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h2o (version 3.30.0.1)

R Interface for the 'H2O' Scalable Machine Learning Platform

Description

R interface for 'H2O', the scalable open source machine learning platform that offers parallelized implementations of many supervised and unsupervised machine learning algorithms such as Generalized Linear Models, Gradient Boosting Machines (including XGBoost), Random Forests, Deep Neural Networks (Deep Learning), Stacked Ensembles, Naive Bayes, Cox Proportional Hazards, K-Means, PCA, Word2Vec, as well as a fully automatic machine learning algorithm (AutoML).

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Install

install.packages('h2o')

Monthly Downloads

7,966

Version

3.30.0.1

License

Apache License (== 2.0)

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Repository

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

Maintainer

Erin LeDell

Last Published

April 9th, 2020

Functions in h2o (3.30.0.1)

The H2ONode class.

H2OLeafNode-class

The H2OLeafNode class.

Helper Collapse Function

H2OSegmentModelsFuture-class

H2O Future Segment Models

Apply on H2O Datasets

as.character.H2OFrame

Convert an H2OFrame to a String

H2OCoxPHModelSummary-class

The H2OCoxPHModelSummary object.

H2OSplitNode-class

The H2OSplitNode class.

H2OSegmentModels-class

H2O Segment Models

.h2o.__ALL_CAPABILITIES

Capabilities endpoints

The H2OTree class.

Returns the column names of an H2OFrame

as.data.frame.H2OFrame

Converts parsed H2O data into an R data frame

as.data.frame.H2OSegmentModels

Converts a collection of Segment Models to a data.frame

Virtual Keyed class

Returns the Dimensions of an H2OFrame

Removal Endpoints

H2OModelFuture-class

H2O Future Model

H2OModelMetrics-class

The H2OModelMetrics Object.

Inspect/Summary Endpoints

The H2OModel object.

.h2o.__MODEL_BUILDERS

Model Builder Endpoint Generator

Accessor Methods for H2OModel Object

Logical or for H2OFrames

as.matrix.H2OFrame

Convert an H2OFrame to a matrix

Starting H2O For examples

.h2o.__REST_API_VERSION

H2O Package Constants

Logical and for H2OFrames

Retrieve the AUCPR (Area Under Precision Recall Curve)

dimnames.H2OFrame

Column names of an H2OFrame

Automatic Machine Learning

Perform a low-level HTTP POST operation on an H2O instance

.h2o.__CREATE_FRAME

H2OFrame Manipulation

TODO: No objects in this file are being used. Either remove file or use objects.

Used to verify data, x, y and turn into the appropriate things

.h2o.__PARSE_SETUP

Parse Endpoints

Convert H2O Data to Numeric

feature_frequencies.H2OModel

Retrieve the number of occurrences of each feature for given observations Available for GBM, Random Forest and Isolation Forest models.

h2o.aggregated_frame

Retrieve an aggregated frame from an Aggregator model

Retrieve the Akaike information criterion (AIC) value

Create H2OFrame

Convert H2O Data to Factors

as.vector.H2OFrame

Convert an H2OFrame to a vector

Australia Coastal Data

.h2o.__DECRYPTION_SETUP

Decryption Endpoints

.h2o.__EXPORT_FILES

Export Files Endpoint Generator

Rename an H2O object.

Just like doRawPOST but fills in the default h2oRestApiVersion if none is provided

Get the between cluster sum of squares

Return the respective bias vector

Retrieve the AUC

Build an Aggregated Frame

Administrative Endpoints

.h2o.__checkConnectionHealth

Check H2O Server Health

Retrieve the Model Centers

Import/Export Endpoints

.h2o.__SEGMENT_MODELS_BUILDERS

Segment Models Builder Endpoint Generator

Just like doRawGET but fills in the default h2oRestApiVersion if none is provided

.h2o.is_progress

Check if Progress Bar is Enabled

.h2o.doSafePOST

Perform a safe (i.e. error-checked) HTTP POST request to an H2O cluster.

.h2o.__LOGANDECHO

Log and Echo Endpoint

Perform a low-level HTTP GET operation on an H2O instance

generate_col_ind

CHeck to see if the column names/indices entered is valid for the dataframe given. This is an internal function

Perform a safe (i.e. error-checked) HTTP GET request to an H2O cluster.

Access H2O Gains/Lift Tables

h2o.clusterInfo

Print H2O cluster info

h2o.createFrame

Data H2OFrame Creation in H2O

Delete All H2O R Logs

The H2O Package Environment

get_seed.H2OModel

Get the seed from H2OModel which was used during training. If a user does not set the seed parameter before training, the seed is autogenerated. It returns seed as the string if the value is bigger than the integer. For example, an autogenerated seed is always long so that the seed in R is a string.

Return the cumulative sum over a column or across a row

h2o.cross_validation_fold_assignment

Retrieve the cross-validation fold assignment

Cut H2O Numeric Data to Factor

.skip_if_not_developer

H2O <-> R Communication and Utility Methods

.h2o.__W2V_SYNONYMS

Word2Vec Endpoints

h2o.download_pojo

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

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

Export a Model to HDFS

Conduct a lag 1 transform on a numeric H2OFrame column

H2O R Interface

Take a single numeric argument and return a numeric vector with the largest integers

h2o.HGLMMetrics

Retrieve HGLM ModelMetrics

h2o.getGLMFullRegularizationPath

Extract full regularization path from a GLM model

Compute the absolute value of x

Anomaly Detection via H2O Deep Learning Model

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

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

Compute the arc cosine of x

Rapids Endpoint

.h2o.primitives

Map of operations known to H2O

Retrieve the Model Centers STD

h2o.centroid_stats

Retrieve centroid statistics

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

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

Return column names of an H2OFrame

Convert between character representations and objects of Date class

Locate a file given the pattern <bucket>/<path/to/file> e.g. h2o:::.h2o.locate("smalldata/iris/iris22.csv") returns the absolute path to iris22.csv

h2o.columns_by_type

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

h2o.genericModel

Imports a model under given path, creating a Generic model with it.

h2o.cross_validation_holdout_predictions

Retrieve the cross-validation holdout predictions

h2o.ascharacter

Convert H2O Data to Characters

Check Client Mode Connection

h2o.get_leaderboard

Retrieve the leaderboard from the AutoML instance.

Combine H2O Datasets by Columns

h2o.import_sql_select

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

h2o.get_ntrees_actual

Retrieve actual number of trees for tree algorithms

h2o.cluster_sizes

Retrieve the cluster sizes

h2o.import_sql_table

Import SQL Table into H2O

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

Take a single numeric argument and return a numeric vector with the smallest integers

Sorts an H2O frame by columns

Convert H2O Data to Factors

h2o.cross_validation_models

Retrieve the cross-validation models

h2o.clusterIsUp

Determine if an H2O cluster is up or not

Return the cumulative min over a column or across a row

H2O Description of A Dataset

Check H2OFrame columns for factors

H2O Grid Support

Compute the hyperbolic cosine of x

Convert H2O Data to Numerics

Trains a Cox Proportional Hazards Model (CoxPH) on an H2O dataset

Compute the cosine of x

Return the cumulative product over a column or across a row

Correlation of columns.

h2o.downloadAllLogs

Download H2O Log Files to Disk

h2o.clusterStatus

Return the status of the cluster

h2o.cross_validation_predictions

Retrieve the cross-validation predictions

Return the cumulative max over a column or across a row

h2o.confusionMatrix

Access H2O Confusion Matrices

h2o.list_api_extensions

List registered API extensions

h2o.list_core_extensions

List registered core extensions

Compute DCT of an H2OFrame

Shannon entropy

h2o.downloadCSV

Download H2O Data to Disk

h2o.computeGram

Compute weighted gram matrix.

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

h2o.hit_ratio_table

Retrieve the Hit Ratios

h2o.get_segment_models

Retrieves an instance of '>H2OSegmentModels for a given id.

h2o.deepfeatures

Feature Generation via H2O Deep Learning

Quantiles of H2O Frames.

h2o.decryptionSetup

Setup a Decryption Tool

Connect to a running H2O instance.

h2o.filterNACols

Filter NA Columns

Split H2O Dataset, Apply Function, and Return Results

h2o.make_metrics

Create Model Metrics from predicted and actual values in H2O

Return list of jobs performed by the H2O cluster

Value Matching in H2O

h2o.download_model

Download the model in binary format. The owner of the file saved is the user by which python session was executed.

Convert Milliseconds to Day of Week in H2O Datasets

Convert Milliseconds to Day of Month in H2O Datasets

Fit a General Additive Model

Return the Head or Tail of an H2O Dataset.

h2o.deeplearning

Build a Deep Neural Network model using CPUs

h2o.mean_residual_deviance

Retrieve the Mean Residual Deviance value

Loads previously saved grid with all it's models from the same folder

Basic Imputation of H2O Vectors

Column names of an H2OFrame

h2o.findSynonyms

Find synonyms using a word2vec model.

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

Get an R reference to an H2O model

h2o.getModelTree

Fetchces a single tree of a H2O model. This function is intended to be used on Gradient Boosting Machine models or Distributed Random Forest models.

Imports a generic model into H2O. Such model can be used then used for scoring and obtaining additional information about the model. The imported model has to be supported by H2O.

Fit a generalized linear model

Generalized low rank decomposition of an H2O data frame

h2o.download_mojo

Download the model in MOJO format.

Build gradient boosted classification or regression trees

Get h2o version

H2O Apply Conditional Statement

h2o.isolationForest

Trains an Isolation Forest model

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

Compute the exponential function of x

Import Files into H2O

h2o.mojo_predict_df

H2O Prediction from R without having H2O running

Performs k-means clustering on an H2O dataset

Convert Milliseconds to Hour of Day in H2O Datasets

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

Retrieve the GINI Coefficcient

Converts a frame to key-value representation while optionally skipping NA values. Inverse operation to h2o.pivot.

h2o.getConnection

Retrieve an H2O Connection

Merge Two H2O Data Frames

Search for matches to an argument pattern

Method on Keyed objects allowing to obtain their key.

Check if numeric

Compute A Histogram

Get an R object that is a subclass of '>H2OAutoML

h2o.kfold_column

Produce a k-fold column vector.

h2o.find_row_by_threshold

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

Dump the stack into the JVM's stdout.

h2o.partialPlot

Partial Dependence Plots

h2o.find_threshold_by_max_metric

Find the threshold, give the max metric

h2o.ischaracter

Check if character

Initialize and Connect to H2O

List Keys on an H2O Cluster

h2o.std_coef_plot

Plot Standardized Coefficient Magnitudes

Get the types-per-column

h2o.getTimezone

Get the Time Zone on the H2O cluster Returns a string

Retrieve the Log Loss Value

Print An H2OFrame

Group and Apply by Column

Retrieves Mean Squared Error Value

Compute the log2 of x

Return the number of columns present in x.

h2o.networkTest

View Network Traffic Speed

Delete Columns from an H2OFrame

Remove All Objects on the H2O Cluster

Remove Rows With NAs

Returns the maxima of the input values.

h2o.performance

Model Performance Metrics in H2O

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

Count of NAs per column

Return the number of rows present in x.

Check if factor

h2o.residual_deviance

Retrieve the residual deviance

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

h2o.num_iterations

Retrieve the number of iterations.

Compute naive Bayes probabilities on an H2O dataset.

Retrieve the null degrees of freedom

h2o.randomForest

Build a Random Forest model

String Global Substitute

Kurtosis of a column

Return the levels from the column requested column.

h2o.startLogging

Start Writing H2O R Logs

Log a message on the server-side logs

Saves an existing Grid of models into a given folder.

Retrieves Root Mean Squared Error Value

Delete Objects In H2O

h2o.residual_dof

Retrieve the residual degrees of freedom

h2o.show_progress

Enable Progress Bar

Retrieve the Root Mean Squared Log Error

Load H2O Model from HDFS or Local Disk

h2o.import_mojo

Imports a MOJO under given path, creating a Generic model with it.

h2o.import_hive_table

Import Hive Table into H2O

h2o.makeGLMModel

Set betas of an existing H2O GLM Model

h2o.num_valid_substrings

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

h2o.set_s3_credentials

Creates a new Amazon S3 client internally with specified credentials.

Produce a Vector of Random Uniform Numbers

Compute the hyperbolic tangent of x

h2o.insertMissingValues

Insert Missing Values into an H2OFrame

h2o.interaction

Categorical Interaction Feature Creation in H2O

Strip set from left

Compute the logarithm of x

h2o.listTimezones

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

h2o.list_all_extensions

List all H2O registered extensions

Compute the log10 of x

h2o.mean_per_class_error

Retrieve the mean per class error

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

Compute the log1p of x

Retrieve the Mean Absolute Error Value

Compute msec since the Unix Epoch

h2o.stopLogging

Stop Writing H2O R Logs

h2o.mojo_predict_csv

H2O Prediction from R without having H2O running

Shut Down H2O Instance

Display the structure of an H2OFrame object

Use H2O Transformation model and apply the underlying transformation

h2o.setTimezone

Set the Time Zone on the H2O cluster

Convert Milliseconds to Months in H2O Datasets

Column names of an H2OFrame

Standard Deviation of a column of data.

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

Summarizes the columns of an H2OFrame.

h2o.no_progress

Disable Progress Bar

H2O Data Parsing

Replicate Elements of Vectors or Lists into H2O

Returns the minima of the input values.

Get the number of factor levels for this frame.

H2O Model Metric Accessor Functions

Convert Milliseconds to Week of Week Year in H2O Datasets

h2o.null_deviance

Retrieve the null deviance

h2o.proj_archetypes

Convert Archetypes to Features from H2O GLRM Model

Principal component analysis of an H2O data frame

Is H2O Frame object

Edgar Anderson's Iris Data

h2o.target_encode_apply

Apply Target Encoding Map to Frame

Trains a Support Vector Machine model on an H2O dataset

View H2O R Logs

h2o.target_encode_create

Create Target Encoding Map

Get a parse setup back for the staged data.

Predict on an H2O Model

Convert strings to lowercase

Strip set from right

Retrieve the R2 value

h2o.rank_within_group_by

This function will add a new column rank where the ranking is produced as follows: 1. sorts the H2OFrame by columns sorted in by columns specified in group_by_cols and sort_cols in the directions specified by the ascending for the sort_cols. The sort directions for the group_by_cols are ascending only. 2. A new rank column is added to the frame which will contain a rank assignment performed next. The user can choose to assign a name to this new column. The default name is New_Rank_column. 3. For each groupby groups, a rank is assigned to the row starting from 1, 2, ... to the end of that group. 4. If sort_cols_sorted is TRUE, a final sort on the frame will be performed frame according to the sort_cols and the sort directions in ascending. If sort_cols_sorted is FALSE (by default), the frame from step 3 will be returned as is with no extra sort. This may provide a small speedup if desired.

h2o.predict_json

H2O Prediction from R without having H2O running

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

h2o.reconstruct

Reconstruct Training Data via H2O GLRM Model

staged_predict_proba.H2OModel

Predict class probabilities at each stage of an H2O Model

h2o.target_encode_fit

Deprecated API. Please use h2o.targetencoder model instead.

Combine H2O Datasets by Rows

Save an H2O Model Object as Mojo to Disk

h2o.upload_mojo

Imports a MOJO from a local filesystem, creating a Generic model with it.

h2o.transform_word2vec

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

h2o.upload_model

Upload a binary model from the provided local path to the H2O cluster. (H2O model can be saved in a binary form either by saveModel() or by download_model() function.)

Retrieve per-variable split information for a given Isolation Forest model. Output will include: - count - The number of times a variable was used to make a split. - aggregated_split_ratios - The split ratio is defined as "abs(#left_observations - #right_observations) / #before_split". Even splits (#left_observations approx the same as #right_observations) contribute less to the total aggregated split ratio value for the given feature; highly imbalanced splits (eg. #left_observations >> #right_observations) contribute more. - aggregated_split_depths - The sum of all depths of a variable used to make a split. (If a variable is used on level N of a tree, then it contributes with N to the total aggregate.)

h2o.scoreHistory

Retrieve Model Score History

Variance of a column or covariance of columns.

Check if character

Retrieve the standard deviations of principal components

Scaling and Centering of an H2OFrame

Set Levels of H2O Factor Column

Compute element-wise string distances between two H2OFrames

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

Cross Tabulation and Table Creation in H2O

Save an H2O Model Object to Disk

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

h2o.saveModelDetails

Save an H2O Model Details

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

Skewness of a column

Which indices are TRUE?

Compute the sine of x

Build an eXtreme Gradient Boosting model

Split an H2O Data Set

Print method for H2OTable objects

Check if factor

h2o.xgboost.available

Determines whether an XGBoost model can be built

Display the structure of an H2OFrame object

predict_leaf_node_assignment.H2OModel

Predict the Leaf Node Assignment on an H2O Model

Print An H2OFrame

plot.H2OTabulate

Plot an H2O Tabulate Heatmap

String Substitute

h2o.train_segments

H2O Segmented-Data Bulk Model Training

Convert a word2vec model into an H2OFrame

h2o.transform,H2OWordEmbeddingModel-method

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

predict.H2OAutoML

Predict on an AutoML object

Tokenize String

h2o.varimp_plot

Plot Variable Importances

h2o.transform,H2OTargetEncoderModel-method

Applies target encoding to a given dataset

Tabulation between Two Columns of an H2OFrame

h2o.stackedEnsemble

Builds a Stacked Ensemble

Compute the square root of x

summary,H2OGrid-method

Format grid object in user-friendly way

summary,H2OCoxPHModel-method

Summary method for H2OCoxPHModel objects

h2o.target_encode_transform

Deprecated API. Please use h2o.targetencoder model instead. Transform Frame by Target Encoding Map

Which indice contains the max value?

Compute the tangent of x

Truncate values in x toward 0

Convert Milliseconds to Years in H2O Datasets

United States Congressional Voting Records 1984

Check if numeric

Range of an H2O Column

Retrieve the respective weight matrix

h2o.targetencoder

Transformation of a categorical variable with a mean value of the target variable

Convert strings to uppercase

Retrieve the variable importance.

Get the total sum of squares.

h2o.tot_withinss

Get the total within cluster sum of squares.

Column names of an H2OFrame

Get the Within SS

Which index contains the min value?

Scaling and Centering of an H2OFrame

length,H2OTree-method

Overrides the behavior of length() function on H2OTree class. Returns number of nodes in an H2OTree

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

summary,H2OModel-method

Print the Model Summary

Muscular Actuations for Walking Subject

Plot an H2O Model

Use optional package

predict_contributions.H2OModel

Predict feature contributions - SHAP values on an H2O Model (only GBM and XGBoost models).

predict.H2OModel

Predict on an H2O Model

Shutdown H2O cluster after examples run

Prostate Cancer Study

H2OCoxPHModel-class

The H2OCoxPHModel object.

S3 Group Generic Functions for H2O

H2OClusteringModel-class

The H2OClusteringModel object.

H2OAutoML-class

The H2OAutoML class

H2OConnection-class

The H2OConnection class.

The H2OFrame class

H2OFrame-Extract

Extract or Replace Parts of an H2OFrame Object

.h2o.__MODEL_METRICS

Model Metrics Endpoint

H2OConnectionMutableState

The H2OConnectionMutableState class