h2o v3.20.0.8


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R Interface for 'H2O'

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, Gradient Boosting Machines (including XGBoost), Random Forests, Deep Neural Networks (Deep Learning), Stacked Ensembles, Naive Bayes, Cox Proportional Hazards, K-Means, PCA, Word2Vec, as well as a fully automatic machine learning algorithm (AutoML).

Functions in h2o

Name Description
H2OFrame-class The H2OFrame class
Ops.H2OFrame S3 Group Generic Functions for H2O
H2OModelMetrics-class The H2OModelMetrics Object.
H2ONode-class The H2ONode class.
as.data.frame.H2OFrame Converts parsed H2O data into an R data frame
as.factor Convert H2O Data to Factors
H2OConnection-class The H2OConnection class.
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.centers Retrieve the Model Centers
h2o.centersSTD Retrieve the Model Centers STD
Logical-or Logical or for H2OFrames
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.coxph Trains a Cox Proportional Hazards Model (CoxPH) on an H2O dataset
h2o.createFrame Data H2OFrame Creation in H2O
h2o.cummax Return the cumulative max over a column or across a row
ModelAccessors Accessor Methods for H2OModel Object
as.numeric Convert H2O Data to Numeric
as.vector.H2OFrame Convert an H2OFrame to a vector
generate_col_ind CHeck to see if the column names/indices entered is valid for the dataframe given. This is an internal function
h2o-package H2O R Interface
h2o.asnumeric Convert H2O Data to Numerics
h2o.asfactor Convert H2O Data to Factors
h2o.clusterStatus Return the status of the cluster
H2OCoxPHModel-class The H2OCoxPHModel object.
H2OAutoML-class The H2OAutoML class
H2OSplitNode-class The H2OSplitNode class.
H2OTree-class The H2OTree class.
australia Australia Coastal Data
colnames Returns the column names of an H2OFrame
h2o.cluster_sizes Retrieve the cluster sizes
h2o.connect Connect to a running H2O instance.
dim.H2OFrame Returns the Dimensions of an H2OFrame
dimnames.H2OFrame Column names of an H2OFrame
H2OClusteringModel-class The H2OClusteringModel object.
aaa Starting H2O For examples
h2o.cummin Return the cumulative min over a column or across a row
h2o.dim Returns the number of rows and columns for an H2OFrame object.
H2OGrid-class H2O Grid
h2o.dimnames Column names of an H2OFrame
h2o.filterNACols Filter NA Columns
H2OLeafNode-class The H2OLeafNode class.
h2o.anyFactor Check H2OFrame columns for factors
apply Apply on H2O Datasets
h2o.findSynonyms Find synonyms using a word2vec model.
h2o.getAutoML Get an R object that is a subclass of H2OAutoML
as.character.H2OFrame Convert an H2OFrame to a String
h2o.cor Correlation of columns.
h2o.getConnection Retrieve an H2O Connection
as.h2o Create H2OFrame
&& Logical and for H2OFrames
h2o.ddply Split H2O Dataset, Apply Function, and Return Results
h2o.decryptionSetup Setup a Decryption Tool
h2o.getTypes Get the types-per-column
as.matrix.H2OFrame Convert an H2OFrame to a matrix
h2o.getVersion Get h2o version
h2o.aic Retrieve the Akaike information criterion (AIC) value
h2o.all Given a set of logical vectors, are all of the values true?
h2o.arrange Sorts an H2O frame by columns
h2o.automl Automatic Machine Learning
h2o.aggregated_frame Retrieve an aggregated frame from an Aggregator model
h2o.assign Rename an H2O object.
h2o.auc Retrieve the AUC
h2o.aggregator Build an Aggregated Frame
h2o.centroid_stats Retrieve centroid statistics
h2o.biases Return the respective bias vector
h2o.clearLog Delete All H2O R Logs
h2o.deepwater Build a Deep Learning model using multiple native GPU backends
H2OCoxPHModelSummary-class The H2OCoxPHModelSummary object.
h2o.betweenss Get the between cluster sum of squares
h2o.computeGram Compute weighted gram matrix.
h2o.confusionMatrix Access H2O Confusion Matrices
h2o.cross_validation_models Retrieve the cross-validation models
h2o.colnames Return column names of an H2OFrame
h2o.columns_by_type Obtain a list of columns that are specified by `coltype`
h2o.cross_validation_predictions Retrieve the cross-validation predictions
H2OFrame-Extract Extract or Replace Parts of an H2OFrame Object
h2o.bottomN H2O bottomN
h2o.clusterInfo Print H2O cluster info
h2o.hist Compute A Histogram
h2o.deepwater.available Determines whether Deep Water is available
h2o.cumprod Return the cumulative product over a column or across a row
h2o.cross_validation_holdout_predictions Retrieve the cross-validation holdout predictions
h2o.cross_validation_fold_assignment Retrieve the cross-validation fold assignment
h2o.cut Cut H2O Numeric Data to Factor
h2o.hit_ratio_table Retrieve the Hit Ratios
h2o.day Convert Milliseconds to Day of Month in H2O Datasets
h2o.download_pojo Download the Scoring POJO (Plain Old Java Object) of an H2O Model
h2o.isax iSAX
h2o.entropy Shannon entropy
h2o.cumsum Return the cumulative sum over a column or across a row
h2o.find_row_by_threshold Find the threshold, give the max metric. No duplicate thresholds allowed
h2o.ischaracter Check if character
h2o.find_threshold_by_max_metric Find the threshold, give the max metric
h2o.deepfeatures Feature Generation via H2O Deep Learning or DeepWater Model
h2o.distance Compute a pairwise distance measure between all rows of two numeric H2OFrames.
h2o.floor Take a single numeric argument and return a numeric vector with the largest integers
h2o.deeplearning Build a Deep Neural Network model using CPUs
h2o.kmeans Performs k-means clustering on an H2O dataset
h2o.clusterIsUp Determine if an H2O cluster is up or not
h2o.flow Open H2O Flow
H2OModel-class The H2OModel object.
h2o.giniCoef Retrieve the GINI Coefficcient
h2o.glrm Generalized low rank decomposition of an H2O data frame
h2o.grep Search for matches to an argument pattern
h2o.glm Fit a generalized linear model
h2o.kurtosis Kurtosis of a column
H2OModelFuture-class H2O Future Model
h2o.log1p Compute the log1p of x
h2o.cos Compute the cosine of x
h2o.abs Compute the absolute value of x
h2o.log2 Compute the log2 of x
h2o.downloadAllLogs Download H2O Log Files to Disk
h2o.mktime Compute msec since the Unix Epoch
h2o.cosh Compute the hyperbolic cosine of x
h2o.mojo_predict_csv H2O Prediction from R without having H2O running
h2o.describe H2O Description of A Dataset
h2o.acos Compute the arc cosine of x
h2o.exp Compute the exponential function of x
h2o.mean_per_class_error Retrieve the mean per class error
h2o.difflag1 Conduct a lag 1 transform on a numeric H2OFrame column
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.mean_residual_deviance Retrieve the Mean Residual Deviance value
h2o.mse Retrieves Mean Squared Error Value
h2o.randomForest Build a Random Forest model
h2o.na_omit Remove Rows With NAs
h2o.as_date Convert between character representations and objects of Date class
h2o.downloadCSV Download H2O Data to Disk
h2o.download_mojo Download the model in MOJO format.
h2o.exportFile Export an H2O Data Frame (H2OFrame) to a File or to a collection of Files.
h2o.getTimezone Get the Time Zone on the H2O Cloud Returns a string
h2o.nrow Return the number of rows present in x.
h2o.range Returns a vector containing the minimum and maximum of all the given arguments.
h2o.ascharacter Convert H2O Data to Characters
h2o.gsub String Global Substitute
h2o.cbind Combine H2O Datasets by Columns
h2o.init Initialize and Connect to H2O
h2o.sd Standard Deviation of a column of data.
h2o.insertMissingValues Insert Missing Values into an H2OFrame
h2o.ceiling Take a single numeric argument and return a numeric vector with the smallest integers
h2o.list_all_extensions List all H2O registered extensions
h2o.list_api_extensions List registered API extensions
h2o.head Return the Head or Tail of an H2O Dataset.
h2o.dayOfWeek Convert Milliseconds to Day of Week in H2O Datasets
h2o.null_deviance Retrieve the null deviance
h2o.sdev Retrieve the standard deviations of principal components
h2o.getFrame Get an R Reference to an H2O Dataset, that will NOT be GC'd by default
h2o.dct Compute DCT of an H2OFrame
h2o.getFutureModel Get future model
h2o.pivot Pivot a frame
h2o.prcomp Principal component analysis of an H2O data frame
h2o.getGLMFullRegularizationPath Extract full regularization path from a GLM model
h2o.log Compute the logarithm of x
h2o.log10 Compute the log10 of x
h2o.removeAll Remove All Objects on the H2O Cluster
h2o.exportHDFS Export a Model to HDFS
h2o.removeVecs Delete Columns from an H2OFrame
h2o.show_progress Enable Progress Bar
h2o.fillna fillNA
h2o.getGrid Get a grid object from H2O distributed K/V store.
h2o.interaction Categorical Interaction Feature Creation in H2O
h2o.grid H2O Grid Support
h2o.scale Scaling and Centering of an H2OFrame
h2o.group_by Group and Apply by Column
h2o.make_metrics Create Model Metrics from predicted and actual values in H2O
h2o.shutdown Shut Down H2O Instance
h2o.is_client Check Client Mode Connection
h2o.kfold_column Produce a k-fold column vector.
h2o.gainsLift Access H2O Gains/Lift Tables
h2o.match Value Matching in H2O
h2o.mojo_predict_df H2O Prediction from R without having H2O running
h2o.gbm Build gradient boosted classification or regression trees
h2o.month Convert Milliseconds to Months in H2O Datasets
h2o.scoreHistory Retrieve Model Score History
h2o.signif Round doubles/floats to the given number of significant digits.
h2o.sum Compute the frame's sum by-column (or by-row).
h2o.summary Summarizes the columns of an H2OFrame.
h2o.names Column names of an H2OFrame
h2o.sin Compute the sine of x
h2o.killMinus3 Dump the stack into the JVM's stdout.
h2o.nchar String length
h2o.getModel Get an R reference to an H2O model
h2o.getId Get back-end distributed key/value store id from an H2OFrame.
h2o.hour Convert Milliseconds to Hour of Day in H2O Datasets
h2o.totss Get the total sum of squares.
h2o.ifelse H2O Apply Conditional Statement
h2o.list_core_extensions List registered core extensions
h2o.import_sql_table Import SQL Table into H2O
h2o.loadModel Load H2O Model from HDFS or Local Disk
h2o.impute Basic Imputation of H2O Vectors
h2o.max Returns the maxima of the input values.
h2o.levels Return the levels from the column requested column.
h2o.ls List Keys on an H2O Cluster
h2o.num_valid_substrings Count of substrings >= 2 chars that are contained in file
h2o.listTimezones List all of the Time Zones Acceptable by the H2O Cloud.
h2o.svd Singular value decomposition of an H2O data frame using the power method
h2o.table Cross Tabulation and Table Creation in H2O
h2o.mean Compute the frame's mean by-column (or by-row).
h2o.import_sql_select Import SQL table that is result of SELECT SQL query into H2O
h2o.importFile Import Files into H2O
h2o.openLog View H2O R Logs
h2o.metric H2O Model Metric Accessor Functions
h2o.min Returns the minima of the input values.
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.ncol Return the number of columns present in x.
h2o.rbind Combine H2O Datasets by Rows
h2o.topN H2O topN
h2o.isfactor Check if factor
h2o.toupper Convert strings to uppercase
h2o.networkTest View Network Traffic Speed
h2o.lstrip Strip set from left
h2o.tot_withinss Get the total within cluster sum of squares.
h2o.parseRaw H2O Data Parsing
h2o.mae Retrieve the Mean Absolute Error Value
h2o.isnumeric Check if numeric
h2o.residual_dof Retrieve the residual degrees of freedom
h2o.var Variance of a column or covariance of columns.
h2o.varimp Retrieve the variable importance.
h2o.logAndEcho Log a message on the server-side logs
h2o.withinss Get the Within SS
h2o.logloss Retrieve the Log Loss Value
h2o.setLevels Set Levels of H2O Factor Column
h2o.rm Delete Objects In H2O
h2o.word2vec Trains a word2vec model on a String column of an H2O data frame
h2o.setTimezone Set the Time Zone on the H2O Cloud
h2o.makeGLMModel Set betas of an existing H2O GLM Model
h2o.sqrt Compute the square root of x
h2o.which_max Which indice contains the max value?
h2o.median H2O Median
h2o.which_min Which index contains the min value?
h2o.merge Merge Two H2O Data Frames
h2o.parseSetup Get a parse setup back for the staged data.
plot.H2OTabulate Plot an H2O Tabulate Heatmap
names.H2OFrame Column names of an H2OFrame
predict.H2OAutoML Predict on an AutoML object
h2o.nlevels Get the number of factor levels for this frame.
plot.H2OModel Plot an H2O Model
staged_predict_proba.H2OModel Predict class probabilities at each stage of an H2O Model
h2o.no_progress Disable Progress Bar
h2o.nacnt Count of NAs per column
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.stackedEnsemble Builds a Stacked Ensemble
str.H2OFrame Display the structure of an H2OFrame object
h2o.sub String Substitute
h2o.substring Substring
h2o.partialPlot Partial Dependence Plots
h2o.target_encode_create Create Target Encoding Map
h2o.rmse Retrieves Root Mean Squared Error Value
h2o.toFrame Convert a word2vec model into an H2OFrame
h2o.varimp_plot Plot Variable Importances
h2o.rmsle Retrieve the Root Mean Squared Log Error
h2o.week Convert Milliseconds to Week of Week Year in H2O Datasets
h2o.xgboost Build an eXtreme Gradient Boosting model
h2o.performance Model Performance Metrics in H2O
h2o.relevel Reorders levels of an H2O factor, similarly to standard R's relevel.
h2o.naiveBayes Compute naive Bayes probabilities on an H2O dataset.
h2o.reconstruct Reconstruct Training Data via H2O GLRM Model
h2o.null_dof Retrieve the null degrees of freedom
h2o.saveModelDetails Save an H2O Model Details
h2o.saveMojo Save an H2O Model Object as Mojo to Disk
h2o.xgboost.available Determines whether an XGBoost model can be built
h2o.skewness Skewness of a column
is.numeric Check if numeric
h2o.splitFrame Split an H2O Data Set
h2o.rep_len Replicate Elements of Vectors or Lists into H2O
h2o.tokenize Tokenize String
length,H2OTree-method Overrides the behavior of length() function on H2OTree class. Returns number of nodes in an H2OTree
h2o.num_iterations Retrieve the number of iterations.
h2o.tolower Convert strings to lowercase
h2o.residual_deviance Retrieve the residual deviance
h2o.weights Retrieve the respective weight matrix
h2o.predict_json H2O Prediction from R without having H2O running
h2o.runif Produce a Vector of Random Uniform Numbers
h2o.std_coef_plot Plot Standardized Coefficient Magnitudes
h2o.startLogging Start Writing H2O R Logs
h2o.saveModel Save an H2O Model Object to Disk
print.H2OFrame Print An H2OFrame
h2o.stopLogging Stop Writing H2O R Logs
h2o.print Print An H2OFrame
h2o.quantile Quantiles of H2O Frames.
print.H2OTable Print method for H2OTable objects
summary,H2OModel-method Print the Model Summary
use.package Use optional package
h2o.str Display the structure of an H2OFrame object
h2o.tabulate Tabulation between Two Columns of an H2OFrame
h2o.which Which indices are TRUE?
h2o.r2 Retrieve the R2 value
is.factor Check if factor
is.h2o Is H2O Frame object
h2o.tan Compute the tangent of x
h2o.trunc Truncate values in x toward 0
prostate Prostate Cancer Study
h2o.unique H2O Unique
predict.H2OModel Predict on an H2O Model
predict_leaf_node_assignment.H2OModel Predict the Leaf Node Assignment on an H2O Model
range.H2OFrame Range of an H2O Column
walking Muscular Actuations for Walking Subject
zzz Shutdown H2O cloud after examples run
h2o.round Round doubles/floats to the given number of decimal places.
h2o.rstrip Strip set from right
h2o.stringdist Compute element-wise string distances between two H2OFrames
h2o.strsplit String Split
h2o.tanh Compute the hyperbolic tangent of x
h2o.target_encode_apply Apply Target Encoding Map to Frame
h2o.transform Transform words (or sequences of words) to vectors using a word2vec model.
h2o.trim Trim Space
h2o.year Convert Milliseconds to Years in H2O Datasets
housevotes United States Congressional Voting Records 1984
iris Edgar Anderson's Iris Data
is.character Check if character
summary,H2OCoxPHModel-method Summary method for H2OCoxPHModel objects
summary,H2OGrid-method Format grid object in user-friendly way
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Last month downloads


Type Package
Date 2018-09-21
License Apache License (== 2.0)
URL https://github.com/h2oai/h2o-3
BugReports https://0xdata.atlassian.net/projects/PUBDEV
NeedsCompilation no
SystemRequirements Java (>= 7)
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' 'import.R' 'parse.R' 'export.R' 'edicts.R' 'models.R' 'coxph.R' 'coxphutils.R' 'kmeans.R' 'gbm.R' 'glm.R' 'glrm.R' 'pca.R' 'svd.R' 'deeplearning.R' 'stackedensemble.R' 'deepwater.R' 'xgboost.R' 'randomforest.R' 'naivebayes.R' 'word2vec.R' 'w2vutils.R' 'locate.R' 'grid.R' 'predict.R' 'zzz.R'
Packaged 2018-09-21 16:57:08 UTC; jenkins
Repository CRAN
Date/Publication 2018-09-25 10:30:03 UTC

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