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h2o (version 3.10.5.3)

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.packages('h2o')

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11,842

Version

3.10.5.3

License

Apache License (== 2.0)

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Repository

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

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Last Published

July 1st, 2017

Functions in h2o (3.10.5.3)

H2OModelMetrics-class

The H2OModelMetrics Object.

Logical or for H2OFrames

The H2OModel object.

H2OModelFuture-class

H2O Future Model

H2OClusteringModel-class

The H2OClusteringModel object.

H2OConnection-class

The H2OConnection class.

H2OFrame-Extract

Extract or Replace Parts of an H2OFrame Object

The H2OFrame class

S3 Group Generic Functions for H2O

Accessor Methods for H2OModel Object

Starting H2O For examples

dimnames.H2OFrame

Column names of an H2OFrame

H2O R Interface

Logical and for H2OFrames

Apply on H2O Datasets

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".

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

Convert H2O Data to Factors

Create H2OFrame

Compute the absolute value of x

Rename an H2O object.

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".

Check H2OFrame columns for factors

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

Delete All H2O R Logs

h2o.clusterInfo

Print H2O cluster info

as.matrix.H2OFrame

Convert an H2OFrame to a matrix

Convert H2O Data to Numeric

as.vector.H2OFrame

Convert an H2OFrame to a vector

Australia Coastal Data

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

h2o.ascharacter

Convert H2O Data to Characters

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".

as.character.H2OFrame

Convert an H2OFrame to a String

as.data.frame.H2OFrame

Converts parsed H2O data into an R data frame

Returns the column names of an H2OFrame

Returns the Dimensions of an H2OFrame

h2o.columns_by_type

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

h2o.computeGram

Compute weighted gram matrix.

Return the cumulative max over a column or across a row

Return the cumulative min over a column or across a row

Return the respective bias vector

h2o.clusterIsUp

Determine if an H2O cluster is up or not

h2o.clusterStatus

Return the status of the cluster

Compute the hyperbolic cosine of x

Return the cumulative product 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.

H2O Description of A Dataset

Compute the arc cosine of x

Anomaly Detection via H2O Deep Learning Model

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

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

h2o.createFrame

Data H2OFrame Creation in H2O

Cut H2O Numeric Data to Factor

Convert Milliseconds to Day of Month in H2O Datasets

h2o.download_mojo

Download the model in MOJO format.

h2o.filterNACols

Filter NA Columns

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.

h2o.getTimezone

Get the Time Zone on the H2O Cloud Returns a string

Get the types-per-column

Return the Head or Tail of an H2O Dataset.

Compute A Histogram

Dump the stack into the JVM's stdout.

Convert H2O Data to Factors

Convert H2O Data to Numerics

Retrieve the Model Centers STD

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.confusionMatrix

Access H2O Confusion Matrices

Connect to a running H2O instance.

Correlation of columns.

Compute the cosine of x

h2o.download_pojo

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

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

Export a Model to HDFS

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

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

h2o.cross_validation_models

Retrieve the cross-validation models

h2o.cross_validation_predictions

Retrieve the cross-validation predictions

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

H2O Grid Support

Basic Imputation of H2O Vectors

Retrieve the Model Centers

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

Return column names of an H2OFrame

h2o.cross_validation_fold_assignment

Retrieve the cross-validation fold assignment

h2o.getFutureModel

Get future model

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

h2o.downloadAllLogs

Download H2O Log Files to Disk

Convert Milliseconds to Day of Week in H2O Datasets

Compute DCT of an H2OFrame

Conduct a lag 1 transform on a numeric H2OFrame column

h2o.downloadCSV

Download H2O Data to Disk

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.

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

Shannon entropy

Compute the exponential function of x

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

Initialize and Connect to H2O

Check if numeric

h2o.kfold_column

Produce a k-fold column vector.

Load H2O Model from HDFS or Local Disk

Compute the logarithm of x

Value Matching in H2O

Returns the maxima of the input values.

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

Performs k-means clustering on an H2O dataset.

h2o.listTimezones

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

h2o.list_all_extensions

List all H2O registered extensions

Get an R reference to an H2O model

Group and Apply by Column

String Global Substitute

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".

Access H2O Gains/Lift Tables

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

Generalized low rank decomposition of an H2O data frame.

h2o.import_sql_select

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

Convert Milliseconds to Hour of Day in H2O Datasets

h2o.insertMissingValues

Insert Missing Values into an H2OFrame

h2o.interaction

Categorical Interaction Feature Creation in H2O

h2o.list_api_extensions

List registered API extensions

h2o.list_core_extensions

List registered core extensions

h2o.mean_per_class_error

Retrieve the mean per class error

h2o.networkTest

View Network Traffic Speed

Get the number of factor levels for this frame.

Compute the log2 of x

Log a message on the server-side logs

h2o.mean_residual_deviance

Retrieve the Mean Residual Deviance value

Strip set from left

Retrieve the Mean Absolute Error Value

Convert Milliseconds to Months in H2O Datasets

Retrieves Mean Squared Error Value

h2o.import_sql_table

Import SQL Table into H2O

h2o.ischaracter

Check if character

Check if factor

Compute the log10 of x

Compute the log1p of x

Retrieve the Log Loss Value

List Keys on an H2O Cluster

Returns the minima of the input values.

Remove Rows With NAs

Count of NAs per column

View H2O R Logs

H2O Data Parsing

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

h2o.cross_validation_holdout_predictions

Retrieve the cross-validation holdout predictions

Split H2O Dataset, Apply Function, and Return Results

h2o.deepfeatures

Feature Generation via H2O Deep Learning or DeepWater Model

Column names of an H2OFrame

Compute naive Bayes probabilities on an H2O dataset.

Column names of an H2OFrame

Get a parse setup back for the staged data.

Compute msec since the Unix Epoch

h2o.no_progress

Disable Progress Bar

Return the number of rows present in x.

h2o.performance

Model Performance Metrics in H2O

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

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".

Retrieve the R2 value

h2o.randomForest

Builds a Random Forest Model on an H2OFrame

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.

h2o.predict_json

H2O Prediction from R without having H2O running

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

Skewness of a column

Split an H2O Data Set

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

h2o.proj_archetypes

Convert Archetypes to Features from H2O GLRM Model

Quantiles of H2O Frames.

Retrieves Root Mean Squared Error Value

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

Retrieve the standard deviations of principal components

Set Levels of H2O Factor Column

h2o.setTimezone

Set the Time Zone on the H2O Cloud

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.

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

h2o.findSynonyms

Find synonyms using a word2vec model.

h2o.find_row_by_threshold

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

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

Retrieve the Root Mean Squared Log Error

h2o.partialPlot

Partial Dependence Plots

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

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.

Tokenize String

Convert strings to lowercase

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

Which indice contains the max value?

Which index contains the min value?

predict.H2OModel

Predict on an H2O Model

Summarizes the columns of an H2OFrame.

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

Cross Tabulation and Table Creation in H2O

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

Strip set from right

h2o.show_progress

Enable Progress Bar

Shut Down H2O Instance

String Substitute

Compute the hyperbolic tangent of x

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

h2o.varimp_plot

Plot Variable Importances

Convert Milliseconds to Week of Week Year in H2O Datasets

Builds a eXtreme Gradient Boosting model using the native XGBoost backend

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.

Plot an H2O Model

plot.H2OTabulate

Plot an H2O Tabulate Heatmap

h2o.getConnection

Retrieve an H2O Connection

Get h2o version

Retrieve the GINI Coefficcient

H2O Apply Conditional Statement

Import Files into H2O

Check Client Mode Connection

Kurtosis of a column

Return the levels from the column requested column.

h2o.makeGLMModel

Set betas of an existing H2O GLM Model

h2o.make_metrics

Create Model Metrics from predicted and actual values in H2O

predict_leaf_node_assignment.H2OModel

Predict the Leaf Node Assignment on an H2O Model

summary,H2OModel-method

Print the Model Summary

Use optional package

Convert Milliseconds to Years in H2O Datasets

United States Congressional Voting Records 1984

Check if numeric

Merge Two H2O Data Frames

H2O Model Metric Accessor Functions

Return the number of columns present in x.

h2o.num_iterations

Retrieve the number of iterations.

h2o.num_valid_substrings

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

Print An H2OFrame

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

Remove All Objects on the H2O Cluster

Delete Columns from an H2OFrame

h2o.saveModelDetails

Save an H2O Model Details

Save an H2O Model Object as Mojo to Disk

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.

h2o.startLogging

Start Writing H2O R Logs

h2o.std_coef_plot

Plot Standardized Coefficient Magnitudes

Tabulation between Two Columns of an H2OFrame

Print An H2OFrame

Print method for H2OTable objects

Column names of an H2OFrame

Display the structure of an H2OFrame object

summary,H2OGrid-method

Format grid object in user-friendly way

Produce a Vector of Random Uniform Numbers

Save an H2O Model Object to Disk

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

Compute the sine of x

h2o.stopLogging

Stop Writing H2O R Logs

Display the structure of an H2OFrame object

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 tangent of x

Convert strings to uppercase

Retrieve the respective weight matrix

Which indices are TRUE?

Check if factor

Is H2O Frame object

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".

Variance of a column or covariance of columns.

Retrieve the variable importance.

Get the Within SS

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

Edgar Anderson's Iris Data

Check if character

Prostate Cancer Study

Range of an H2O Column

Muscular Actuations for Walking Subject

Shutdown H2O cloud after examples run