class Needed to be able to memoise the models
summary,H2OAutoML-method Format AutoML object in user-friendly way
names.H2OFrame Column names of an H2OFrame
h2o.xgboost.available Determines whether an XGBoost model can be built
h2o.kurtosis Kurtosis of a column
h2o.mean_residual_deviance Retrieve the Mean Residual Deviance value
h2o.strsplit String Split
h2o.levels Return the levels from the column requested column.
h2o.mojo_predict_csv H2O Prediction from R without having H2O running
h2o.median H2O Median
h2o.mojo_predict_df H2O Prediction from R without having H2O running
h2o.na_omit Remove Rows With NAs
h2o.mean Compute the frame's mean by-column (or by-row).
h2o.log1p Compute the log1p of x
h2o.mean_per_class_error Retrieve the mean per class error
summary,H2OCoxPHModel-method Summary method for H2OCoxPHModel objects
h2o.sin Compute the sine of x
h2o.str Display the structure of an H2OFrame object
h2o.signif Round doubles/floats to the given number of significant digits.
h2o.stopLogging Stop Writing H2O R Logs
h2o.svd Singular value decomposition of an H2O data frame using the power method
h2o.num_iterations Retrieve the number of iterations.
h2o.num_valid_substrings Count of substrings >= 2 chars that are contained in file
h2o.pd_multi_plot Plot partial dependencies for a variable across multiple models
h2o.r2 Retrieve the R2 value
h2o.pd_plot Plot partial dependence for a variable
h2o.nacnt Count of NAs per column
h2o.null_dof Retrieve the null degrees of freedom
h2o.partialPlot Partial Dependence Plots
h2o.parseSetup Get a parse setup back for the staged data.
h2o.prod Return the product of all the values present in its arguments.
h2o.null_deviance Retrieve the null deviance
h2o.makeGLMModel Set betas of an existing H2O GLM Model
h2o.make_metrics Create Model Metrics from predicted and actual values in H2O
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.proj_archetypes Convert Archetypes to Features from H2O GLRM Model
h2o.rapids Execute a Rapids expression.
h2o.table Cross Tabulation and Table Creation in H2O
h2o.reconstruct Reconstruct Training Data via H2O GLRM Model
h2o.relevel Reorders levels of an H2O factor, similarly to standard R's relevel.
h2o.randomForest Build a Random Forest model
h2o.transform,H2OTargetEncoderModel-method Applies target encoding to a given dataset
h2o.unique H2O Unique
h2o.train_segments H2O Segmented-Data Bulk Model Training
h2o.trunc Truncate values in x toward 0
h2o.varimp_heatmap Variable Importance Heatmap across multiple models
h2o.rbind Combine H2O Datasets by Rows
h2o.rmse Retrieves Root Mean Squared Error Value
h2o.varimp_plot Plot Variable Importances
h2o.tabulate Tabulation between Two Columns of an H2OFrame
h2o.tan Compute the tangent of x
h2o.topN H2O topN
h2o.saveModel Save an H2O Model Object to Disk
h2o.save_to_hive Save contents of this data frame into a Hive table
h2o.saveGrid Saves an existing Grid of models into a given folder.
h2o.save_mojo Save an H2O Model Object as Mojo to Disk
is.factor Check if factor
is.h2o Is H2O Frame object
h2o.names Column names of an H2OFrame
h2o.nrow Return the number of rows present in x.
h2o.naiveBayes Compute naive Bayes probabilities on an H2O dataset.
h2o.no_progress Disable Progress Bar
h2o.tot_withinss Get the total within cluster sum of squares.
h2o.rmsle Retrieve the Root Mean Squared Log Error
h2o.predict Predict on an H2O Model
h2o.prcomp Principal component analysis of an H2O data frame
h2o.removeAll Remove All Objects on the H2O Cluster
h2o.removeVecs Delete Columns from an H2OFrame
h2o.set_s3_credentials Creates a new Amazon S3 client internally with specified credentials.
h2o.setTimezone Set the Time Zone on the H2O cluster
h2o.startLogging Start Writing H2O R Logs
h2o.sum Compute the frame's sum by-column (or by-row).
h2o.std_coef_plot Plot Standardized Coefficient Magnitudes
h2o.summary Summarizes the columns of an H2OFrame.
h2o.sqrt Compute the square root of x
predict_leaf_node_assignment.H2OModel Predict the Leaf Node Assignment on an H2O Model
predict_contributions.H2OModel Predict feature contributions - SHAP values on an H2O Model (only DRF, GBM and XGBoost models).
summary,H2OGrid-method Format grid object in user-friendly way
h2o.sd Standard Deviation of a column of data.
h2o.scoreHistoryGAM Retrieve GLM Model Score History buried in GAM model
h2o.tokenize Tokenize String
h2o.var Variance of a column or covariance of columns.
h2o.tolower Convert strings to lowercase
h2o.varimp Retrieve the variable importance.
summary,H2OModel-method Print the Model Summary
h2o.shap_summary_plot SHAP Summary Plot
h2o.shap_explain_row_plot SHAP Local Explanation
h2o.sub String Substitute
h2o.transform,H2OWordEmbeddingModel-method Transform words (or sequences of words) to vectors using a word2vec model.
prostate Prostate Cancer Study
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
length,H2OTree-method Overrides the behavior of length() function on H2OTree class. Returns number of nodes in an H2OTree
h2o.week Convert Milliseconds to Week of Week Year in H2O Datasets
range.H2OFrame Range of an H2O Column
h2o.transform Use H2O Transformation model and apply the underlying transformation
h2o.target_encode_create Create Target Encoding Map
h2o.stackedEnsemble Builds a Stacked Ensemble
h2o.targetencoder Transformation of a categorical variable with a mean value of the target variable
h2o.withinss Get the Within SS
h2o.which Which indices are TRUE?
scale Scaling and Centering of an H2OFrame
predict.H2OAutoML Predict on an AutoML object
h2o.weights Retrieve the respective weight matrix
iris Edgar Anderson's Iris Data
predict.H2OModel Predict on an H2O Model
is.character Check if character
with_no_h2o_progress Suppresses h2o progress output from expr
plot.H2OModel Plot an H2O Model
h2o.word2vec Trains a word2vec model on a String column of an H2O data frame
zzz Shutdown H2O cluster after examples run
plot.H2OTabulate Plot an H2O Tabulate Heatmap
show,H2OAutoML-method Format AutoML object in user-friendly way
h2o.tanh Compute the hyperbolic tangent of x
h2o.target_encode_apply Apply Target Encoding Map to Frame
h2o.substring Substring
h2o.tf_idf Computes TF-IDF values for each word in given documents.
h2o.transform_word2vec Transform words (or sequences of words) to vectors using a word2vec model.
h2o.toFrame Convert a word2vec model into an H2OFrame
h2o.trim Trim Space
h2o.which_max Which indice contains the max value?
h2o.which_min Which index contains the min value?
h2o.year Convert Milliseconds to Years in H2O Datasets
print.H2OFrame Print An H2OFrame
staged_predict_proba.H2OModel Predict class probabilities at each stage of an H2O Model
housevotes United States Congressional Voting Records 1984
print.H2OTable Print method for H2OTable objects
use.package Use optional package
str.H2OFrame Display the structure of an H2OFrame object
walking Muscular Actuations for Walking Subject
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Type Package
Date 2020-10-08
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.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' 'tf-idf.R' 'rulefit.R' 'explain.R' 'zzz.R'
RoxygenNote 7.1.1
Packaged 2020-10-08 18:20:22 UTC; jenkins
Repository CRAN
Date/Publication 2020-10-17 07:00:02 UTC

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