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h2o (version 3.6.0.8)

R Interface for H2O

Description

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.

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Version

Install

install.packages('h2o')

Monthly Downloads

9,655

Version

3.6.0.8

License

Apache License (== 2.0)

Maintainer

Tom Kraljevic

Last Published

November 24th, 2015

Functions in h2o (3.6.0.8)

as.character.Frame

Convert an H2O Frame to a String

Convert H2O Data to Numeric

Get an R Reference to an H2O Dataset, that will NOT be GC'd by default

h2o.filterNACols

Filter NA Columns

Get h2o version

H2O Apply Conditional Statement

Import Files into H2O

Retrieve the Log Loss Value

Basic Imputation of H2O Vectors

View H2O R Logs

h2o.null_deviance

Retrieve the null deviance If "train", "valid", and "xval" parameters are FALSE (default), then the training null deviance value is returned. If more than one parameter is set to TRUE, then a named vector of null deviances are returned, where the names are "train", "valid" or "xval".

String Substitute

Check if numeric

Prostate Cancer Study

Cross Tabulation and Table Creation in H2O

h2o.setTimezone

Set the Time Zone on the H2O Cloud

h2o.residual_dof

Retrieve the residual degrees of freedom If "train", "valid", and "xval" parameters are FALSE (default), then the training residual degrees of freedom value is returned. If more than one parameter is set to TRUE, then a named vector of residual degrees of freedom are returned, where the names are "train", "valid" or "xval".

Set Levels of H2O Factor Column

h2o.startGLMJob

Start an H2O Generalized Linear Model Job

h2o.makeGLMModel

Set betas of an existing H2O GLM Model

Anomaly Detection via H2O Deep Learning Model

Retrieve the Model Centers

Cut H2O Numeric Data to Factor

h2o.downloadCSV

Download H2O Data to Disk

Export a Model to HDFS

Get a grid object from H2O distributed K/V store.

Retrieve the normalized coefficients

h2o.find_threshold_by_max_metric

Find the threshold, give the max metric

H2O Grid Support

Retrieve the GINI Coefficcient

Convert Milliseconds to Hour of Day in H2O Datasets

Load H2O Model from HDFS or Local Disk

as.data.frame.Frame

Converts a Parsed H2O data into a Data Frame

Retrieve the model coefficeints

h2o.networkTest

View Network Traffic Speed

Save an H2O Model Object to Disk

Initialize and Connect to H2O

Delete Columns from a Frame

Get the types-per-column

Generalized Low Rank Model

Standard Deviation of a column of data.

Compute msec since the Unix Epoch

Variance of a column.

H2O Data Parsing

Retrieve the standard deviations of principal components

Shut Down H2O Instance

Check if factor

Split an H2O Data Set

h2o.stopLogging

Stop Writing H2O R Logs

predict.H2OModel

Predict on an H2O Model

plot.H2OTabulate

Plot an H2O Tabulate Heatmap

Edgar Anderson's Iris Data

Plot an H2O Model

as.matrix.Frame

Convert an H2O Frame to a matrix

Column names of an H2O Frame

Delete All H2O R Logs

Retrieve the AUC

Convert Milliseconds to Day of Month in H2O Datasets

h2o.downloadAllLogs

Download H2O Log Files to Disk

Split H2O Dataset, Apply Function, and Return Results

Gradient Boosted Machines

h2o.getFutureModel

Get future model

Get back-end distributed key/value store id from a Frame.

Dump the stack into the JVM's stdout.

Retrieve the null degrees of freedom If "train", "valid", and "xval" parameters are FALSE (default), then the training null degrees of freedom value is returned. If more than one parameter is set to TRUE, then a named vector of null degrees of freedom are returned, where the names are "train", "valid" or "xval".

h2o.performance

Model Performance Metrics in H2O

Singular Value Decomposition

Muscular Actuations for Walking Subject

H2OConnection-class

The H2OConnection class.

Convert an H2O Frame to a vector

Accessor Methods for H2OModel Object

Starting H2O For examples

Compute DCT of an H2O Frame

h2o.confusionMatrix

Access H2O Confusion Matrices

h2o.find_row_by_threshold

Find the threshold, give the max metric. No duplicate thresholds allowed

Export an H2O Data Frame to a File

String Global Substitute

Compute A Histogram

Remove All Objects on the H2O Cluster

h2o.insertMissingValues

Inserting Missing Values to an H2O DataFrame

Scaling and Centering of an H2O Frame

h2o.startLogging

Start Writing H2O R Logs

United States Congressional Voting Records 1984

Print method for H2OTable objects

Range of an H2O Column

H2OModelFuture-class

H2O Future Model

Convert H2O Data to Factors

H2OModelMetrics-class

The H2OModelMetrics Object.

Australia Coastal Data

h2o.deepfeatures

Feature Generation via H2O Deep Learning Model

Returns the column names of a Frame

h2o.download_pojo

Download the Scoring POJO (Plain Old Java Object) of a H2O Model

Log a message on the server-side logs

Value Matching in H2O

List Keys on an H2O Cluster

Retrieve the R2 value

Retrieve the variable importance.

summary,H2OModel-method

Print the Model Summary

H2OClusteringModel-class

The H2OClusteringModel object.

S3 Group Generic Functions for H2O

Returns the Dimensions of an H2O Frame

Return the respective bias vector

Retrieve the Model Centers STD

Check Frame columns for factors

h2o.getTimezone

Get the Time Zone on the H2O Cloud Returns a string

Return the levels from the column requested column.

Merge Two H2O Data Frames

h2o.residual_deviance

Retrieve the residual deviance If "train", "valid", and "xval" parameters are FALSE (default), then the training residual deviance value is returned. If more than one parameter is set to TRUE, then a named vector of residual deviances are returned, where the names are "train", "valid" or "xval".

H2O Generalized Linear Models

h2o.tot_withinss

Get the total within cluster sum of squares. If "train", "valid", and "xval" parameters are FALSE (default), then the training tot_withinss value is returned. If more than one parameter is set to TRUE, then a named vector of tot_withinss' are returned, where the names are "train", "valid" or "xval".

h2o.scoreHistory

Retrieve Model Score History

Retrieve the respective weight matrix

Remove Rows With NAs

Column names of an H2O Frame

summary,H2OGrid-method

Format grid object in user-friendly way

Convert Milliseconds to Years in H2O Datasets

Apply on H2O Datasets

Rename an H2O object.

Get the between cluster sum of squares. If "train", "valid", and "xval" parameters are FALSE (default), then the training betweenss value is returned. If more than one parameter is set to TRUE, then a named vector of betweenss' are returned, where the names are "train", "valid" or "xval".

Get an R reference to an H2O model

KMeans Model in H2O

h2o.listTimezones

List all of the Time Zones Acceptable by the H2O Cloud.

Get a parse setup back for the staged data.

Principal Components Analysis

Delete Objects In H2O

Tabulation between Two Columns of a H2O Frame

Convert Milliseconds to Week of Week Year in H2O Datasets

Get the Within SS

Get the total sum of squares. If "train", "valid", and "xval" parameters are FALSE (default), then the training totss value is returned. If more than one parameter is set to TRUE, then a named vector of totss' are returned, where the names are "train", "valid" or "xval".

h2o.clusterIsUp

Determine if an H2O cluster is up or not

Convert Milliseconds to Months in H2O Datasets

Extract or Replace Parts of an H2O Frame Object

Quantiles of H2O Frames.

h2o.hit_ratio_table

Retrieve the Hit Ratios If "train", "valid", and "xval" parameters are FALSE (default), then the training Hit Ratios value is returned. If more than one parameter is set to TRUE, then a named list of Hit Ratio tables are returned, where the names are "train", "valid" or "xval".

Return the Head or Tail of an H2O Dataset.

h2o.mean_residual_deviance

Retrieve the Mean Residual Deviance value

Retrieves Mean Squared Error Value

Summarizes the columns of a H2O data frame.

Print An H2O Frame

h2o.clusterInfo

Print H2O cluster info

h2o.clusterStatus

Return the status of the cluster

h2o.createFrame

Data Frame Creation in H2O

Group and Apply by Column

Shutdown H2O cloud after examples run

Retrieve the AIC. If "train", "valid", and "xval" parameters are FALSE (default), then the training AIC value is returned. If more than one parameter is set to TRUE, then a named vector of AICs are returned, where the names are "train", "valid" or "xval".

Combine H2O Datasets by Columns

h2o.num_iterations

Retrieve the number of iterations.

Replicate Elements of Vectors or Lists into H2O

Produce a Vector of Random Uniform Numbers

Display the structure of an H2O Frame object

R data.frame -> Frame

h2o.deeplearning

Build a Deep Learning Neural Network

h2o.interaction

Categorical Interaction Feature Creation in H2O

Check Client Mode Connection

Naive Bayes Model in H2O

h2o.randomForest

Build a Big Data Random Forest Model

h2o.centroid_stats

Retrieve the centroid statistics If "train", "valid", and "xval" parameters are FALSE (default), then the training centroid stats value is returned. If more than one parameter is set to TRUE, then a named list of centroid stats data frames are returned, where the names are "train", "valid" or "xval".

H2O R Interface

Convert Milliseconds to Day of Week in H2O Datasets

Combine H2O Datasets by Rows

The H2OModel object.

h2o.cluster_sizes

Retrieve the cluster sizes If "train", "valid", and "xval" parameters are FALSE (default), then the training cluster sizes value is returned. If more than one parameter is set to TRUE, then a named list of cluster size vectors are returned, where the names are "train", "valid" or "xval".

h2o.getConnection

Retrieve an H2O Connection

H2O Model Metric Accessor Functions

Mean of a column