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h2o (version 3.8.3.3)

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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Install

install.packages('h2o')

Monthly Downloads

13,455

Version

3.8.3.3

License

Apache License (== 2.0)

Maintainer

Last Published

July 13th, 2016

Functions in h2o (3.8.3.3)

Starting H2O For examples

R data.frame -> H2OFrame

Convert H2O Data to Numeric

as.matrix.H2OFrame

Convert an H2OFrame to a matrix

as.vector.H2OFrame

Convert an H2OFrame to a vector

Convert H2O Data to Factors

Apply on H2O Datasets

as.data.frame.H2OFrame

Converts parsed H2O data into an R data frame

Logical and for H2OFrames

as.character.H2OFrame

Convert an H2OFrame to a String

Rename an H2O object.

Check H2OFrame columns for factors

H2O R Interface

Returns the Dimensions of an H2OFrame

dimnames.H2OFrame

Column names of an H2OFrame

Anomaly Detection via H2O Deep Learning Model

Retrieve the AUC

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".

Australia Coastal Data

Returns the column names of an H2OFrame

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".

Delete All H2O R Logs

h2o.clusterInfo

Print H2O cluster info

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.clusterIsUp

Determine if an H2O cluster is up or not

Combine H2O Datasets by Columns

Return the respective bias vector

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".

Retrieve the Model Centers STD

Retrieve the Model Centers

h2o.cross_validation_holdout_predictions

Retrieve the cross-validation holdout predictions

h2o.confusionMatrix

Access H2O Confusion Matrices

Retrieve the normalized coefficients

h2o.clusterStatus

Return the status of the cluster

h2o.cross_validation_models

Retrieve the cross-validation models

h2o.cross_validation_fold_assignment

Retrieve the cross-validation fold assignment

h2o.cross_validation_predictions

Retrieve the cross-validation predictions

Retrieve the model coefficeints

Correlation of columns.

h2o.createFrame

Data H2OFrame Creation in H2O

h2o.downloadAllLogs

Download H2O Log Files to Disk

h2o.download_pojo

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

h2o.deepfeatures

Feature Generation via H2O Deep Learning Model

Split H2O Dataset, Apply Function, and Return Results

h2o.deeplearning

Build a Deep Neural Network

Convert Milliseconds to Day of Month in H2O Datasets

H2O Description of A Dataset

Cut H2O Numeric Data to Factor

Compute DCT of an H2OFrame

Convert Milliseconds to Day of Week in H2O Datasets

Gradient Boosted Machines

Access H2O Gains/Lift Tables

h2o.find_threshold_by_max_metric

Find the threshold, give the max metric

Export a Model to HDFS

h2o.filterNACols

Filter NA Columns

h2o.downloadCSV

Download H2O Data to Disk

Shannon entropy

Export an H2O Data Frame (H2OFrame) to a File

h2o.getGLMFullRegularizationPath

Extract full regularization path from glm model (assuming it was run with lambda search option)

h2o.find_row_by_threshold

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

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

Initialize and Connect to H2O

Basic Imputation of H2O Vectors

H2O Apply Conditional Statement

h2o.import_sql_select

Import SQL table that is result of SELECT SQL query into H2O

Retrieve the Log Loss Value

List Keys on an H2O Cluster

Group and Apply by Column

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

H2O Model Metric Accessor Functions

String Global Substitute

Dump the stack into the JVM's stdout.

Return the levels from the column requested column.

KMeans Model in H2O

h2o.listTimezones

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

Get the number of factor levels for this frame.

h2o.no_progress

Disable Progress Bar

Merge Two H2O Data Frames

Quantiles of H2O Frames.

Save an H2O Model Object to Disk

Round doubles/floats to the given number of significant digits.

Produce a Vector of Random Uniform Numbers

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".

Split an H2O Data Set

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

h2o.getConnection

Retrieve an H2O Connection

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.getFutureModel

Get future model

Return the Head or Tail of an H2O Dataset.

h2o.interaction

Categorical Interaction Feature Creation in H2O

Compute A Histogram

h2o.insertMissingValues

Inserting Missing Values to an H2O DataH2OFrame

Count of NAs per column

Log a message on the server-side logs

Load H2O Model from HDFS or Local Disk

Naive Bayes Model in H2O

Get an R reference to an H2O model

Retrieve the R2 value

Compute msec since the Unix Epoch

H2OModelFuture-class

H2O Future Model

plot.H2OTabulate

Plot an H2O Tabulate Heatmap

Logical or for H2OFrames

Check if numeric

H2OModelMetrics-class

The H2OModelMetrics Object.

predict_leaf_node_assignment.H2OModel

Predict the Leaf Node Assignment on an H2O Model

Convert Milliseconds to Hour of Day in H2O Datasets

Get the types-per-column

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".

h2o.getTimezone

Get the Time Zone on the H2O Cloud Returns a string

h2o.import_sql_table

Import SQL Table into H2O

Import Files into H2O

Retrieves Mean Squared Error Value

Convert Milliseconds to Months in H2O Datasets

Principal Components Analysis

h2o.proj_archetypes

Convert Archetypes to Features from H2O GLRM Model

Set Levels of H2O Factor Column

String Substitute

h2o.setTimezone

Set the Time Zone on the H2O Cloud

Get the Within SS

H2O Data Parsing

View H2O R Logs

Prostate Cancer Study

Print method for H2OTable objects

Replicate Elements of Vectors or Lists into H2O

h2o.startLogging

Start Writing H2O R Logs

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.stopLogging

Stop Writing H2O R Logs

Convert Milliseconds to Years in H2O Datasets

h2o.num_iterations

Retrieve the number of iterations.

h2o.num_valid_substrings

Count of substrings >= 2 chars that are contained in file

h2o.performance

Model Performance Metrics in H2O

Get a parse setup back for the staged data.

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".

h2o.scoreHistory

Retrieve Model Score History

Scaling and Centering of an H2OFrame

Delete Objects In H2O

Get h2o version

Retrieve the GINI Coefficcient

h2o.kfold_column

Produce a k-fold column vector.

Check Client Mode Connection

h2o.mean_residual_deviance

Retrieve the Mean Residual Deviance value

h2o.makeGLMModel

Set betas of an existing H2O GLM Model

Strip set from left

h2o.networkTest

View Network Traffic Speed

Mean of a column

Generalized Low Rank Model

H2O Grid Support

Value Matching in H2O

h2o.mean_per_class_error

Retrieve the mean per class error

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".

h2o.reconstruct

Reconstruct Training Data via H2O GLRM Model

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".

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

Strip set from right

Round doubles/floats to the given number of decimal places.

Singular Value Decomposition

Cross Tabulation and Table Creation in H2O

Retrieve the variable importance.

Check if character

Check if factor

summary,H2OGrid-method

Format grid object in user-friendly way

summary,H2OModel-method

Print the Model Summary

Convert Milliseconds to Week of Week Year in H2O Datasets

H2OFrame-Extract

Extract or Replace Parts of an H2OFrame Object

S3 Group Generic Functions for H2O

predict.H2OModel

Predict on an H2O Model

Combine H2O Datasets by Rows

na.omit.H2OFrame

Remove Rows With NAs

Accessor Methods for H2OModel Object

h2o.randomForest

Build a Big Data Random Forest Model

h2o.show_progress

Enable Progress Bar

Remove All Objects on the H2O Cluster

Delete Columns from an H2OFrame

Tabulation between Two Columns of an H2OFrame

Standard Deviation of a column of data.

Summarizes the columns of an H2OFrame.

Retrieve the standard deviations of principal components

H2OConnection-class

The H2OConnection class.

H2OClusteringModel-class

The H2OClusteringModel object.

Variance of a column or covariance of columns.

Shut Down H2O Instance

Column names of an H2OFrame

Plot an H2O Model

Print An H2OFrame

Shutdown H2O cloud after examples run

Muscular Actuations for Walking Subject

Which indices are TRUE?

Retrieve the respective weight matrix

The H2OModel object.

United States Congressional Voting Records 1984

Edgar Anderson's Iris Data

Range of an H2O Column

Display the structure of an H2OFrame object