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h2o (version 3.10.4.6)

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.packages('h2o')

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Version

3.10.4.6

License

Apache License (== 2.0)

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Repository

https://github.com/h2oai/h2o-3

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Last Published

May 2nd, 2017

Functions in h2o (3.10.4.6)

Logical or for H2OFrames

Accessor Methods for H2OModel Object

H2OModelFuture-class

H2O Future Model

H2OModelMetrics-class

The H2OModelMetrics Object.

H2OFrame-Extract

Extract or Replace Parts of an H2OFrame Object

S3 Group Generic Functions for H2O

The H2OModel object.

H2OClusteringModel-class

The H2OClusteringModel object.

H2OConnection-class

The H2OConnection class.

Convert H2O Data to Numeric

as.vector.H2OFrame

Convert an H2OFrame to a vector

Australia Coastal Data

Starting H2O For examples

Logical and for H2OFrames

H2O R Interface

Compute the absolute value of x

Returns the column names of an H2OFrame

Convert H2O Data to Numerics

Rename an H2O object.

Retrieve the Model Centers STD

Create H2OFrame

as.matrix.H2OFrame

Convert an H2OFrame to a matrix

Given a set of logical vectors, are all of the values true?

Anomaly Detection via H2O Deep Learning Model

h2o.ascharacter

Convert H2O Data to Characters

Convert H2O Data to Factors

h2o.clusterIsUp

Determine if an H2O cluster is up or not

Compute the arc cosine of x

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".

Sorts H2OFrame by the columns specified. Returns a new H2OFrame, like dplyr::arrange.

Functions to convert between character representations and objects of class "Date" representing calendar dates.

Delete All H2O R Logs

h2o.clusterInfo

Print H2O cluster info

Correlation of columns.

Compute the cosine of x

as.data.frame.H2OFrame

Converts parsed H2O data into an R data frame

Convert H2O Data to Factors

h2o.confusionMatrix

Access H2O Confusion Matrices

Connect to a running H2O instance.

Apply on H2O Datasets

as.character.H2OFrame

Convert an H2OFrame to a String

Returns the Dimensions of an H2OFrame

h2o.clusterStatus

Return the status of the cluster

Retrieve the normalized coefficients

Return column names of an H2OFrame

Return the cumulative max over a column or across a row

Compute the hyperbolic cosine of x

h2o.createFrame

Data H2OFrame Creation in H2O

h2o.deepwater.available

Ask the H2O server whether a Deep Water model can be built (depends on availability of native backends) Returns True if a deep water model can be built, or False otherwise.

H2O Description of A Dataset

dimnames.H2OFrame

Column names of an H2OFrame

Given a set of logical vectors, is at least one of the values true?

Check H2OFrame columns for factors

Return the respective bias vector

Retrieve the AUC

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".

ceiling takes a single numeric argument x and returns a numeric vector containing the smallest integers not less than the corresponding elements of x.

Retrieve the Model Centers

h2o.cross_validation_fold_assignment

Retrieve the cross-validation fold assignment

h2o.cross_validation_holdout_predictions

Retrieve the cross-validation holdout predictions

h2o.deeplearning

Build a Deep Neural Network model using CPUs Builds a feed-forward multilayer artificial neural network on an H2OFrame

Build a Deep Learning model using multiple native GPU backends Builds a deep neural network on an H2OFrame containing various data sources

Combine H2O Datasets by Columns

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".

Retrieve the model coefficeints

h2o.download_pojo

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

Shannon entropy

Access H2O Gains/Lift Tables

Cut H2O Numeric Data to Factor

Convert Milliseconds to Day of Month in H2O Datasets

Compute the exponential function of x

Export an H2O Data Frame (H2OFrame) to a File or to a collection of Files.

h2o.find_threshold_by_max_metric

Find the threshold, give the max metric

floor takes a single numeric argument x and returns a numeric vector containing the largest integers not greater than the corresponding elements of x.

Get an R reference to an H2O model

h2o.getTimezone

Get the Time Zone on the H2O Cloud Returns a string

Builds gradient boosted classification trees and gradient boosted regression trees on a parsed data set.

Return the cumulative min over a column or across a row

Split H2O Dataset, Apply Function, and Return Results

h2o.deepfeatures

Feature Generation via H2O Deep Learning 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.columns_by_type

Obtain a list of columns that are specified by `coltype`

h2o.computeGram

Compute weighted gram matrix.

h2o.cross_validation_models

Retrieve the cross-validation models

Compute A Histogram

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.ischaracter

Check if character

h2o.cross_validation_predictions

Retrieve the cross-validation predictions

Conduct a lag 1 transform on a numeric H2OFrame column

Returns the number of rows and columns for an H2OFrame object.

Return the cumulative product over a column or across a row

Return the cumulative sum over a column or across a row

Convert Milliseconds to Day of Week in H2O Datasets

Compute DCT of an H2OFrame

h2o.interaction

Categorical Interaction Feature Creation in H2O

Check Client Mode Connection

Load H2O Model from HDFS or Local Disk

Compute the logarithm of x

Compute the log2 of x

h2o.getConnection

Retrieve an H2O Connection

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

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

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

Column names of an H2OFrame

h2o.downloadAllLogs

Download H2O Log Files to Disk

h2o.findSynonyms

Find synonyms using a word2vec model.

h2o.find_row_by_threshold

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

h2o.downloadCSV

Download H2O Data to Disk

h2o.download_mojo

Download the model in MOJO format.

Export a Model to HDFS

Convert Milliseconds to Hour of Day in H2O Datasets

H2O Apply Conditional Statement

Import Files into H2O

h2o.import_sql_select

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

h2o.filterNACols

Filter NA Columns

h2o.getFutureModel

Get future model

h2o.getGLMFullRegularizationPath

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

Generalized low rank decomposition of an H2O data frame.

Searches for matches to argument `pattern` within each element of a string column.

Retrieve the GINI Coefficcient

Fits a generalized linear model, specified by a response variable, a set of predictors, and a description of the error distribution.

H2O Grid Support

Group and Apply by Column

Log a message on the server-side logs

Remove Rows With NAs

Count of NAs per column

h2o.no_progress

Disable Progress Bar

Performs k-means clustering on an H2O dataset.

Kurtosis of a column

h2o.makeGLMModel

Set betas of an existing H2O GLM Model

Return the number of rows present in x.

Retrieve the R2 value

h2o.randomForest

Builds a Random Forest Model on an H2OFrame

Retrieves Root Mean Squared Error Value

Retrieve the Root Mean Squared Log Error

Produce a Vector of Random Uniform Numbers

Save an H2O Model Object to Disk

Skewness of a column

Split an H2O Data Set

h2o.make_metrics

Create Model Metrics from predicted and actual values in H2O

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

h2o.mean_per_class_error

Retrieve the mean per class error

Convert Milliseconds to Months in H2O Datasets

Check if factor

Check if numeric

Strip set from left

Retrieve the Mean Absolute Error Value

h2o.startLogging

Start Writing H2O R Logs

h2o.std_coef_plot

Plot Standardized Coefficient Magnitudes

trunc takes a single numeric argument x and returns a numeric vector containing the integers formed by truncating the values in x toward 0.

Value Matching in H2O

Returns the maxima of the input values.

Compute naive Bayes probabilities on an H2O dataset.

Initialize and Connect to H2O

h2o.insertMissingValues

Insert Missing Values into an H2OFrame

Retrieve the Log Loss Value

List Keys on an H2O Cluster

Column names of an H2OFrame

h2o.num_iterations

Retrieve the number of iterations.

h2o.num_valid_substrings

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

h2o.proj_archetypes

Convert Archetypes to Features from H2O GLRM Model

Quantiles of H2O Frames.

Get the types-per-column

Get h2o version

String Global Substitute

Return the Head or Tail of an H2O Dataset.

Print An H2OFrame

Return the product of all the values present in its arguments.

Remove All Objects on the H2O Cluster

Return the levels from the column requested column.

h2o.listTimezones

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

h2o.mean_residual_deviance

Retrieve the Mean Residual Deviance value

Retrieves Mean Squared Error Value

Delete Columns from an H2OFrame

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

Compute the sine of x

Summarizes the columns of an H2OFrame.

Singular value decomposition of an H2O data frame using the power method.

Compute the tangent of x

Compute the hyperbolic tangent of x

Which indices are TRUE?

Get the Within SS

plot.H2OTabulate

Plot an H2O Tabulate Heatmap

predict.H2OModel

Predict on an H2O Model

View H2O R Logs

H2O Data Parsing

Returns a vector containing the minimum and maximum of all the given arguments.

Returns the minima of the input values.

Compute msec since the Unix Epoch

h2o.networkTest

View Network Traffic Speed

Get the number of factor levels for this frame.

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".

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

Principal components analysis of an H2O data frame using the power method to calculate the singular value decomposition of the Gram matrix.

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".

Delete Objects In H2O

Scaling and Centering of an H2OFrame

h2o.scoreHistory

Retrieve Model Score History

Column names of an H2OFrame

Plot an H2O Model

Range of an H2O Column

Replicate Elements of Vectors or Lists into H2O

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".

Standard Deviation of a column of data.

Retrieve the standard deviations of principal components

h2o.import_sql_table

Import SQL Table into H2O

Basic Imputation of H2O Vectors

h2o.kfold_column

Produce a k-fold column vector.

Dump the stack into the JVM's stdout.

Combine H2O Datasets by Rows

h2o.reconstruct

Reconstruct Training Data via H2O GLRM Model

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

Compute the square root of x

h2o.stackedEnsemble

Build a stacked ensemble (aka. Super Learner) using the H2O base learning algorithms specified by the user.

Cross Tabulation and Table Creation in H2O

Tabulation between Two Columns of an H2OFrame

h2o.saveModelDetails

Save an H2O Model Details

Save an H2O Model Object as Mojo to Disk

h2o.show_progress

Enable Progress Bar

Shut Down H2O Instance

Retrieve the variable importance.

h2o.varimp_plot

Plot Variable Importances

Trains a word2vec model on a String column of an H2O data frame.

Convert Milliseconds to Years in H2O Datasets

Print method for H2OTable objects

Prostate Cancer Study

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

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".

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".

Set Levels of H2O Factor Column

h2o.setTimezone

Set the Time Zone on the H2O Cloud

String Substitute

Variance of a column or covariance of columns.

United States Congressional Voting Records 1984

Edgar Anderson's Iris Data

summary,H2OGrid-method

Format grid object in user-friendly way

Convert strings to uppercase

Transform words (or sequences of words) to vectors using a word2vec model.

Check if character

Check if factor

Display the structure of an H2OFrame object

Compute the log10 of x

Compute the log1p of x

Merge Two H2O Data Frames

H2O Model Metric Accessor Functions

predict_leaf_node_assignment.H2OModel

Predict the Leaf Node Assignment on an H2O Model

Print An H2OFrame

Use optional package

Muscular Actuations for Walking Subject

summary,H2OModel-method

Print the Model Summary

Return the number of columns present in x.

Get a parse setup back for the staged data.

h2o.partialPlot

Partial Dependence Plots

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

h2o.stopLogging

Stop Writing H2O R Logs

Display the structure of an H2OFrame object

Tokenize String

Convert strings to lowercase

Convert Milliseconds to Week of Week Year in H2O Datasets

Retrieve the respective weight matrix

Is H2O Frame object

Check if numeric

Shutdown H2O cloud after examples run

Strip set from right