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h2o (version 3.32.0.1)

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 (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

install.packages('h2o')

Monthly Downloads

7,966

Version

3.32.0.1

License

Apache License (== 2.0)

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Repository

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

Maintainer

Erin LeDell

Last Published

October 17th, 2020

Functions in h2o (3.32.0.1)

H2OConnectionMutableState

The H2OConnectionMutableState class

H2OCoxPHModel-class

The H2OCoxPHModel object.

H2OFrame-Extract

Extract or Replace Parts of an H2OFrame Object

H2OClusteringModel-class

The H2OClusteringModel object.

S3 Group Generic Functions for H2O

H2OAutoML-class

The H2OAutoML class

H2OCoxPHModelSummary-class

The H2OCoxPHModelSummary object.

H2OConnection-class

The H2OConnection class.

The H2OFrame class

The H2OTree class.

H2OSegmentModels-class

H2O Segment Models

The H2ONode class.

H2OSplitNode-class

The H2OSplitNode class.

H2OSegmentModelsFuture-class

H2O Future Segment Models

Logical and for H2OFrames

H2OModelMetrics-class

The H2OModelMetrics Object.

H2OModelFuture-class

H2O Future Model

Starting H2O For examples

.h2o.__DECRYPTION_SETUP

Decryption Endpoints

Logical or for H2OFrames

Apply on H2O Datasets

H2OLeafNode-class

The H2OLeafNode class.

.h2o.__PARSE_SETUP

Parse Endpoints

Removal Endpoints

Accessor Methods for H2OModel Object

Australia Coastal Data

Get the algoritm used by the model_or_model_id

.find_appropriate_column_name

Tries to match a fuzzy_col_name with a column name that exists in cols.

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

as.vector.H2OFrame

Convert an H2OFrame to a vector

.skip_if_not_developer

H2O <-> R Communication and Utility Methods

Convert to quantiles when provided with numeric vector. When col is a factor vector assign uniformly value between 0 and 1 to each level.

.h2o.perfect_auc

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

.h2o.primitives

Map of operations known to H2O

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

Rapids Endpoint

as.character.H2OFrame

Convert an H2OFrame to a String

.h2o.__REST_API_VERSION

H2O Package Constants

.consolidate_varimps

Consolidate variable importances

.customized_call

A helper function that makes it easier to override/add params in a function call.

.create_leaderboard

Create a leaderboard like data frame for models

Helper Collapse Function

.h2o.__MODEL_BUILDERS

Model Builder Endpoint Generator

Virtual Keyed class

Returns the column names of an H2OFrame

Create H2OFrame

Convert H2O Data to Factors

The H2OModel object.

.h2o.__SEGMENT_MODELS_BUILDERS

Segment Models Builder Endpoint Generator

as.data.frame.H2OFrame

Converts parsed H2O data into an R data frame

Convert H2O Data to Numerics

.get_feature_count

Get feature count sorted by the count descending.

.get_first_of_family

Get first of family models

Returns the Dimensions of an H2OFrame

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

Inspect/Summary Endpoints

.h2o.__EXPORT_FILES

Export Files Endpoint Generator

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

as.matrix.H2OFrame

Convert an H2OFrame to a matrix

as.data.frame.H2OSegmentModels

Converts a collection of Segment Models to a data.frame

Convert H2O Data to Numeric

dimnames.H2OFrame

Column names of an H2OFrame

Rename an H2O object.

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

Is the model considered to be interpretable, i.e., simple enough.

Has the model variable importance?

.process_models_or_automl

Do basic validation and transform object to a "standardized" list containing models, and their properties such as x, y, whether it is a (multinomial) clasification or not etc.

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

.h2o.doSafePOST

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

Get variable importance in a standardized way.

.h2o.__MODEL_METRICS

Model Metrics Endpoint

Retrieve the AUCPR (Area Under Precision Recall Curve)

Retrieve the AUC

.h2o.__LOGANDECHO

Log and Echo Endpoint

.is_plotting_to_rnotebook

Check if we are plotting in to r notebook.

.leaderboard_for_row

Enhance leaderboard with per-model predictions.

Is the model an H2O model?

Plot variable importances with ggplot2

Compute the absolute value of x

h2o.HGLMMetrics

Retrieve HGLM ModelMetrics

Sorts an H2O frame by columns

Convert between character representations and objects of Date class

The H2O Package Environment

.is_h2o_tree_model

Is the model a Tree-based H2O Model?

.h2o.__ALL_CAPABILITIES

Capabilities endpoints

Import/Export Endpoints

.h2o.__CREATE_FRAME

H2OFrame Manipulation

Administrative Endpoints

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

h2o.cross_validation_holdout_predictions

Retrieve the cross-validation holdout predictions

Return the cumulative sum over a column or across a row

Combine H2O Datasets by Columns

h2o.cross_validation_fold_assignment

Retrieve the cross-validation fold assignment

Return the cumulative product over a column or across a row

.shorten_model_ids

Shortens model ids if possible (iff there will be same amount of unique model_ids as before)

.h2o.__W2V_SYNONYMS

Word2Vec Endpoints

generate_col_ind

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

feature_frequencies.H2OModel

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

h2o.clusterInfo

Print H2O cluster info

Anomaly Detection via H2O Deep Learning Model

h2o.createFrame

Data H2OFrame Creation in H2O

Delete All H2O R Logs

h2o.centroid_stats

Retrieve centroid statistics

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

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

Convert Milliseconds to Day of Week in H2O Datasets

Compute DCT of an H2OFrame

h2o.clusterIsUp

Determine if an H2O cluster is up or not

h2o.cross_validation_models

Retrieve the cross-validation models

Compute the arc cosine of x

.h2o.is_progress

Check if Progress Bar is Enabled

Min-max normalization.

.h2o.__checkConnectionHealth

Check H2O Server Health

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

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

Retrieve the Model Centers STD

H2O R Interface

Retrieve the Model Centers

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.

H2O Description of A Dataset

h2o.aggregated_frame

Retrieve an aggregated frame from an Aggregator model

h2o.downloadAllLogs

Download H2O Log Files to Disk

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

h2o.cross_validation_predictions

Retrieve the cross-validation predictions

h2o.find_row_by_threshold

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

Build gradient boosted classification or regression trees

h2o.drop_duplicates

Drops duplicated rows.

Conduct a lag 1 transform on a numeric H2OFrame column

Shannon entropy

h2o.find_threshold_by_max_metric

Find the threshold, give the max metric

Convert H2O Data to Factors

Return the respective bias vector

h2o.ascharacter

Convert H2O Data to Characters

h2o.downloadCSV

Download H2O Data to Disk

h2o.get_segment_models

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

Retrieve the GINI Coefficcient

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.

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

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

h2o.download_model

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

Retrieve the Akaike information criterion (AIC) value

Build an Aggregated Frame

h2o.columns_by_type

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

Return column names of an H2OFrame

Search for matches to an argument pattern

Check H2OFrame columns for factors

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

Automatic Machine Learning

Get the between cluster sum of squares

h2o.getTimezone

Get the Time Zone on the H2O cluster Returns a string

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

h2o.decryptionSetup

Setup a Decryption Tool

Split H2O Dataset, Apply Function, and Return Results

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

Compute the cosine of x

Compute the hyperbolic cosine of x

Export a Model to HDFS

Check if factor

h2o.hit_ratio_table

Retrieve the Hit Ratios

Convert Milliseconds to Hour of Day in H2O Datasets

Get the types-per-column

h2o.clusterStatus

Return the status of the cluster

h2o.download_mojo

Download the model in MOJO format.

Column names of an H2OFrame

h2o.download_pojo

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

Correlation of columns.

Return the cumulative min over a column or across a row

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

Connect to a running H2O instance.

Return the cumulative max over a column or across a row

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

h2o.deepfeatures

Feature Generation via H2O Deep Learning

h2o.cluster_sizes

Retrieve the cluster sizes

h2o.filterNACols

Filter NA Columns

Check if numeric

H2O Grid Support

h2o.list_core_extensions

List registered core extensions

Returns the maxima of the input values.

h2o.list_api_extensions

List registered API extensions

Value Matching in H2O

View H2O R Logs

H2O Data Parsing

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

h2o.residual_analysis_plot

Residual Analysis

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.

Import Files into H2O

h2o.computeGram

Compute weighted gram matrix.

h2o.findSynonyms

Find synonyms using a word2vec model.

Generalized low rank decomposition of an H2O data frame

h2o.import_sql_table

Import SQL Table into H2O

Fit a generalized linear model

h2o.genericModel

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

Compute the exponential function of x

Generate Model Explanations

Get h2o version

h2o.deeplearning

Build a Deep Neural Network model using CPUs

h2o.getConnection

Retrieve an H2O Connection

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

Plot Individual Conditional Expectation (ICE) for each decile

h2o.residual_deviance

Retrieve the residual deviance

h2o.import_hive_table

Import Hive Table into H2O

h2o.confusionMatrix

Access H2O Confusion Matrices

Retrieve the Log Loss Value

Return list of jobs performed by the H2O cluster

h2o.kfold_column

Produce a k-fold column vector.

List Keys on an H2O Cluster

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

Basic Imputation of H2O Vectors

Dump the stack into the JVM's stdout.

Convert Milliseconds to Months in H2O Datasets

h2o.residual_dof

Retrieve the residual degrees of freedom

h2o.kolmogorov_smirnov

Kolmogorov-Smirnov metric for binomial models

H2O Apply Conditional Statement

Delete Objects In H2O

Performs k-means clustering on an H2O dataset

Load H2O Model from HDFS or Local Disk

Retrieves Mean Squared Error Value

Convert Milliseconds to Day of Month in H2O Datasets

Cut H2O Numeric Data to Factor

h2o.explain_row

Generate Model Explanations for a single row

Scaling and Centering of an H2OFrame

Compute the log2 of x

H2O Model Metric Accessor Functions

Log a message on the server-side logs

Compute the logarithm of x

Returns the minima of the input values.

Access H2O Gains/Lift Tables

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

Initialize and Connect to H2O

h2o.insertMissingValues

Insert Missing Values into an H2OFrame

h2o.networkTest

View Network Traffic Speed

Compute msec since the Unix Epoch

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.

Fit a General Additive Model

h2o.get_leaderboard

Retrieve the leaderboard from the AutoML instance.

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

h2o.getGLMFullRegularizationPath

Extract full regularization path from a GLM model

Return the number of columns present in x.

h2o.model_correlation_heatmap

Model Prediction Correlation Heatmap

Trains a Support Vector Machine model on an H2O dataset

h2o.performance

Model Performance Metrics in H2O

Get the number of factor levels for this frame.

h2o.isolationForest

Trains an Isolation Forest model

String Global Substitute

h2o.import_sql_select

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

h2o.list_all_extensions

List all H2O registered extensions

h2o.listTimezones

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

Group and Apply by Column

h2o.import_mojo

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

Strip set from left

Replicate Elements of Vectors or Lists into H2O

Quantiles of H2O Frames.

Retrieve the Mean Absolute Error Value

h2o.saveModelDetails

Save an H2O Model Details

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

Skewness of a column

Strip set from right

h2o.reset_threshold

Reset model threshold and return old threshold value.

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

h2o.get_ntrees_actual

Retrieve actual number of trees for tree algorithms

Compute A Histogram

Return the Head or Tail of an H2O Dataset.

h2o.scoreHistory

Retrieve Model Score History

h2o.interaction

Categorical Interaction Feature Creation in H2O

Print An H2OFrame

h2o.predict_json

H2O Prediction from R without having H2O running

Check Client Mode Connection

h2o.ischaracter

Check if character

Retrieve the standard deviations of principal components

Build a RuleFit Model

Produce a Vector of Random Uniform Numbers

Set Levels of H2O Factor Column

Shut Down H2O Instance

h2o.show_progress

Enable Progress Bar

Compute the log10 of x

Compute element-wise string distances between two H2OFrames

Method on Keyed objects allowing to obtain their key.

Get the total sum of squares.

Split an H2O Data Set

Convert strings to uppercase

h2o.upload_mojo

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

Build an eXtreme Gradient Boosting 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.)

model_cache-class

Needed to be able to memoise the models

summary,H2OAutoML-method

Format AutoML object in user-friendly way

Column names of an H2OFrame

h2o.xgboost.available

Determines whether an XGBoost model can be built

Kurtosis of a column

h2o.mean_residual_deviance

Retrieve the Mean Residual Deviance value

Return the levels from the column requested column.

h2o.mojo_predict_csv

H2O Prediction from R without having H2O running

h2o.mojo_predict_df

H2O Prediction from R without having H2O running

Remove Rows With NAs

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

Compute the log1p of x

h2o.mean_per_class_error

Retrieve the mean per class error

summary,H2OCoxPHModel-method

Summary method for H2OCoxPHModel objects

Compute the sine of x

Display the structure of an H2OFrame object

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

h2o.stopLogging

Stop Writing H2O R Logs

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

h2o.num_iterations

Retrieve the number of iterations.

h2o.num_valid_substrings

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

h2o.pd_multi_plot

Plot partial dependencies for a variable across multiple models

Retrieve the R2 value

Plot partial dependence for a variable

Count of NAs per column

Retrieve the null degrees of freedom

h2o.partialPlot

Partial Dependence Plots

Get a parse setup back for the staged data.

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

h2o.null_deviance

Retrieve the null deviance

h2o.makeGLMModel

Set betas of an existing H2O GLM Model

h2o.make_metrics

Create Model Metrics from predicted and actual values in H2O

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

Merge Two H2O Data Frames

h2o.proj_archetypes

Convert Archetypes to Features from H2O GLRM Model

Execute a Rapids expression.

Cross Tabulation and Table Creation in H2O

h2o.reconstruct

Reconstruct Training Data via H2O GLRM Model

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

h2o.randomForest

Build a Random Forest model

h2o.transform,H2OTargetEncoderModel-method

Applies target encoding to a given dataset

h2o.train_segments

H2O Segmented-Data Bulk Model Training

Truncate values in x toward 0

h2o.varimp_heatmap

Variable Importance Heatmap across multiple models

Combine H2O Datasets by Rows

Retrieves Root Mean Squared Error Value

h2o.varimp_plot

Plot Variable Importances

Tabulation between Two Columns of an H2OFrame

Compute the tangent of x

Save an H2O Model Object to Disk

h2o.save_to_hive

Save contents of this data frame into a Hive table

Saves an existing Grid of models into a given folder.

Save an H2O Model Object as Mojo to Disk

Check if factor

Is H2O Frame object

Column names of an H2OFrame

Return the number of rows present in x.

Compute naive Bayes probabilities on an H2O dataset.

h2o.no_progress

Disable Progress Bar

h2o.tot_withinss

Get the total within cluster sum of squares.

Retrieve the Root Mean Squared Log Error

Predict on an H2O Model

Principal component analysis of an H2O data frame

Remove All Objects on the H2O Cluster

Delete Columns from an H2OFrame

h2o.set_s3_credentials

Creates a new Amazon S3 client internally with specified credentials.

h2o.setTimezone

Set the Time Zone on the H2O cluster

h2o.startLogging

Start Writing H2O R Logs

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

h2o.std_coef_plot

Plot Standardized Coefficient Magnitudes

Summarizes the columns of an H2OFrame.

Compute the square root of x

predict_leaf_node_assignment.H2OModel

Predict the Leaf Node Assignment on an H2O Model

predict_contributions.H2OModel

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

summary,H2OGrid-method

Format grid object in user-friendly way

Standard Deviation of a column of data.

h2o.scoreHistoryGAM

Retrieve GLM Model Score History buried in GAM model

Tokenize String

Variance of a column or covariance of columns.

Convert strings to lowercase

Retrieve the variable importance.

summary,H2OModel-method

Print the Model Summary

h2o.shap_summary_plot

SHAP Summary Plot

h2o.shap_explain_row_plot

SHAP Local Explanation

String Substitute

h2o.transform,H2OWordEmbeddingModel-method

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

Prostate Cancer Study

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.)

Check if numeric

length,H2OTree-method

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

Convert Milliseconds to Week of Week Year in H2O Datasets

Range of an H2O Column

Use H2O Transformation model and apply the underlying transformation

h2o.target_encode_create

Create Target Encoding Map

h2o.stackedEnsemble

Builds a Stacked Ensemble

h2o.targetencoder

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

Get the Within SS

Which indices are TRUE?

Scaling and Centering of an H2OFrame

predict.H2OAutoML

Predict on an AutoML object

Retrieve the respective weight matrix

Edgar Anderson's Iris Data

predict.H2OModel

Predict on an H2O Model

Check if character

with_no_h2o_progress

Suppresses h2o progress output from expr

Plot an H2O Model

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

Shutdown H2O cluster after examples run

plot.H2OTabulate

Plot an H2O Tabulate Heatmap

show,H2OAutoML-method

Format AutoML object in user-friendly way

Compute the hyperbolic tangent of x

h2o.target_encode_apply

Apply Target Encoding Map to Frame

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

h2o.transform_word2vec

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

Convert a word2vec model into an H2OFrame

Which indice contains the max value?

Which index contains the min value?

Convert Milliseconds to Years in H2O Datasets

Print An H2OFrame

staged_predict_proba.H2OModel

Predict class probabilities at each stage of an H2O Model

United States Congressional Voting Records 1984

Print method for H2OTable objects

Use optional package

Display the structure of an H2OFrame object

Muscular Actuations for Walking Subject