h2o: R Interface for H2O

R scripting functionality for H2O, the open source math engine for big data that computes parallel distributed machine learning algorithms such as generalized linear models, gradient boosting machines, random forests, and neural networks (deep learning) within various cluster environments.

AuthorThe H2O.ai team
Date of publication2017-01-18 00:47:42
MaintainerTom Kraljevic <tomk@0xdata.com>
LicenseApache License (== 2.0)
Version3.10.2.2
https://github.com/h2oai/h2o-3

View on CRAN

Man pages

aaa: Starting H2O For examples

and-and: Logical and for H2OFrames

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.factor: Convert H2O Data to Factors

as.h2o: Create H2OFrame

as.matrix.H2OFrame: Convert an H2OFrame to a matrix

as.numeric: Convert H2O Data to Numeric

as.vector.H2OFrame: Convert an H2OFrame to a vector

australia: Australia Coastal Data

colnames: Returns the column names of an H2OFrame

dim.H2OFrame: Returns the Dimensions of an H2OFrame

dimnames.H2OFrame: Column names of an H2OFrame

h2o.abs: Compute the absolute value of x

h2o.acos: Compute the arc cosine of x

h2o.aic: Retrieve the AIC. If "train", "valid", and "xval" parameters...

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...

h2o.anyFactor: Check H2OFrame columns for factors

h2o.arrange: Sorts H2OFrame by the columns specified. Returns a new...

h2o.ascharacter: Convert H2O Data to Characters

h2o.as_date: Functions to convert between character representations and...

h2o.asfactor: Convert H2O Data to Factors

h2o.asnumeric: Convert H2O Data to Numerics

h2o.assign: Rename an H2O object.

h2o.auc: Retrieve the AUC

h2o.betweenss: Get the between cluster sum of squares. If "train", "valid",...

h2o.biases: Return the respective bias vector

h2o.cbind: Combine H2O Datasets by Columns

h2o.ceiling: ceiling takes a single numeric argument x and returns a...

h2o.centers: Retrieve the Model Centers

h2o.centersSTD: Retrieve the Model Centers STD

h2o.centroid_stats: Retrieve the centroid statistics If "train", "valid", and...

h2o.clearLog: Delete All H2O R Logs

h2o.clusterInfo: Print H2O cluster info

H2OClusteringModel-class: The H2OClusteringModel object.

h2o.clusterIsUp: Determine if an H2O cluster is up or not

h2o.cluster_sizes: Retrieve the cluster sizes If "train", "valid", and "xval"...

h2o.clusterStatus: Return the status of the cluster

h2o.coef: Retrieve the model coefficeints

h2o.coef_norm: Retrieve the normalized coefficients

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

H2OConnection-class: The H2OConnection class.

h2o.cor: Correlation of columns.

h2o.cos: Compute the cosine of x

h2o.cosh: Compute the hyperbolic cosine of x

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.deepfeatures: Feature Generation via H2O Deep Learning Model

h2o.deeplearning: Build a Deep Neural Network model using CPUs Builds a...

h2o.deepwater: Build a Deep Learning model using multiple native GPU...

h2o.deepwater.available: Ask the H2O server whether a Deep Water model can be built...

h2o.describe: H2O Description of A Dataset

h2o.diff: Conduct a lag 1 transform on a numeric H2OFrame column

h2o.dim: Returns the number of rows and columns for an H2OFrame...

h2o.dimnames: Column names of an H2OFrame

h2o.downloadAllLogs: Download H2O Log Files to Disk

h2o.downloadCSV: Download H2O Data to Disk

h2o.download_mojo: Download the model in MOJO format.

h2o.download_pojo: Download the Scoring POJO (Plain Old Java Object) of an H2O...

h2o.entropy: Shannon entropy

h2o.exp: Compute the exponential function of x

h2o.exportFile: Export an H2O Data Frame (H2OFrame) to a File or to a...

h2o.exportHDFS: Export a Model to HDFS

h2o.filterNACols: Filter NA Columns

h2o.find_row_by_threshold: Find the threshold, give the max metric. No duplicate...

h2o.find_threshold_by_max_metric: Find the threshold, give the max metric

h2o.floor: floor takes a single numeric argument x and returns a numeric...

H2OFrame: S3 Group Generic Functions for H2O

H2OFrame-Extract: Extract or Replace Parts of an H2OFrame Object

h2o.gainsLift: Access H2O Gains/Lift Tables

h2o.gbm: Builds gradient boosted classification trees and gradient...

h2o.getConnection: Retrieve an H2O Connection

h2o.getFrame: Get an R Reference to an H2O Dataset, that will NOT be GC'd...

h2o.getFutureModel: Get future model

h2o.getGLMFullRegularizationPath: Extract full regularization path from glm model (assuming it...

h2o.getGrid: Get a grid object from H2O distributed K/V store. Note that...

h2o.getId: Get back-end distributed key/value store id from an H2OFrame.

h2o.getModel: Get an R reference to an H2O model

h2o.getTimezone: Get the Time Zone on the H2O Cloud Returns a string

h2o.getTypes: Get the types-per-column

h2o.getVersion: Get h2o version

h2o.giniCoef: Retrieve the GINI Coefficcient

h2o.glm: Fits a generalized linear model, specified by a response...

h2o.glrm: Generalized low rank decomposition of an H2O data frame.

h2o.grid: H2O Grid Support

H2OGrid-class: H2O Grid

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.hist: Compute A Histogram

h2o.hit_ratio_table: Retrieve the Hit Ratios If "train", "valid", and "xval"...

h2o.hour: Convert Milliseconds to Hour of Day in H2O Datasets

h2o.ifelse: H2O Apply Conditional Statement

h2o.importFile: Import Files into H2O

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: Inserting Missing Values to an H2O DataH2OFrame

h2o.interaction: Categorical Interaction Feature Creation in H2O

h2o.isax: iSAX

h2o.ischaracter: Check if character

h2o.is_client: Check Client Mode Connection

h2o.isfactor: Check if factor

h2o.isnumeric: Check if numeric

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.levels: Return the levels from the column requested column.

h2o.listTimezones: List all of the Time Zones Acceptable by the H2O Cloud.

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.mean: Compute the frame's mean by-column (or by-row).

h2o.mean_per_class_error: Retrieve the mean per class error

h2o.mean_residual_deviance: Retrieve the Mean Residual Deviance value

h2o.median: H2O Median

h2o.merge: Merge Two H2O Data Frames

h2o.metric: H2O Model Metric Accessor Functions

h2o.min: Returns the minima of the input values.

h2o.mktime: Compute msec since the Unix Epoch

H2OModel-class: The H2OModel object.

H2OModelFuture-class: H2O Future Model

H2OModelMetrics-class: The H2OModelMetrics Object.

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 If "train", "valid", and "xval"...

h2o.null_dof: Retrieve the null degrees of freedom If "train", "valid", and...

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-package: H2O R Interface

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.prcomp: Principal components analysis of an H2O data frame using the...

h2o.print: Print An H2OFrame

h2o.prod: Return the product of all the values present in its...

h2o.proj_archetypes: Convert Archetypes to Features from H2O GLRM Model

h2o.quantile: Quantiles of H2O Frames.

h2o.r2: Retrieve the R2 value

h2o.randomForest: Builds a Random Forest Model on an H2OFrame

h2o.range: Returns a vector containing the minimum and maximum of all...

h2o.rbind: Combine H2O Datasets by Rows

h2o.reconstruct: Reconstruct Training Data via H2O GLRM Model

h2o.relevel: Reorders levels of an H2O factor, similarly to standard R's...

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 If "train", "valid", and...

h2o.residual_dof: Retrieve the residual degrees of freedom If "train", "valid",...

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.saveModel: Save an H2O Model Object 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.setLevels: Set Levels of H2O Factor Column

h2o.setTimezone: Set the Time Zone on the H2O Cloud

h2o.show_progress: Enable Progress Bar

h2o.shutdown: Shut Down H2O Instance

h2o.signif: Round doubles/floats to the given number of significant...

h2o.sin: Compute the sine of x

h2o.skewness: Skewness of a column

h2o.splitFrame: Split an H2O Data Set

h2o.sqrt: Compute the square root of x

h2o.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.strsplit: String Split

h2o.sub: String Substitute

h2o.substring: Substring

h2o.sum: Compute the frame's sum by-column (or by-row).

h2o.summary: Summarizes the columns of an H2OFrame.

h2o.svd: Singular value decomposition of an H2O data frame using the...

h2o.table: Cross Tabulation and Table Creation in H2O

h2o.tabulate: Tabulation between Two Columns of an H2OFrame

h2o.tan: Compute the tangent of x

h2o.tanh: Compute the hyperbolic tangent of x

h2o.tolower: To Lower

h2o.totss: Get the total sum of squares. If "train", "valid", and "xval"...

h2o.tot_withinss: Get the total within cluster sum of squares. If "train",...

h2o.toupper: To Upper

h2o.trim: Trim Space

h2o.trunc: trunc takes a single numeric argument x and returns a numeric...

h2o.unique: H2O Unique

h2o.var: Variance of a column or covariance of columns.

h2o.varimp: Retrieve the variable importance.

h2o.varimp_plot: Plot Variable Importances

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.withinss: Get the Within SS

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

is.factor: Check if factor

is.h2o: Is H2O Frame object

is.numeric: Check if numeric

Logical-or: Logical or for H2OFrames

ModelAccessors: Accessor Methods for H2OModel Object

names.H2OFrame: Column names of an H2OFrame

plot.H2OModel: Plot an H2O Model

plot.H2OTabulate: Plot an H2O Tabulate Heatmap

predict.H2OModel: Predict on an H2O Model

predict_leaf_node_assignment.H2OModel: Predict the Leaf Node Assignment on an H2O Model

print.H2OFrame: Print An H2OFrame

print.H2OTable: Print method for H2OTable objects

prostate: Prostate Cancer Study

range.H2OFrame: Range of an H2O Column

str.H2OFrame: Display the structure of an H2OFrame object

summary-H2OGrid-method: Format grid object in user-friendly way

summary-H2OModel-method: Print the Model Summary

use.package: Use optional package

walking: Muscular Actuations for Walking Subject

zzz: Shutdown H2O cloud after examples run

Files in this package

h2o
h2o/inst
h2o/inst/source_code_repository_info.txt
h2o/inst/buildnum.txt
h2o/inst/java
h2o/inst/extdata
h2o/inst/extdata/housevotes.csv
h2o/inst/extdata/prostate_folder
h2o/inst/extdata/prostate_folder/prostate.p2.csv
h2o/inst/extdata/prostate_folder/prostate.p1.csv
h2o/inst/extdata/prostate_folder/prostate.p3.csv
h2o/inst/extdata/australia.csv
h2o/inst/extdata/iris_header.csv
h2o/inst/extdata/walking.csv
h2o/inst/extdata/iris.csv
h2o/inst/extdata/prostate.csv
h2o/inst/extdata/iris_wheader.csv
h2o/inst/branch.txt
h2o/NAMESPACE
h2o/demo
h2o/demo/h2o.prcomp.R
h2o/demo/h2o.glrm.R
h2o/demo/h2o.naiveBayes.R
h2o/demo/00Index
h2o/demo/h2o.glm.R
h2o/demo/h2o.randomForest.R
h2o/demo/h2o.anomaly.R
h2o/demo/h2o.gbm.R
h2o/demo/h2o.kmeans.R
h2o/demo/h2o.deeplearning.R
h2o/NEWS
h2o/R
h2o/R/classes.R h2o/R/connection.R h2o/R/pca.R h2o/R/word2vec.R h2o/R/frame.R h2o/R/models.R h2o/R/kmeans.R h2o/R/randomforest.R h2o/R/kvstore.R h2o/R/communication.R h2o/R/deepwater.R h2o/R/glm.R h2o/R/logging.R h2o/R/edicts.R h2o/R/import.R h2o/R/config.R h2o/R/locate.R h2o/R/parse.R h2o/R/gbm.R h2o/R/export.R h2o/R/deeplearning.R h2o/R/astfun.R h2o/R/constants.R h2o/R/glrm.R h2o/R/naivebayes.R h2o/R/grid.R h2o/R/datasets.R h2o/R/svd.R h2o/R/zzz.R
h2o/MD5
h2o/DESCRIPTION
h2o/man
h2o/man/h2o.is_client.Rd h2o/man/h2o.naiveBayes.Rd h2o/man/aaa.Rd h2o/man/h2o.getGrid.Rd h2o/man/h2o.mean.Rd h2o/man/h2o.substring.Rd h2o/man/h2o.merge.Rd h2o/man/h2o.removeAll.Rd h2o/man/h2o.sub.Rd h2o/man/h2o.svd.Rd h2o/man/h2o.loadModel.Rd h2o/man/h2o.tabulate.Rd h2o/man/h2o.tot_withinss.Rd h2o/man/h2o.computeGram.Rd h2o/man/h2o.signif.Rd h2o/man/h2o.cross_validation_models.Rd h2o/man/h2o.sqrt.Rd h2o/man/H2OFrame.Rd h2o/man/h2o.cluster_sizes.Rd h2o/man/h2o.tan.Rd h2o/man/h2o.asfactor.Rd h2o/man/H2OGrid-class.Rd h2o/man/h2o.filterNACols.Rd h2o/man/iris.Rd h2o/man/h2o.ls.Rd h2o/man/h2o.exportHDFS.Rd h2o/man/h2o.cummax.Rd h2o/man/h2o.parseRaw.Rd h2o/man/Logical-or.Rd h2o/man/walking.Rd h2o/man/h2o.logAndEcho.Rd h2o/man/h2o.log10.Rd h2o/man/h2o.coef.Rd h2o/man/as.numeric.Rd h2o/man/h2o.log2.Rd h2o/man/h2o.ceiling.Rd h2o/man/h2o.table.Rd h2o/man/dim.H2OFrame.Rd h2o/man/h2o.cos.Rd h2o/man/h2o.cross_validation_predictions.Rd h2o/man/summary-H2OModel-method.Rd h2o/man/and-and.Rd h2o/man/h2o.cumsum.Rd h2o/man/h2o.makeGLMModel.Rd h2o/man/is.character.Rd h2o/man/h2o.entropy.Rd h2o/man/h2o.cosh.Rd h2o/man/h2o.day.Rd h2o/man/h2o.min.Rd h2o/man/h2o.weights.Rd h2o/man/h2o.assign.Rd h2o/man/h2o.max.Rd h2o/man/h2o.mean_residual_deviance.Rd h2o/man/h2o.download_pojo.Rd h2o/man/print.H2OFrame.Rd h2o/man/h2o.num_iterations.Rd h2o/man/h2o.std_coef_plot.Rd h2o/man/h2o.runif.Rd h2o/man/h2o.cross_validation_fold_assignment.Rd h2o/man/h2o.createFrame.Rd h2o/man/h2o.num_valid_substrings.Rd h2o/man/h2o.startLogging.Rd h2o/man/australia.Rd h2o/man/h2o.listTimezones.Rd h2o/man/h2o.randomForest.Rd h2o/man/h2o.na_omit.Rd h2o/man/h2o.nlevels.Rd h2o/man/as.vector.H2OFrame.Rd h2o/man/h2o.anomaly.Rd h2o/man/h2o.make_metrics.Rd h2o/man/h2o.centersSTD.Rd h2o/man/h2o.centroid_stats.Rd h2o/man/h2o.sd.Rd h2o/man/h2o.networkTest.Rd h2o/man/h2o.kmeans.Rd h2o/man/h2o.clusterInfo.Rd h2o/man/h2o.interaction.Rd h2o/man/h2o.deepwater.Rd h2o/man/h2o.getId.Rd h2o/man/h2o.rbind.Rd h2o/man/h2o.scoreHistory.Rd h2o/man/h2o.removeVecs.Rd h2o/man/plot.H2OTabulate.Rd h2o/man/h2o.find_row_by_threshold.Rd h2o/man/h2o.giniCoef.Rd h2o/man/h2o.rmse.Rd h2o/man/use.package.Rd h2o/man/h2o.kurtosis.Rd h2o/man/h2o.partialPlot.Rd h2o/man/h2o.rstrip.Rd h2o/man/h2o.withinss.Rd h2o/man/h2o.gainsLift.Rd h2o/man/h2o.null_deviance.Rd h2o/man/as.character.H2OFrame.Rd h2o/man/h2o.hist.Rd h2o/man/h2o.hit_ratio_table.Rd h2o/man/h2o.median.Rd h2o/man/h2o.varimp_plot.Rd h2o/man/h2o.asnumeric.Rd h2o/man/h2o.sdev.Rd h2o/man/h2o.colnames.Rd h2o/man/H2OFrame-Extract.Rd h2o/man/h2o.downloadAllLogs.Rd h2o/man/h2o.show_progress.Rd h2o/man/h2o-package.Rd h2o/man/is.h2o.Rd h2o/man/is.numeric.Rd h2o/man/h2o.no_progress.Rd h2o/man/h2o.exp.Rd h2o/man/h2o.names.Rd h2o/man/h2o.deeplearning.Rd h2o/man/h2o.log.Rd h2o/man/h2o.mse.Rd h2o/man/h2o.cummin.Rd h2o/man/h2o.gsub.Rd h2o/man/print.H2OTable.Rd h2o/man/is.factor.Rd h2o/man/h2o.ischaracter.Rd h2o/man/h2o.trim.Rd h2o/man/h2o.cut.Rd h2o/man/h2o.rep_len.Rd h2o/man/as.matrix.H2OFrame.Rd h2o/man/h2o.getFutureModel.Rd h2o/man/h2o.trunc.Rd h2o/man/h2o.acos.Rd h2o/man/h2o.varimp.Rd h2o/man/h2o.glm.Rd h2o/man/h2o.diff.Rd h2o/man/h2o.insertMissingValues.Rd h2o/man/h2o.getConnection.Rd h2o/man/h2o.which.Rd h2o/man/h2o.year.Rd h2o/man/h2o.coef_norm.Rd h2o/man/h2o.nrow.Rd h2o/man/h2o.match.Rd h2o/man/h2o.range.Rd h2o/man/h2o.abs.Rd h2o/man/h2o.r2.Rd h2o/man/h2o.group_by.Rd h2o/man/h2o.sum.Rd h2o/man/h2o.reconstruct.Rd h2o/man/h2o.betweenss.Rd h2o/man/h2o.str.Rd h2o/man/h2o.hour.Rd h2o/man/h2o.levels.Rd h2o/man/h2o.aic.Rd h2o/man/h2o.residual_deviance.Rd h2o/man/h2o.mean_per_class_error.Rd h2o/man/h2o.clearLog.Rd h2o/man/h2o.clusterStatus.Rd h2o/man/prostate.Rd h2o/man/h2o.nchar.Rd h2o/man/h2o.performance.Rd h2o/man/h2o.unique.Rd h2o/man/h2o.scale.Rd h2o/man/as.h2o.Rd h2o/man/h2o.isfactor.Rd h2o/man/h2o.prcomp.Rd h2o/man/h2o.rmsle.Rd h2o/man/h2o.round.Rd h2o/man/h2o.downloadCSV.Rd h2o/man/h2o.metric.Rd h2o/man/h2o.skewness.Rd h2o/man/h2o.confusionMatrix.Rd h2o/man/h2o.dim.Rd h2o/man/h2o.setLevels.Rd h2o/man/h2o.kfold_column.Rd h2o/man/H2OModelMetrics-class.Rd h2o/man/range.H2OFrame.Rd h2o/man/h2o.getModel.Rd h2o/man/h2o.import_sql_table.Rd h2o/man/dimnames.H2OFrame.Rd h2o/man/h2o.isax.Rd h2o/man/h2o.cbind.Rd h2o/man/h2o.null_dof.Rd h2o/man/h2o.gbm.Rd h2o/man/zzz.Rd h2o/man/h2o.ascharacter.Rd h2o/man/h2o.lstrip.Rd h2o/man/h2o.week.Rd h2o/man/as.data.frame.H2OFrame.Rd h2o/man/h2o.impute.Rd h2o/man/housevotes.Rd h2o/man/h2o.splitFrame.Rd h2o/man/H2OConnection-class.Rd h2o/man/h2o.grid.Rd h2o/man/h2o.ifelse.Rd h2o/man/h2o.toupper.Rd h2o/man/h2o.auc.Rd h2o/man/h2o.mae.Rd h2o/man/h2o.clusterIsUp.Rd h2o/man/h2o.sin.Rd h2o/man/h2o.glrm.Rd h2o/man/h2o.proj_archetypes.Rd h2o/man/h2o.deepfeatures.Rd h2o/man/h2o.logloss.Rd h2o/man/h2o.any.Rd h2o/man/h2o.tolower.Rd h2o/man/h2o.importFile.Rd h2o/man/h2o.getTypes.Rd h2o/man/H2OModelFuture-class.Rd h2o/man/h2o.dayOfWeek.Rd h2o/man/H2OModel-class.Rd h2o/man/names.H2OFrame.Rd h2o/man/h2o.cumprod.Rd h2o/man/h2o.tanh.Rd h2o/man/h2o.find_threshold_by_max_metric.Rd h2o/man/h2o.print.Rd h2o/man/h2o.var.Rd h2o/man/H2OClusteringModel-class.Rd h2o/man/h2o.download_mojo.Rd h2o/man/h2o.getGLMFullRegularizationPath.Rd h2o/man/predict_leaf_node_assignment.H2OModel.Rd h2o/man/h2o.relevel.Rd h2o/man/h2o.head.Rd h2o/man/h2o.init.Rd h2o/man/apply.Rd h2o/man/predict.H2OModel.Rd h2o/man/summary-H2OGrid-method.Rd h2o/man/h2o.all.Rd h2o/man/h2o.dimnames.Rd h2o/man/ModelAccessors.Rd h2o/man/h2o.residual_dof.Rd h2o/man/h2o.totss.Rd h2o/man/h2o.biases.Rd h2o/man/h2o.as_date.Rd h2o/man/str.H2OFrame.Rd h2o/man/h2o.prod.Rd h2o/man/h2o.getFrame.Rd h2o/man/h2o.stopLogging.Rd h2o/man/h2o.openLog.Rd h2o/man/h2o.columns_by_type.Rd h2o/man/h2o.anyFactor.Rd h2o/man/h2o.import_sql_select.Rd h2o/man/h2o.deepwater.available.Rd h2o/man/h2o.nacnt.Rd h2o/man/h2o.getTimezone.Rd h2o/man/h2o.quantile.Rd h2o/man/h2o.isnumeric.Rd h2o/man/h2o.rm.Rd h2o/man/h2o.mktime.Rd h2o/man/h2o.getVersion.Rd h2o/man/h2o.setTimezone.Rd h2o/man/plot.H2OModel.Rd h2o/man/h2o.ncol.Rd h2o/man/h2o.cor.Rd h2o/man/h2o.saveModel.Rd h2o/man/as.factor.Rd h2o/man/h2o.cross_validation_holdout_predictions.Rd h2o/man/h2o.exportFile.Rd h2o/man/h2o.log1p.Rd h2o/man/h2o.shutdown.Rd h2o/man/h2o.summary.Rd h2o/man/h2o.parseSetup.Rd h2o/man/h2o.month.Rd h2o/man/h2o.dct.Rd h2o/man/h2o.centers.Rd h2o/man/colnames.Rd h2o/man/h2o.strsplit.Rd h2o/man/h2o.ddply.Rd h2o/man/h2o.describe.Rd h2o/man/h2o.arrange.Rd h2o/man/h2o.killMinus3.Rd h2o/man/h2o.floor.Rd

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