h2o

The H2OAutoML class

The H2OClusteringModel object.

The H2OConnection class.

The H2OConnectionMutableState class

The H2OCoxPHModel object.

The H2OCoxPHModelSummary object.

S3 Group Generic Functions for H2O

Extract or Replace Parts of an H2OFrame Object

The H2OFrame class

H2O Grid

The H2OLeafNode class.

The H2OModel object.

H2O Future Model

The H2OModelMetrics Object.

The H2ONode class.

H2O Segment Models

H2O Future Segment Models

The H2OSplitNode class.

The H2OTree class.

Virtual Keyed class

Logical or for H2OFrames

Accessor Methods for H2OModel Object

Starting H2O For examples

Logical and for H2OFrames

Apply on H2O Datasets

Convert an H2OFrame to a String

Converts parsed H2O data into an R data frame

Converts a collection of Segment Models to a data.frame

Convert H2O Data to Factors

Create H2OFrame

Convert an H2OFrame to a matrix

Convert H2O Data to Numeric

Convert an H2OFrame to a vector

Australia Coastal Data

Returns the column names of an H2OFrame

Returns the Dimensions of an H2OFrame

Column names of an H2OFrame

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

Stop with a user friendly message if a user is missing the ggplot2 package or has an old version of it.

Helper Collapse Function

Consolidate variable importances

Create a leaderboard like data frame for models

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

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

Get the algoritm used by the model_or_model_id

Get feature count sorted by the count descending.

Get first of family models

Capabilities endpoints

H2OFrame Manipulation

Decryption Endpoints

Removal Endpoints

Export Files Endpoint Generator

Inspect/Summary Endpoints

Import/Export Endpoints

Administrative Endpoints

Log and Echo Endpoint

Model Endpoint

Model Builder Endpoint Generator

Model Metrics Endpoint

Parse Endpoints

Rapids Endpoint

H2O Package Constants

Segment Models Builder Endpoint Generator

Word2Vec Endpoints

Check H2O Server Health

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

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

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

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

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

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

Check if Progress Bar is Enabled

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

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

Map of operations known to H2O

Has the model variable importance?

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

Is the model an H2O model?

Is the model a Tree-based H2O Model?

Check if we are plotting in to r notebook.

Enhance leaderboard with per-model predictions.

Min-max normalization.

Get Model Ids

The H2O Package Environment

Plot variable importances with ggplot2

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.

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

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.

Get variable importance in a standardized way.

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

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

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

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 R Interface

Retrieve HGLM ModelMetrics

Compute the absolute value of x

Compute the arc cosine of x

Retrieve an aggregated frame from an Aggregator model

Build an Aggregated Frame

Retrieve the Akaike information criterion (AIC) value

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

Anomaly Detection via H2O Deep Learning Model

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

Check H2OFrame columns for factors

Sorts an H2O frame by columns

Convert between character representations and objects of Date class

Convert H2O Data to Characters

Convert H2O Data to Factors

Convert H2O Data to Numerics

Rename an H2O object.

Retrieve the AUC

Retrieve the AUCPR (Area Under Precision Recall Curve)

Automatic Machine Learning

Get the between cluster sum of squares

Return the respective bias vector

H2O bottomN

Combine H2O Datasets by Columns

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

Retrieve the Model Centers

Retrieve the Model Centers STD

Retrieve centroid statistics

Delete All H2O R Logs

Print H2O cluster info

Determine if an H2O cluster is up or not

Return the status of the cluster

Retrieve the cluster sizes

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.

Return column names of an H2OFrame

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

Compute weighted gram matrix.

Access H2O Confusion Matrices

Connect to a running H2O instance.

Correlation of columns.

Compute the cosine of x

Compute the hyperbolic cosine of x

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

Data H2OFrame Creation in H2O

Retrieve the cross-validation fold assignment

Retrieve the cross-validation holdout predictions

Retrieve the cross-validation models

Retrieve the cross-validation predictions

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 product over a column or across a row

Return the cumulative sum over a column or across a row

Cut H2O Numeric Data to Factor

Convert Milliseconds to Day of Month in H2O Datasets

Convert Milliseconds to Day of Week in H2O Datasets

Compute DCT of an H2OFrame

Split H2O Dataset, Apply Function, and Return Results

Setup a Decryption Tool

Feature Generation via H2O Deep Learning

Build a Deep Neural Network model using CPUs

H2O Description of A Dataset

Conduct a lag 1 transform on a numeric H2OFrame column

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

Column names of an H2OFrame

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

Download H2O Log Files to Disk

Download H2O Data to Disk

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

Download the model in MOJO format.

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

Drops duplicated rows.

Shannon entropy

Compute the exponential function of x

Generate Model Explanations

Generate Model Explanations for a single row

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

Export a Model to HDFS

Feature interactions and importance, leaf statistics and split value histograms in a tabular form. Available for XGBoost and GBM.

fillNA

Filter NA Columns

Find synonyms using a word2vec model.

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

Find the threshold, give the max metric

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

Open H2O Flow

Access H2O Gains/Lift Tables

Fit a General Additive Model

Build gradient boosted classification or regression trees

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.

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

Extract best alpha value found from glm model.

Retrieve an H2O Connection

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

Extract full regularization path from a GLM model

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

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

Extract best lambda value found from glm model.

Extract the maximum lambda value used during lambda search from glm model.

Extract the minimum lambda value calculated during lambda search from glm model. Note that due to early stop, this minimum lambda value may not be used in the actual lambda search.

Get an R reference to an H2O model

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 the Time Zone on the H2O cluster Returns a string

Get the types-per-column

Get h2o version

Get an R object that is a subclass of H2OAutoML

Get best model of a given family/algorithm for a given criterion from an AutoML object.

Retrieve the leaderboard from the AutoML instance.

Retrieve actual number of trees for tree algorithms

Retrieves an instance of H2OSegmentModels for a given id.

Retrieve the GINI Coefficcient

Fit a generalized linear model

Generalized low rank decomposition of an H2O data frame

Search for matches to an argument pattern

H2O Grid Support

Group and Apply by Column

String Global Substitute

Return the Head or Tail of an H2O Dataset.

Compute A Histogram

Retrieve the Hit Ratios

Convert Milliseconds to Hour of Day in H2O Datasets

Plot Individual Conditional Expectation (ICE) for each decile

H2O Apply Conditional Statement

Import Files into H2O

Import Hive Table into H2O

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

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

Import SQL Table into H2O

Basic Imputation of H2O Vectors

Initialize and Connect to H2O

Insert Missing Values into an H2OFrame

Categorical Interaction Feature Creation in H2O

Check Client Mode Connection

iSAX

Check if character

Check if factor

Check if numeric

Trains an Isolation Forest model

Method on Keyed objects allowing to obtain their key.

Produce a k-fold column vector.

Dump the stack into the JVM's stdout.

Performs k-means clustering on an H2O dataset

Kolmogorov-Smirnov metric for binomial models

Kurtosis of a column

Learning Curve Plot

Return the levels from the column requested column.

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

List all H2O registered extensions

List registered API extensions

List registered core extensions

Return list of jobs performed by the H2O cluster

Get an list of all model ids present in the cluster

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

Load H2O Model from HDFS or Local Disk

Load frame previously stored in H2O's native format.

Compute the logarithm of x

Compute the log10 of x

Compute the log1p of x

Compute the log2 of x

Log a message on the server-side logs

Retrieve the Log Loss Value

List Keys on an H2O Cluster

Strip set from left

Retrieve the Mean Absolute Error Value

Set betas of an existing H2O GLM Model

Create Model Metrics from predicted and actual values in H2O

Value Matching in H2O

Returns the maxima of the input values.

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

Retrieve the mean per class error

Retrieve the Mean Residual Deviance value

H2O Median

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

Merge Two H2O Data Frames

H2O Model Metric Accessor Functions

Returns the minima of the input values.

Compute msec since the Unix Epoch

Model Prediction Correlation Heatmap

H2O Prediction from R without having H2O running

H2O Prediction from R without having H2O running

Convert Milliseconds to Months in H2O Datasets

Retrieves Mean Squared Error Value

Retrieve the all AUC values in a table (One to Rest, One to One, macro and weighted average) for mutlinomial classification.

Retrieve the all PR AUC values in a table (One to Rest, One to One, macro and weighted average) for mutlinomial classification.

Remove Rows With NAs

Count of NAs per column

Compute naive Bayes probabilities on an H2O dataset.

Column names of an H2OFrame

String length

Return the number of columns present in x.

View Network Traffic Speed

Get the number of factor levels for this frame.

Disable Progress Bar

Return the number of rows present in x.

Retrieve the null deviance

Retrieve the null degrees of freedom

Retrieve the number of iterations.

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

View H2O R Logs

H2O Data Parsing

Get a parse setup back for the staged data.

Partial Dependence Plots

Plot partial dependencies for a variable across multiple models

Plot partial dependence for a variable

Model Performance Metrics in H2O

Pivot a frame

Principal component analysis of an H2O data frame

Predict on an H2O Model

H2O Prediction from R without having H2O running

Print An H2OFrame

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

Convert Archetypes to Features from H2O GLRM Model

Trains a Support Vector Machine model on an H2O dataset

Quantiles of H2O Frames.

Retrieve the R2 value

Build a Random Forest model

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

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.

Execute a Rapids expression.

Combine H2O Datasets by Rows

Reconstruct Training Data via H2O GLRM Model

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

Remove All Objects on the H2O Cluster

Delete Columns from an H2OFrame

Replicate Elements of Vectors or Lists into H2O

Reset model threshold and return old threshold value.

Residual Analysis

Retrieve the residual deviance

Retrieve the residual degrees of freedom

Triggers auto-recovery resume - this will look into configured recovery dir and resume and tasks that were interrupted by unexpected cluster stopping.

Resume previously stopped grid training.

Delete Objects In H2O

Retrieves Root Mean Squared Error Value

Retrieve the Root Mean Squared Log Error

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

Strip set from right

Build a RuleFit Model

Produce a Vector of Random Uniform Numbers

Saves an existing Grid of models into a given folder.

Save an H2O Model Object to Disk

Save an H2O Model Details

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

Store frame data in H2O's native format.

Save an H2O Model Object as Mojo to Disk

Save contents of this data frame into a Hive table

Scaling and Centering of an H2OFrame

Retrieve Model Score History

Retrieve GLM Model Score History buried in GAM model

Standard Deviation of a column of data.

Retrieve the standard deviations of principal components

Set Levels of H2O Factor Column

Set the Time Zone on the H2O cluster

Creates a new Amazon S3 client internally with specified credentials.

SHAP Local Explanation

SHAP Summary Plot

Enable Progress Bar

Shut Down H2O Instance

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

Compute the sine of x

Skewness of a column

Split an H2O Data Set

Compute the square root of x

Builds a Stacked Ensemble

Start Writing H2O R Logs

Plot Standardized Coefficient Magnitudes

Stop Writing H2O R Logs

Display the structure of an H2OFrame object

Compute element-wise string distances between two H2OFrames

String Split

String Substitute

Substring

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

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

Tabulation between Two Columns of an H2OFrame

Compute the tangent of x

Compute the hyperbolic tangent of x

Apply Target Encoding Map to Frame

Create Target Encoding Map

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

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

Convert a word2vec model into an H2OFrame

Tokenize String

Convert strings to lowercase

H2O topN

Get the total within cluster sum of squares.

Get the total sum of squares.

Convert strings to uppercase

H2O Segmented-Data Bulk Model Training

Use H2O Transformation model and apply the underlying transformation

Applies target encoding to a given dataset

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

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

Trim Space

Truncate values in x toward 0

H2O Unique

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.)

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

Variance of a column or covariance of columns.

Retrieve the variable importance.

Variable Importance Heatmap across multiple models

Plot Variable Importances

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.)

Convert Milliseconds to Week of Week Year in H2O Datasets

Retrieve the respective weight matrix

Which indices are TRUE?

Which indice contains the max value?

Which index contains the min value?

Get the Within SS

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

Build an eXtreme Gradient Boosting model

Determines whether an XGBoost model can be built

Convert Milliseconds to Years in H2O Datasets

United States Congressional Voting Records 1984

Edgar Anderson's Iris Data

Check if character

Check if factor

Is H2O Frame object

Check if numeric

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

Needed to be able to memoise the models

Column names of an H2OFrame

Plot an H2O Model

Plot an H2O Tabulate Heatmap

Predict on an AutoML object

Predict on an H2O Model

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

Predict the Leaf Node Assignment on an H2O Model

Print An H2OFrame

Print method for H2OTable objects

Prostate Cancer Study

Range of an H2O Column

Scaling and Centering of an H2OFrame

Format AutoML object in user-friendly way

Predict class probabilities at each stage of an H2O Model

Display the structure of an H2OFrame object

Format AutoML object in user-friendly way

Summary method for H2OCoxPHModel objects

Format grid object in user-friendly way

Print the Model Summary

Use optional package

Muscular Actuations for Walking Subject

Suppresses h2o progress output from expr

Shutdown H2O cluster after examples run