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h2o (version 3.30.1.3)

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 (GLM), Gradient Boosting Machines (including XGBoost), Random Forests, Deep Neural Networks (Deep Learning), Stacked Ensembles, Naive Bayes, Generalized Additive Models (GAM), Cox Proportional Hazards, K-Means, PCA, Word2Vec, as well as a fully automatic machine learning algorithm (H2O AutoML).

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install.packages('h2o')

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9,346

Version

3.30.1.3

License

Apache License (== 2.0)

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Repository

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

Maintainer

Erin LeDell

Last Published

September 30th, 2020

Functions in h2o (3.30.1.3)

The H2ONode class.

H2OSegmentModels-class

H2O Segment Models

H2OConnection-class

The H2OConnection class.

H2OConnectionMutableState

The H2OConnectionMutableState class

H2OLeafNode-class

The H2OLeafNode class.

Create H2OFrame

Convert H2O Data to Factors

Helper Collapse Function

.skip_if_not_developer

H2O <-> R Communication and Utility Methods

.h2o.__ALL_CAPABILITIES

Capabilities endpoints

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

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.

The H2OModel object.

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

Check H2OFrame columns for factors

H2O R Interface

Logical or for H2OFrames

Retrieve the AUC

Accessor Methods for H2OModel Object

Retrieve the AUCPR (Area Under Precision Recall Curve)

dimnames.H2OFrame

Column names of an H2OFrame

Return column names of an H2OFrame

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`

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

h2o.cross_validation_holdout_predictions

Retrieve the cross-validation holdout predictions

h2o.downloadAllLogs

Download H2O Log Files to Disk

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

Inspect/Summary Endpoints

Import/Export Endpoints

h2o.downloadCSV

Download H2O Data to Disk

h2o.download_model

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

.h2o.__checkConnectionHealth

Check H2O Server Health

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

.h2o.perfect_auc

Internal function that calculates a precise AUC from given probabilities and actual responses.

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

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

h2o.genericModel

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

h2o.getConnection

Retrieve an H2O Connection

Get h2o version

Build an Aggregated Frame

H2OAutoML-class

The H2OAutoML class

Retrieve the Akaike information criterion (AIC) value

H2OClusteringModel-class

The H2OClusteringModel object.

Sorts an H2O frame by columns

Convert between character representations and objects of Date class

as.vector.H2OFrame

Convert an H2OFrame to a vector

Australia Coastal Data

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

h2o.clusterIsUp

Determine if an H2O cluster is up or not

h2o.clusterInfo

Print H2O cluster info

h2o.computeGram

Compute weighted gram matrix.

h2o.kolmogorov_smirnov

Kolmogorov-Smirnov metric for binomial models

Return the cumulative max over a column or across a row

h2o.confusionMatrix

Access H2O Confusion Matrices

Kurtosis of a column

h2o.list_core_extensions

List registered core extensions

Return list of jobs performed by the H2O cluster

Return the cumulative min over a column or across a row

H2OFrame-Extract

Extract or Replace Parts of an H2OFrame Object

h2o.deepfeatures

Feature Generation via H2O Deep Learning

h2o.deeplearning

Build a Deep Neural Network model using CPUs

Log a message on the server-side logs

.h2o.__SEGMENT_MODELS_BUILDERS

Segment Models Builder Endpoint Generator

.h2o.__MODEL_BUILDERS

Model Builder Endpoint Generator

.h2o.doSafePOST

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

h2o.download_pojo

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

h2o.find_row_by_threshold

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

h2o.download_mojo

Download the model in MOJO format.

h2o.find_threshold_by_max_metric

Find the threshold, give the max metric

.h2o.__W2V_SYNONYMS

Word2Vec Endpoints

.h2o.is_progress

Check if Progress Bar is Enabled

Retrieve the Log Loss Value

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

Convert H2O Data to Numerics

Compute the absolute value of x

h2o.HGLMMetrics

Retrieve HGLM ModelMetrics

Rename an H2O object.

The H2OFrame class

S3 Group Generic Functions for H2O

h2o.null_deviance

Retrieve the null deviance

Return the number of columns present in x.

h2o.performance

Model Performance Metrics in H2O

Retrieve the null degrees of freedom

H2OSegmentModelsFuture-class

H2O Future Segment Models

H2OSplitNode-class

The H2OSplitNode class.

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

Retrieve the Root Mean Squared Log Error

Save an H2O Model Object to Disk

Saves an existing Grid of models into a given folder.

h2o.show_progress

Enable Progress Bar

Return the respective bias vector

as.data.frame.H2OFrame

Converts parsed H2O data into an R data frame

Shut Down H2O Instance

.h2o.__MODEL_METRICS

Model Metrics Endpoint

.h2o.__DECRYPTION_SETUP

Decryption Endpoints

as.data.frame.H2OSegmentModels

Converts a collection of Segment Models to a data.frame

Compute the cosine of x

h2o.ascharacter

Convert H2O Data to Characters

.h2o.__CREATE_FRAME

H2OFrame Manipulation

.h2o.primitives

Map of operations known to H2O

The H2O Package Environment

Convert H2O Data to Factors

.h2o.__PARSE_SETUP

Parse Endpoints

h2o.getGLMFullRegularizationPath

Extract full regularization path from a GLM model

Retrieve the GINI Coefficcient

Return the Head or Tail of an H2O Dataset.

h2o.get_segment_models

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

The H2OTree class.

h2o.std_coef_plot

Plot Standardized Coefficient Magnitudes

Tabulation between Two Columns of an H2OFrame

h2o.startLogging

Start Writing H2O R Logs

Virtual Keyed class

Compute the hyperbolic cosine of x

Basic Imputation of H2O Vectors

Compute A Histogram

Initialize and Connect to H2O

Compute the tangent of x

Combine H2O Datasets by Columns

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

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

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

Convert Milliseconds to Day of Month in H2O Datasets

Compute the exponential function of x

Cut H2O Numeric Data to Factor

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

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

h2o.isolationForest

Trains an Isolation Forest model

Apply on H2O Datasets

Check if numeric

Compute the logarithm of x

h2o.createFrame

Data H2OFrame Creation in H2O

h2o.findSynonyms

Find synonyms using a word2vec model.

Generalized low rank decomposition of an H2O data frame

h2o.filterNACols

Filter NA Columns

Fit a generalized linear model

Compute the log10 of x

Strip set from left

List Keys on an H2O Cluster

H2OCoxPHModelSummary-class

The H2OCoxPHModelSummary object.

H2OCoxPHModel-class

The H2OCoxPHModel object.

as.character.H2OFrame

Convert an H2OFrame to a String

H2O Apply Conditional Statement

as.matrix.H2OFrame

Convert an H2OFrame to a matrix

H2OModelFuture-class

H2O Future Model

Import Files into H2O

h2o.varimp_plot

Plot Variable Importances

h2o.tot_withinss

Get the total within cluster sum of squares.

Convert H2O Data to Numeric

h2o.insertMissingValues

Insert Missing Values into an H2OFrame

h2o.mojo_predict_csv

H2O Prediction from R without having H2O running

H2OModelMetrics-class

The H2OModelMetrics Object.

h2o.mojo_predict_df

H2O Prediction from R without having H2O running

Removal Endpoints

Retrieves Mean Squared Error Value

h2o.interaction

Categorical Interaction Feature Creation in H2O

Convert Milliseconds to Months in H2O Datasets

Starting H2O For examples

h2o.no_progress

Disable Progress Bar

Return the number of rows present in x.

Logical and for H2OFrames

.h2o.__EXPORT_FILES

Export Files Endpoint Generator

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

h2o.cross_validation_models

Retrieve the cross-validation models

Returns the column names of an H2OFrame

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.)

Edgar Anderson's Iris Data

United States Congressional Voting Records 1984

Method on Keyed objects allowing to obtain their key.

Returns the Dimensions of an H2OFrame

Rapids Endpoint

feature_frequencies.H2OModel

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

Automatic Machine Learning

Get the between cluster sum of squares

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 low-level HTTP GET operation on an H2O instance

h2o.predict_json

H2O Prediction from R without having H2O running

Administrative Endpoints

.h2o.__LOGANDECHO

Log and Echo Endpoint

.h2o.__REST_API_VERSION

H2O Package Constants

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

h2o.kfold_column

Produce a k-fold column vector.

Remove All Objects on the H2O Cluster

Delete Objects In H2O

h2o.scoreHistory

Retrieve Model Score History

Delete Columns from an H2OFrame

Scaling and Centering of an H2OFrame

Print An H2OFrame

Retrieves Root Mean Squared Error Value

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

h2o.cross_validation_predictions

Retrieve the cross-validation predictions

h2o.clusterStatus

Return the status of the cluster

predict_contributions.H2OModel

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

Column names of an H2OFrame

Access H2O Gains/Lift Tables

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

summary,H2OAutoML-method

Format AutoML object in user-friendly way

predict_leaf_node_assignment.H2OModel

Predict the Leaf Node Assignment on an H2O Model

summary,H2OCoxPHModel-method

Summary method for H2OCoxPHModel objects

h2o.cluster_sizes

Retrieve the cluster sizes

Convert Milliseconds to Day of Week in H2O Datasets

Compute element-wise string distances between two H2OFrames

Compute the log1p of x

h2o.mean_per_class_error

Retrieve the mean per class error

h2o.make_metrics

Create Model Metrics from predicted and actual values in H2O

Compute the log2 of x

Value Matching in H2O

h2o.mean_residual_deviance

Retrieve the Mean Residual Deviance value

Fit a General Additive Model

Remove Rows With NAs

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

Cross Tabulation and Table Creation in H2O

Split H2O Dataset, Apply Function, and Return Results

Compute DCT of an H2OFrame

h2o.decryptionSetup

Setup a Decryption Tool

Truncate values in x toward 0

Export a Model to HDFS

h2o.aggregated_frame

Retrieve an aggregated frame from an Aggregator model

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

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

Compute the arc cosine of x

Anomaly Detection via H2O Deep Learning Model

Retrieve the Model Centers

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

Count of NAs per column

h2o.get_ntrees_actual

Retrieve actual number of trees for tree algorithms

h2o.import_mojo

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

h2o.get_leaderboard

Retrieve the leaderboard from the AutoML instance.

Get the types-per-column

h2o.getTimezone

Get the Time Zone on the H2O cluster Returns a string

h2o.import_hive_table

Import Hive Table into H2O

View H2O R Logs

Principal component analysis of an H2O data frame

H2O Data Parsing

Is H2O Frame object

Predict on an H2O Model

Convert Milliseconds to Hour of Day in H2O Datasets

h2o.hit_ratio_table

Retrieve the Hit Ratios

show,H2OAutoML-method

Format AutoML object in user-friendly way

Print method for H2OTable objects

Check if numeric

Scaling and Centering of an H2OFrame

Print An H2OFrame

h2o.import_sql_select

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

Execute a Rapids expression.

Combine H2O Datasets by Rows

h2o.import_sql_table

Import SQL Table into H2O

h2o.ischaracter

Check if character

h2o.reset_threshold

Reset model threshold and return old threshold value.

Save an H2O Model Object as Mojo to Disk

h2o.setTimezone

Set the Time Zone on the H2O cluster

h2o.save_to_hive

Save contents of this data frame into a Hive table

Replicate Elements of Vectors or Lists into H2O

Check if factor

Return the levels from the column requested column.

h2o.listTimezones

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

h2o.centroid_stats

Retrieve centroid statistics

Connect to a running H2O instance.

Delete All H2O R Logs

Retrieve the Model Centers STD

h2o.set_s3_credentials

Creates a new Amazon S3 client internally with specified credentials.

Correlation of columns.

Return the cumulative product over a column or across a row

String Substitute

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

Return the cumulative sum over a column or across a row

Computes TF-IDF values for each word in given documents.

Convert a word2vec model into an H2OFrame

Conduct a lag 1 transform on a numeric H2OFrame column

H2O Description of A Dataset

h2o.train_segments

H2O Segmented-Data Bulk Model Training

h2o.transform,H2OTargetEncoderModel-method

Applies target encoding to a given dataset

Dump the stack into the JVM's stdout.

h2o.drop_duplicates

Drops duplicated rows.

Shannon entropy

Build gradient boosted classification or regression trees

Performs k-means clustering on an H2O dataset

Load H2O Model from HDFS or Local Disk

Returns the maxima of the input values.

Convert Milliseconds to Week of Week Year in H2O Datasets

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

Merge Two H2O Data Frames

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.

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.

Get an R reference to an H2O model

H2O Grid Support

Group and Apply by Column

Search for matches to an argument pattern

Retrieve the respective weight matrix

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

Build an eXtreme Gradient Boosting model

H2O Model Metric Accessor Functions

String Global Substitute

Column names of an H2OFrame

length,H2OTree-method

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

Get a parse setup back for the staged data.

h2o.partialPlot

Partial Dependence Plots

Check Client Mode Connection

Trains a Support Vector Machine model on an H2O dataset

Quantiles of H2O Frames.

Compute naive Bayes probabilities on an H2O dataset.

Retrieve the R2 value

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

h2o.randomForest

Build a Random Forest model

summary,H2OGrid-method

Format grid object in user-friendly way

summary,H2OModel-method

Print the Model Summary

h2o.list_all_extensions

List all H2O registered extensions

h2o.saveModelDetails

Save an H2O Model Details

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

Column names of an H2OFrame

Retrieve the Mean Absolute Error Value

h2o.list_api_extensions

List registered API extensions

Deprecated - use h2o.save_mojo instead. Save an H2O Model Object as Mojo to Disk

h2o.makeGLMModel

Set betas of an existing H2O GLM Model

h2o.proj_archetypes

Convert Archetypes to Features from H2O GLRM Model

h2o.reconstruct

Reconstruct Training Data via H2O GLRM Model

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

Returns the minima of the input values.

Produce a Vector of Random Uniform Numbers

Strip set from right

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

Compute the sine of x

Compute the square root of x

h2o.stackedEnsemble

Builds a Stacked Ensemble

Compute the hyperbolic tangent of x

h2o.networkTest

View Network Traffic Speed

Get the number of factor levels for this frame.

Compute msec since the Unix Epoch

Skewness of a column

Split an H2O Data Set

h2o.num_iterations

Retrieve the number of iterations.

h2o.target_encode_apply

Apply Target Encoding Map to Frame

h2o.transform_word2vec

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

h2o.target_encode_transform

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

h2o.targetencoder

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

h2o.target_encode_create

Create Target Encoding Map

h2o.num_valid_substrings

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

Variance of a column or covariance of columns.

Retrieve the variable importance.

h2o.xgboost.available

Determines whether an XGBoost model can be built

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

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.target_encode_fit

Deprecated API. Please use h2o.targetencoder model instead.

h2o.residual_dof

Retrieve the residual degrees of freedom

h2o.residual_deviance

Retrieve the residual deviance

Get the total sum of squares.

Use H2O Transformation model and apply the underlying transformation

h2o.transform,H2OWordEmbeddingModel-method

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

Convert strings to uppercase

Which index contains the min value?

Get the Within SS

h2o.scoreHistoryGAM

Retrieve GLM Model Score History buried in GAM model

predict.H2OAutoML

Predict on an AutoML object

Convert Milliseconds to Years in H2O Datasets

Plot an H2O Model

plot.H2OTabulate

Plot an H2O Tabulate Heatmap

Retrieve the standard deviations of principal components

Standard Deviation of a column of data.

Set Levels of H2O Factor Column

staged_predict_proba.H2OModel

Predict class probabilities at each stage of an H2O Model

Display the structure of an H2OFrame object

predict.H2OModel

Predict on an H2O Model

Prostate Cancer Study

Range of an H2O Column

h2o.stopLogging

Stop Writing H2O R Logs

Display the structure of an H2OFrame object

Use optional package

Muscular Actuations for Walking Subject

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

Summarizes the columns of an H2OFrame.

Tokenize String

Convert strings to lowercase

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.)

h2o.upload_mojo

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

Which indices are TRUE?

Which indice contains the max value?

Check if character

Check if factor

Shutdown H2O cluster after examples run