The H2ONode class.
Model Endpoint
The H2OLeafNode class.
Helper Collapse Function
H2OSegmentModelsFuture-class
H2O Future Segment Models
Apply on H2O Datasets
Convert an H2OFrame to a String
H2OCoxPHModelSummary-class
The H2OCoxPHModelSummary object.
The H2OSplitNode class.
H2O Segment Models
Capabilities endpoints
The H2OTree class.
Returns the column names of an H2OFrame
Converts parsed H2O data into an R data frame
as.data.frame.H2OSegmentModels
Converts a collection of Segment Models to a data.frame
Virtual Keyed class
Returns the Dimensions of an H2OFrame
Removal Endpoints
H2O Future Model
The H2OModelMetrics Object.
Inspect/Summary Endpoints
The H2OModel object.
Model Builder Endpoint Generator
Accessor Methods for H2OModel Object
Logical or for H2OFrames
Convert an H2OFrame to a matrix
Starting H2O For examples
H2O Package Constants
Logical and for H2OFrames
Retrieve the AUCPR (Area Under Precision Recall Curve)
Column names of an H2OFrame
Automatic Machine Learning
Perform a low-level HTTP POST operation on an H2O instance
H2OFrame Manipulation
TODO: No objects in this file are being used. Either remove file or use objects.
Used to verify data, x, y and turn into the appropriate things
Parse Endpoints
Convert H2O Data to Numeric
feature_frequencies.H2OModel
Retrieve the number of occurrences of each feature for given observations
Available for GBM, Random Forest and Isolation Forest models.
Retrieve an aggregated frame from an Aggregator model
Retrieve the Akaike information criterion (AIC) value
Create H2OFrame
Convert H2O Data to Factors
Convert an H2OFrame to a vector
Australia Coastal Data
Decryption Endpoints
Export Files Endpoint Generator
Rename an H2O object.
Just like doRawPOST but fills in the default h2oRestApiVersion if none is provided
Get the between cluster sum of squares
Return the respective bias vector
Retrieve the AUC
Build an Aggregated Frame
Administrative Endpoints
.h2o.__checkConnectionHealth
Check H2O Server Health
Retrieve the Model Centers
Import/Export Endpoints
.h2o.__SEGMENT_MODELS_BUILDERS
Segment Models Builder Endpoint Generator
Just like doRawGET but fills in the default h2oRestApiVersion if none is provided
Check if Progress Bar is Enabled
Perform a safe (i.e. error-checked) HTTP POST request to an H2O cluster.
Log and Echo Endpoint
Perform a low-level HTTP GET operation on an H2O instance
CHeck to see if the column names/indices entered is valid for the dataframe given. This is an internal function
Perform a safe (i.e. error-checked) HTTP GET request to an H2O cluster.
Access H2O Gains/Lift Tables
Print H2O cluster info
Data H2OFrame Creation in H2O
Delete All H2O R Logs
The H2O Package Environment
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.
Return the cumulative sum over a column or across a row
h2o.cross_validation_fold_assignment
Retrieve the cross-validation fold assignment
Cut H2O Numeric Data to Factor
H2O <-> R Communication and Utility Methods
Word2Vec Endpoints
Download the Scoring POJO (Plain Old Java Object) of an H2O Model
Returns the number of rows and columns for an H2OFrame object.
Export a Model to HDFS
Conduct a lag 1 transform on a numeric H2OFrame column
fillNA
H2O R Interface
Take a single numeric argument and return a numeric vector with the largest integers
Retrieve HGLM ModelMetrics
Open H2O Flow
h2o.getGLMFullRegularizationPath
Extract full regularization path from a GLM model
Compute the absolute value of x
Anomaly Detection via H2O Deep Learning Model
Get an R Reference to an H2O Dataset, that will NOT be GC'd by default
Given a set of logical vectors, are all of the values true?
Compute the arc cosine of x
Rapids Endpoint
Map of operations known to H2O
Retrieve the Model Centers STD
Retrieve centroid statistics
Return coefficients fitted on the standardized data (requires standardize = True, which is on by default). These coefficients can be used to evaluate variable importance.
Given a set of logical vectors, is at least one of the values true?
Return column names of an H2OFrame
Convert between character representations and objects of Date class
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
Obtain a list of columns that are specified by `coltype`
Imports a model under given path, creating a Generic model with it.
h2o.cross_validation_holdout_predictions
Retrieve the cross-validation holdout predictions
H2O bottomN
Convert H2O Data to Characters
Check Client Mode Connection
Retrieve the leaderboard from the AutoML instance.
Combine H2O Datasets by Columns
Import SQL table that is result of SELECT SQL query into H2O
Retrieve actual number of trees for tree algorithms
Retrieve the cluster sizes
Import SQL Table into H2O
Return the coefficients that can be applied to the non-standardized data.
Take a single numeric argument and return a numeric vector with the smallest integers
Sorts an H2O frame by columns
Convert H2O Data to Factors
h2o.cross_validation_models
Retrieve the cross-validation models
Determine if an H2O cluster is up or not
Return the cumulative min over a column or across a row
H2O Description of A Dataset
Check H2OFrame columns for factors
H2O Grid Support
Compute the hyperbolic cosine of x
Convert H2O Data to Numerics
Trains a Cox Proportional Hazards Model (CoxPH) on an H2O dataset
Compute the cosine of x
Return the cumulative product over a column or across a row
Correlation of columns.
Download H2O Log Files to Disk
Return the status of the cluster
h2o.cross_validation_predictions
Retrieve the cross-validation predictions
Return the cumulative max over a column or across a row
Access H2O Confusion Matrices
List registered API extensions
iSAX
List registered core extensions
Compute DCT of an H2OFrame
Shannon entropy
Download H2O Data to Disk
Compute weighted gram matrix.
Get a grid object from H2O distributed K/V store.
Retrieve the Hit Ratios
Retrieves an instance of '>H2OSegmentModels for a given id. Feature Generation via H2O Deep Learning
Quantiles of H2O Frames.
Setup a Decryption Tool
Connect to a running H2O instance.
Filter NA Columns
Split H2O Dataset, Apply Function, and Return Results
Create Model Metrics from predicted and actual values in H2O
Return list of jobs performed by the H2O cluster
Value Matching in H2O
Download the model in binary format.
The owner of the file saved is the user by which python session was executed.
Convert Milliseconds to Day of Week in H2O Datasets
Convert Milliseconds to Day of Month in H2O Datasets
Fit a General Additive Model
Return the Head or Tail of an H2O Dataset.
Build a Deep Neural Network model using CPUs
h2o.mean_residual_deviance
Retrieve the Mean Residual Deviance value
Loads previously saved grid with all it's models from the same folder
Basic Imputation of H2O Vectors
Column names of an H2OFrame
Find synonyms using a word2vec model.
Compute a pairwise distance measure between all rows of two numeric H2OFrames.
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.
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.
Fit a generalized linear model
Generalized low rank decomposition of an H2O data frame
Download the model in MOJO format.
Build gradient boosted classification or regression trees
H2O Median
Get h2o version
H2O Apply Conditional Statement
Trains an Isolation Forest model
Export an H2O Data Frame (H2OFrame) to a File or to a collection of Files.
Compute the exponential function of x
Import Files into H2O
H2O Prediction from R without having H2O running
Performs k-means clustering on an H2O dataset
Convert Milliseconds to Hour of Day in H2O Datasets
Get back-end distributed key/value store id from an H2OFrame.
Retrieve the GINI Coefficcient
Converts a frame to key-value representation while optionally skipping NA values.
Inverse operation to h2o.pivot.
Retrieve an H2O Connection
Merge Two H2O Data Frames
Search for matches to an argument pattern
Method on Keyed
objects allowing to obtain their key.
Check if numeric
Compute A Histogram
Get an R object that is a subclass of '>H2OAutoML Produce a k-fold column vector.
h2o.find_row_by_threshold
Find the threshold, give the max metric. No duplicate thresholds allowed
Dump the stack into the JVM's stdout.
Partial Dependence Plots
h2o.find_threshold_by_max_metric
Find the threshold, give the max metric
Check if character
Initialize and Connect to H2O
List Keys on an H2O Cluster
Plot Standardized Coefficient Magnitudes
Get the types-per-column
Get the Time Zone on the H2O cluster
Returns a string
Retrieve the Log Loss Value
Print An H2OFrame
Group and Apply by Column
Retrieves Mean Squared Error Value
Compute the log2 of x
Return the number of columns present in x.
View Network Traffic Speed
Delete Columns from an H2OFrame
Remove All Objects on the H2O Cluster
Remove Rows With NAs
Returns the maxima of the input values.
Model Performance Metrics in H2O
Return the product of all the values present in its arguments.
Count of NAs per column
Return the number of rows present in x.
Check if factor
Retrieve the residual deviance
Returns a vector containing the minimum and maximum of all the given arguments.
Retrieve the number of iterations.
Compute naive Bayes probabilities on an H2O dataset.
Retrieve the null degrees of freedom
Build a Random Forest model
String Global Substitute
Kurtosis of a column
Return the levels from the column requested column.
Start Writing H2O R Logs
Log a message on the server-side logs
Saves an existing Grid of models into a given folder.
Retrieves Root Mean Squared Error Value
Delete Objects In H2O
Retrieve the residual degrees of freedom
Enable Progress Bar
Retrieve the Root Mean Squared Log Error
Load H2O Model from HDFS or Local Disk
Imports a MOJO under given path, creating a Generic model with it.
Import Hive Table into H2O
Set betas of an existing H2O GLM Model
Count of substrings >= 2 chars that are contained in file
Creates a new Amazon S3 client internally with specified credentials.
Produce a Vector of Random Uniform Numbers
Compute the hyperbolic tangent of x
Insert Missing Values into an H2OFrame
Categorical Interaction Feature Creation in H2O
Strip set from left
Compute the logarithm of x
List all of the Time Zones Acceptable by the H2O cluster.
List all H2O registered extensions
Compute the log10 of x
Retrieve the mean per class error
Compute the frame's mean by-column (or by-row).
Compute the log1p of x
Retrieve the Mean Absolute Error Value
Compute msec since the Unix Epoch
Stop Writing H2O R Logs
H2O Prediction from R without having H2O running
Shut Down H2O Instance
Display the structure of an H2OFrame object
Use H2O Transformation model and apply the underlying transformation
Set the Time Zone on the H2O cluster
Convert Milliseconds to Months in H2O Datasets
Column names of an H2OFrame
Pivot a frame
Standard Deviation of a column of data.
String length
Compute the frame's sum by-column (or by-row).
Summarizes the columns of an H2OFrame.
Disable Progress Bar
H2O Data Parsing
Replicate Elements of Vectors or Lists into H2O
Returns the minima of the input values.
Get the number of factor levels for this frame.
H2O Model Metric Accessor Functions
Convert Milliseconds to Week of Week Year in H2O Datasets
Retrieve the null deviance
Convert Archetypes to Features from H2O GLRM Model
Principal component analysis of an H2O data frame
Is H2O Frame object
Edgar Anderson's Iris Data
Apply Target Encoding Map to Frame
Trains a Support Vector Machine model on an H2O dataset
View H2O R Logs
Create Target Encoding Map
Get a parse setup back for the staged data.
Predict on an H2O Model
Convert strings to lowercase
Strip set from right
Retrieve the R2 value
H2O topN
String Split
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 Unique
H2O Prediction from R without having H2O running
Reorders levels of an H2O factor, similarly to standard R's relevel.
Reconstruct Training Data via H2O GLRM Model
staged_predict_proba.H2OModel
Predict class probabilities at each stage of an H2O Model
Deprecated API. Please use h2o.targetencoder model instead.
Combine H2O Datasets by Rows
Save an H2O Model Object as Mojo to Disk
Imports a MOJO from a local filesystem, creating a Generic model with it.
Transform words (or sequences of words) to vectors using a word2vec 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.)
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.)
Retrieve Model Score History
Variance of a column or covariance of columns.
Check if character
Retrieve the standard deviations of principal components
Scaling and Centering of an H2OFrame
Set Levels of H2O Factor Column
Compute element-wise string distances between two H2OFrames
Round doubles/floats to the given number of decimal places.
Cross Tabulation and Table Creation in H2O
Save an H2O Model Object to Disk
Round doubles/floats to the given number of significant digits.
Save an H2O Model Details
Singular value decomposition of an H2O data frame using the power method
Skewness of a column
Which indices are TRUE?
Compute the sine of x
Build an eXtreme Gradient Boosting model
Split an H2O Data Set
Print method for H2OTable objects
Check if factor
Determines whether an XGBoost model can be built
Display the structure of an H2OFrame object
predict_leaf_node_assignment.H2OModel
Predict the Leaf Node Assignment on an H2O Model
Print An H2OFrame
Plot an H2O Tabulate Heatmap
String Substitute
Substring
H2O Segmented-Data Bulk Model Training
Convert a word2vec model into an H2OFrame
h2o.transform,H2OWordEmbeddingModel-method
Transform words (or sequences of words) to vectors using a word2vec model.
Predict on an AutoML object
Tokenize String
Plot Variable Importances
h2o.transform,H2OTargetEncoderModel-method
Applies target encoding to a given dataset
Tabulation between Two Columns of an H2OFrame
Builds a Stacked Ensemble
Compute the square root of x
Format grid object in user-friendly way
summary,H2OCoxPHModel-method
Summary method for H2OCoxPHModel objects
h2o.target_encode_transform
Deprecated API. Please use h2o.targetencoder model instead.
Transform Frame by Target Encoding Map
Which indice contains the max value?
Compute the tangent of x
Truncate values in x toward 0
Convert Milliseconds to Years in H2O Datasets
United States Congressional Voting Records 1984
Check if numeric
Range of an H2O Column
Retrieve the respective weight matrix
Transformation of a categorical variable with a mean value of the target variable
Convert strings to uppercase
Retrieve the variable importance.
Get the total sum of squares.
Get the total within cluster sum of squares.
Column names of an H2OFrame
Trim Space
Get the Within SS
Which index contains the min value?
Scaling and Centering of an H2OFrame
Overrides the behavior of length() function on H2OTree class. Returns number of nodes in an H2OTree
Trains a word2vec model on a String column of an H2O data frame
Print the Model Summary
Muscular Actuations for Walking Subject
Plot an H2O Model
Use optional package
predict_contributions.H2OModel
Predict feature contributions - SHAP values on an H2O Model (only GBM and XGBoost models).
Predict on an H2O Model
Shutdown H2O cluster after examples run
Prostate Cancer Study
The H2OCoxPHModel object.
S3 Group Generic Functions for H2O
H2O Grid
The H2OClusteringModel object.
The H2OAutoML class
The H2OConnection class.
The H2OFrame class
Extract or Replace Parts of an H2OFrame Object
Model Metrics Endpoint
H2OConnectionMutableState
The H2OConnectionMutableState class