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