H2O Grid
The H2OClusteringModel object.
S3 Group Generic Functions for H2O
The H2OModel object.
Extract or Replace Parts of an H2OFrame Object
The H2OAutoML class
H2O Future Model
The H2OFrame class
The H2OModelMetrics Object.
Logical and for H2OFrames
The H2OConnection class.
Compute the arc cosine of x
Apply on H2O Datasets
Convert an H2OFrame to a String
Retrieve an aggregated frame from the Aggregator model
Converts parsed H2O data into an R data frame
Create H2OFrame
Logical or for H2OFrames
Convert an H2OFrame to a matrix
Starting H2O For examples
Australia Coastal Data
Returns the Dimensions of an H2OFrame
Returns the column names of an H2OFrame
Column names of an H2OFrame
Convert H2O Data to Characters
Builds an Aggregated Frame of an H2OFrame
Convert H2O Data to Factors
H2O bottomN
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".
Combine H2O Datasets by Columns
Convert H2O Data to Factors
Sorts H2OFrame by the columns specified. H2OFrame should not contain any String columns. Otherwise, an error will
be thrown. To sort column c1 in descending order, do desc(c1). Returns a new H2OFrame, like dplyr::arrange.
Convert H2O Data to Numeric
Functions to convert between character representations and objects of class "Date" representing calendar dates.
Convert an H2OFrame to a vector
ceiling takes a single numeric argument x and returns a
numeric vector containing the smallest integers not less than the
corresponding elements of x.
Retrieve the Model Centers
Given a set of logical vectors, are all of the values true?
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".
Anomaly Detection via H2O Deep Learning Model
Return the coefficients that can be applied to the non-standardized data.
Retrieve the AUC
Correlation of columns.
Accessor Methods for H2OModel Object
Compute the cosine of x
Convert Milliseconds to Day of Week in H2O Datasets
H2O R Interface
Compute DCT of an H2OFrame
Compute the absolute value of x
Given a set of logical vectors, is at least one of the values true?
Automatic Machine Learning
Check H2OFrame columns for factors
Convert H2O Data to Numerics
Delete All H2O R Logs
Retrieve the Model Centers STD
Print H2O cluster info
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.cross_validation_fold_assignment
Retrieve the cross-validation fold assignment
Obtain a list of columns that are specified by `coltype`
h2o.cross_validation_holdout_predictions
Retrieve the cross-validation holdout predictions
Compute weighted gram matrix.
Return the cumulative product over a column or across a row
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 sum over a column or across a row
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.
Build a Deep Learning model using multiple native GPU backends
Builds a deep neural network on an H2OFrame containing various data sources
Download the Scoring POJO (Plain Old Java Object) of an H2O Model
Rename an H2O object.
Shannon entropy
Cut H2O Numeric Data to Factor
Return coefficients fitted on the standardized data (requires standardize = True, which is on by default). These coefficients can be used to evaluate variable importance.
Convert Milliseconds to Day of Month in H2O Datasets
Return column names of an H2OFrame
H2O Description of A Dataset
Compute the hyperbolic cosine of x
Conduct a lag 1 transform on a numeric H2OFrame column
Data H2OFrame Creation in H2O
Returns the number of rows and columns for an H2OFrame object.
Column names of an H2OFrame
Retrieve an H2O Connection
Download H2O Data to Disk
Get an R Reference to an H2O Dataset, that will NOT be GC'd by default
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".
Get the types-per-column
Return the respective bias vector
Get h2o version
Determine if an H2O cluster is up or not
Return the status of the cluster
H2O Grid Support
Access H2O Confusion Matrices
Group and Apply by Column
h2o.cross_validation_models
Retrieve the cross-validation models
Connect to a running H2O instance.
h2o.cross_validation_predictions
Retrieve the cross-validation predictions
Export a Model to HDFS
Split H2O Dataset, Apply Function, and Return Results
fillNA
Setup a Decryption Tool
h2o.find_row_by_threshold
Find the threshold, give the max metric. No duplicate thresholds allowed
Compute a pairwise distance measure between all rows of two numeric H2OFrames.
Download H2O Log Files to Disk
Feature Generation via H2O Deep Learning or DeepWater Model
Build a Deep Neural Network model using CPUs
Builds a feed-forward multilayer artificial neural network on an H2OFrame
Access H2O Gains/Lift Tables
Compute the exponential function of x
Builds gradient boosted classification trees and gradient boosted regression trees on a parsed data set.
Export an H2O Data Frame (H2OFrame) to a File or to a collection of Files.
Get future model
floor takes a single numeric argument x and returns a numeric
vector containing the largest integers not greater than the
corresponding elements of x.
h2o.getGLMFullRegularizationPath
Extract full regularization path from glm model (assuming it was run with lambda search option)
Open H2O Flow
Get a grid object from H2O distributed K/V store.
Get an R reference to an H2O model
Get back-end distributed key/value store id from an H2OFrame.
Get the Time Zone on the H2O Cloud
Returns a string
Convert Milliseconds to Hour of Day in H2O Datasets
Import SQL table that is result of SELECT SQL query into H2O
Compute A Histogram
Check if factor
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".
Import Files into H2O
Check if numeric
H2O Apply Conditional Statement
Compute the log1p of x
Categorical Interaction Feature Creation in H2O
Compute the log2 of x
Check Client Mode Connection
Retrieve the Mean Absolute Error Value
h2o.find_threshold_by_max_metric
Find the threshold, give the max metric
Set betas of an existing H2O GLM Model
View H2O R Logs
Return the product of all the values present in its arguments.
Column names of an H2OFrame
Convert Archetypes to Features from H2O GLRM Model
String length
Reorders levels of an H2O factor, similarly to standard R's relevel.
Count of substrings >= 2 chars that are contained in file
Check if character
Performs k-means clustering on an H2O dataset.
String Global Substitute
Kurtosis of a column
Return the Head or Tail of an H2O Dataset.
Import SQL Table into H2O
iSAX
Basic Imputation of H2O Vectors
Return the levels from the column requested column.
Remove All Objects on the H2O Cluster
Log a message on the server-side logs
Retrieve the Log Loss Value
Retrieve the Root Mean Squared Log Error
Create Model Metrics from predicted and actual values in H2O
Round doubles/floats to the given number of decimal places.
Standard Deviation of a column of data.
Retrieve Model Score History
Split an H2O Data Set
Compute the square root of x
Download the model in MOJO format.
Compute the tangent of x
Filter NA Columns
Compute the hyperbolic tangent of x
Find synonyms using a word2vec model.
Convert strings to uppercase
Produce a k-fold column vector.
Transform words (or sequences of words) to vectors using a word2vec model.
Dump the stack into the JVM's stdout.
H2O Median
List registered core extensions
Load H2O Model from HDFS or Local Disk
Merge Two H2O Data Frames
Retrieve the GINI Coefficcient
Count of NAs per column
Compute naive Bayes probabilities on an H2O dataset.
Fits a generalized linear model, specified by a response variable, a set of predictors, and a
description of the error distribution.
Get the number of factor levels for this frame.
Generalized low rank decomposition of an H2O data frame.
Disable Progress Bar
Searches for matches to argument `pattern` within each element
of a string column.
H2O Data Parsing
Initialize and Connect to H2O
Get a parse setup back for the staged data.
Value Matching in H2O
Combine H2O Datasets by Rows
Reconstruct Training Data via H2O GLRM Model
H2O Model Metric Accessor Functions
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".
Returns the minima of the input values.
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".
Return the number of columns present in x.
Retrieve the standard deviations of principal components
Set Levels of H2O Factor Column
View Network Traffic Speed
List all of the Time Zones Acceptable by the H2O Cloud.
Retrieve the mean per class error
List Keys on an H2O Cluster
Strip set from left
h2o.mean_residual_deviance
Retrieve the Mean Residual Deviance value
Compute the sine of x
Retrieves Mean Squared Error Value
Skewness of a column
Substring
Remove Rows With NAs
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".
Return the number of rows present in x.
H2O Prediction from R without having H2O running
Convert Milliseconds to Week of Week Year in H2O Datasets
Print An H2OFrame
Retrieve the respective weight matrix
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
Principal components analysis of an H2O data frame using the power method
to calculate the singular value decomposition of the Gram matrix.
Check if character
Builds a Random Forest Model on an H2OFrame
Returns a vector containing the minimum and maximum of all the given arguments.
Insert Missing Values into an H2OFrame
Save an H2O Model Object to Disk
List all H2O registered extensions
Save an H2O Model Details
List registered API extensions
Shut Down H2O Instance
Compute the frame's sum by-column (or by-row).
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 logarithm of x
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".
Compute the log10 of x
H2O Unique
Returns the maxima of the input values.
Round doubles/floats to the given number of significant digits.
Compute the frame's mean by-column (or by-row).
Build a stacked ensemble (aka. Super Learner) using the H2O base
learning algorithms specified by the user.
Compute msec since the Unix Epoch
Start Writing H2O R Logs
Convert Milliseconds to Months in H2O Datasets
Retrieve the R2 value
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".
Strip set from right
Retrieve the number of iterations.
Partial Dependence Plots
Produce a Vector of Random Uniform Numbers
Model Performance Metrics in H2O
Set the Time Zone on the H2O Cloud
Enable Progress Bar
Delete Columns from an H2OFrame
Display the structure of an H2OFrame object
Replicate Elements of Vectors or Lists into H2O
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.
Delete Objects In H2O
Cross Tabulation and Table Creation in H2O
Quantiles of H2O Frames.
Tabulation between Two Columns of an H2OFrame
Retrieves Root Mean Squared Error Value
Summarizes the columns of an H2OFrame.
Save an H2O Model Object as Mojo to Disk
Singular value decomposition of an H2O data frame using the power method.
Scaling and Centering of an H2OFrame
Trim Space
Check if factor
Variance of a column or covariance of columns.
Predict on an H2O Model
predict_leaf_node_assignment.H2OModel
Predict the Leaf Node Assignment on an H2O Model
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.
Print the Model Summary
Convert Milliseconds to Years in H2O Datasets
Use optional package
Prostate Cancer Study
Plot Standardized Coefficient Magnitudes
Range of an H2O Column
Stop Writing H2O R Logs
String Split
Convert strings to lowercase
String Substitute
H2O topN
Converts a given word2vec model into H2OFrame. The frame represents learned word embeddings
Which indices are TRUE?
trunc takes a single numeric argument x and returns a numeric vector containing the integers
formed by truncating the values in x toward 0.
Which indice contains the max value?
Retrieve the variable importance.
United States Congressional Voting Records 1984
Plot Variable Importances
Trains a word2vec model on a String column of an H2O data frame.
Tokenize String
Builds a eXtreme Gradient Boosting model using the native XGBoost backend
Which index contains the min value?
Plot an H2O Tabulate Heatmap
Get the Within SS
Is H2O Frame object
Predict on an AutoML object
Check if numeric
Muscular Actuations for Walking Subject
Print An H2OFrame
Edgar Anderson's Iris Data
Shutdown H2O cloud after examples run
Column names of an H2OFrame
Print method for H2OTable objects
Plot an H2O Model
Format grid object in user-friendly way
Display the structure of an H2OFrame object