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h2o (version 3.16.0.2)

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

8,061

Version

3.16.0.2

License

Apache License (== 2.0)

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Repository

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

Maintainer

Tom Kraljevic

Last Published

December 1st, 2017

Functions in h2o (3.16.0.2)

H2OClusteringModel-class

The H2OClusteringModel object.

S3 Group Generic Functions for H2O

The H2OModel object.

H2OFrame-Extract

Extract or Replace Parts of an H2OFrame Object

H2OAutoML-class

The H2OAutoML class

H2OModelFuture-class

H2O Future Model

The H2OFrame class

H2OModelMetrics-class

The H2OModelMetrics Object.

Logical and for H2OFrames

H2OConnection-class

The H2OConnection class.

Compute the arc cosine of x

Apply on H2O Datasets

as.character.H2OFrame

Convert an H2OFrame to a String

h2o.aggregated_frame

Retrieve an aggregated frame from the Aggregator model

as.data.frame.H2OFrame

Converts parsed H2O data into an R data frame

Create H2OFrame

Logical or for H2OFrames

as.matrix.H2OFrame

Convert an H2OFrame to a matrix

Starting H2O For examples

Australia Coastal Data

Returns the Dimensions of an H2OFrame

Returns the column names of an H2OFrame

dimnames.H2OFrame

Column names of an H2OFrame

h2o.ascharacter

Convert H2O Data to Characters

Builds an Aggregated Frame of an H2OFrame

Convert H2O Data to Factors

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

Convert H2O Data to Factors

Sorts H2OFrame by the columns specified. H2OFrame should not contain any String columns. Otherwise, an error will be thrown. To sort column c1 in descending order, do desc(c1). Returns a new H2OFrame, like dplyr::arrange.

Convert H2O Data to Numeric

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

as.vector.H2OFrame

Convert an H2OFrame to a vector

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

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

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".

Anomaly Detection via H2O Deep Learning Model

Return the coefficients that can be applied to the non-standardized data.

Retrieve the AUC

Correlation of columns.

Accessor Methods for H2OModel Object

Compute the cosine of x

Convert Milliseconds to Day of Week in H2O Datasets

H2O R Interface

Compute DCT of an H2OFrame

Compute the absolute value of x

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

Automatic Machine Learning

Check H2OFrame columns for factors

Convert H2O Data to Numerics

Delete All H2O R Logs

Retrieve the Model Centers STD

h2o.clusterInfo

Print H2O cluster info

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.cross_validation_fold_assignment

Retrieve the cross-validation fold assignment

h2o.columns_by_type

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

h2o.cross_validation_holdout_predictions

Retrieve the cross-validation holdout predictions

h2o.computeGram

Compute weighted gram matrix.

Return the cumulative product over a column or across a row

Return the cumulative max over a column or across a row

Return the cumulative min over a column or across a row

Return the cumulative sum over a column or across a row

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.

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

h2o.download_pojo

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

Rename an H2O object.

Shannon entropy

Cut H2O Numeric Data to Factor

Return coefficients fitted on the standardized data (requires standardize = True, which is on by default). These coefficients can be used to evaluate variable importance.

Convert Milliseconds to Day of Month in H2O Datasets

Return column names of an H2OFrame

H2O Description of A Dataset

Compute the hyperbolic cosine of x

Conduct a lag 1 transform on a numeric H2OFrame column

h2o.createFrame

Data H2OFrame Creation in H2O

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

Column names of an H2OFrame

h2o.getConnection

Retrieve an H2O Connection

h2o.downloadCSV

Download H2O Data to Disk

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

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 the types-per-column

Return the respective bias vector

Get h2o version

h2o.clusterIsUp

Determine if an H2O cluster is up or not

h2o.clusterStatus

Return the status of the cluster

H2O Grid Support

h2o.confusionMatrix

Access H2O Confusion Matrices

Group and Apply by Column

h2o.cross_validation_models

Retrieve the cross-validation models

Connect to a running H2O instance.

h2o.cross_validation_predictions

Retrieve the cross-validation predictions

Export a Model to HDFS

Split H2O Dataset, Apply Function, and Return Results

h2o.decryptionSetup

Setup a Decryption Tool

h2o.find_row_by_threshold

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

Compute a pairwise distance measure between all rows of two numeric H2OFrames.

h2o.downloadAllLogs

Download H2O Log Files to Disk

h2o.deepfeatures

Feature Generation via H2O Deep Learning or DeepWater Model

h2o.deeplearning

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

Access H2O Gains/Lift Tables

Compute the exponential function of x

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

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

h2o.getFutureModel

Get future model

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

h2o.getGLMFullRegularizationPath

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

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

Get an R reference to an H2O model

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

h2o.getTimezone

Get the Time Zone on the H2O Cloud Returns a string

Convert Milliseconds to Hour of Day in H2O Datasets

h2o.import_sql_select

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

Compute A Histogram

Check if factor

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".

Import Files into H2O

Check if numeric

H2O Apply Conditional Statement

Compute the log1p of x

h2o.interaction

Categorical Interaction Feature Creation in H2O

Compute the log2 of x

Check Client Mode Connection

Retrieve the Mean Absolute Error Value

h2o.find_threshold_by_max_metric

Find the threshold, give the max metric

h2o.makeGLMModel

Set betas of an existing H2O GLM Model

View H2O R Logs

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

Column names of an H2OFrame

h2o.proj_archetypes

Convert Archetypes to Features from H2O GLRM Model

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

h2o.num_valid_substrings

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

h2o.ischaracter

Check if character

Performs k-means clustering on an H2O dataset.

String Global Substitute

Kurtosis of a column

Return the Head or Tail of an H2O Dataset.

h2o.import_sql_table

Import SQL Table into H2O

Basic Imputation of H2O Vectors

Return the levels from the column requested column.

Remove All Objects on the H2O Cluster

Log a message on the server-side logs

Retrieve the Log Loss Value

Retrieve the Root Mean Squared Log Error

h2o.make_metrics

Create Model Metrics from predicted and actual values in H2O

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

Standard Deviation of a column of data.

h2o.scoreHistory

Retrieve Model Score History

Split an H2O Data Set

Compute the square root of x

h2o.download_mojo

Download the model in MOJO format.

Compute the tangent of x

h2o.filterNACols

Filter NA Columns

Compute the hyperbolic tangent of x

h2o.findSynonyms

Find synonyms using a word2vec model.

Convert strings to uppercase

h2o.kfold_column

Produce a k-fold column vector.

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

Dump the stack into the JVM's stdout.

h2o.list_core_extensions

List registered core extensions

Load H2O Model from HDFS or Local Disk

Merge Two H2O Data Frames

Retrieve the GINI Coefficcient

Count of NAs per column

Compute naive Bayes probabilities on an H2O dataset.

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

Get the number of factor levels for this frame.

Generalized low rank decomposition of an H2O data frame.

h2o.no_progress

Disable Progress Bar

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

H2O Data Parsing

Initialize and Connect to H2O

Get a parse setup back for the staged data.

Value Matching in H2O

Combine H2O Datasets by Rows

h2o.reconstruct

Reconstruct Training Data via H2O GLRM Model

H2O Model Metric Accessor Functions

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".

Returns the minima of the input values.

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".

Return the number of columns present in x.

Retrieve the standard deviations of principal components

Set Levels of H2O Factor Column

h2o.networkTest

View Network Traffic Speed

h2o.listTimezones

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

h2o.mean_per_class_error

Retrieve the mean per class error

List Keys on an H2O Cluster

Strip set from left

h2o.mean_residual_deviance

Retrieve the Mean Residual Deviance value

Compute the sine of x

Retrieves Mean Squared Error Value

Skewness of a column

Remove Rows With NAs

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".

Return the number of rows present in x.

h2o.predict_json

H2O Prediction from R without having H2O running

Convert Milliseconds to Week of Week Year in H2O Datasets

Print An H2OFrame

Retrieve the respective weight matrix

Pivot the frame designated by the three columns: index, column, and value. Index and column should be of type enum, int, or time. For cases of multiple indexes for a column label, the aggregation method is to pick the first occurrence in the data frame

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

Check if character

h2o.randomForest

Builds a Random Forest Model on an H2OFrame

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

h2o.insertMissingValues

Insert Missing Values into an H2OFrame

Save an H2O Model Object to Disk

h2o.list_all_extensions

List all H2O registered extensions

h2o.saveModelDetails

Save an H2O Model Details

h2o.list_api_extensions

List registered API extensions

Shut Down H2O Instance

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".

Compute the logarithm of x

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".

Compute the log10 of x

Returns the maxima of the input values.

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

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

h2o.stackedEnsemble

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

Compute msec since the Unix Epoch

h2o.startLogging

Start Writing H2O R Logs

Convert Milliseconds to Months in H2O Datasets

Retrieve the R2 value

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".

Strip set from right

h2o.num_iterations

Retrieve the number of iterations.

h2o.partialPlot

Partial Dependence Plots

Produce a Vector of Random Uniform Numbers

h2o.performance

Model Performance Metrics in H2O

h2o.setTimezone

Set the Time Zone on the H2O Cloud

h2o.show_progress

Enable Progress Bar

Delete Columns from an H2OFrame

Display the structure of an H2OFrame object

Replicate Elements of Vectors or Lists into H2O

Compute element-wise string distances between two H2OFrames. Both frames need to have the same shape (N x M) and only contain string/factor columns. Return a matrix (H2OFrame) of shape N x M.

Delete Objects In H2O

Cross Tabulation and Table Creation in H2O

Quantiles of H2O Frames.

Tabulation between Two Columns of an H2OFrame

Retrieves Root Mean Squared Error Value

Summarizes the columns of an H2OFrame.

Save an H2O Model Object as Mojo to Disk

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

Scaling and Centering of an H2OFrame

Check if factor

Variance of a column or covariance of columns.

predict.H2OModel

Predict on an H2O Model

predict_leaf_node_assignment.H2OModel

Predict the Leaf Node Assignment on an H2O Model

h2o.xgboost.available

Ask the H2O server whether a XGBoost model can be built (depends on availability of native backend) Returns True if a XGBoost model can be built, or False otherwise.

summary,H2OModel-method

Print the Model Summary

Convert Milliseconds to Years in H2O Datasets

Use optional package

Prostate Cancer Study

h2o.std_coef_plot

Plot Standardized Coefficient Magnitudes

Range of an H2O Column

h2o.stopLogging

Stop Writing H2O R Logs

Convert strings to lowercase

String Substitute

Converts a given word2vec model into H2OFrame. The frame represents learned word embeddings

Which indices are TRUE?

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

Which indice contains the max value?

Retrieve the variable importance.

United States Congressional Voting Records 1984

h2o.varimp_plot

Plot Variable Importances

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

Tokenize String

Builds a eXtreme Gradient Boosting model using the native XGBoost backend

Which index contains the min value?

plot.H2OTabulate

Plot an H2O Tabulate Heatmap

Get the Within SS

Is H2O Frame object

predict.H2OAutoML

Predict on an AutoML object

Check if numeric

Muscular Actuations for Walking Subject

Print An H2OFrame

Edgar Anderson's Iris Data

Shutdown H2O cloud after examples run

Column names of an H2OFrame

Print method for H2OTable objects

Plot an H2O Model

summary,H2OGrid-method

Format grid object in user-friendly way

Display the structure of an H2OFrame object