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