The H2OCoxPHModel object.
H2O Future Model
H2OCoxPHModelSummary-class
The H2OCoxPHModelSummary object.
Logical or for H2OFrames
The H2OModelMetrics Object.
The H2OModel object.
The H2OClusteringModel object.
The H2OAutoML class
The H2OLeafNode class.
Accessor Methods for H2OModel Object
The H2OSplitNode class.
H2OConnectionMutableState
The H2OConnectionMutableState class
The H2OConnection class.
H2OSegmentModelsFuture-class
H2O Future Segment Models
The H2ONode class.
H2O Segment Models
Convert H2O Data to Numeric
Convert an H2OFrame to a matrix
A helper function that makes it easier to override/add params in a function call.
The H2OTree class.
as.data.frame.H2OSegmentModels
Converts a collection of Segment Models to a data.frame
Converts parsed H2O data into an R data frame
Logical and for H2OFrames
The H2OFrame class
Extract or Replace Parts of an H2OFrame Object
Starting H2O For examples
Virtual Keyed class
Returns the column names of an H2OFrame
Convert an H2OFrame to a vector
.find_appropriate_column_name
Tries to match a fuzzy_col_name
with a column name that exists in cols
.
S3 Group Generic Functions for H2O
H2OInfogram class
H2O Grid
Model Endpoint
wrapper function for instantiating H2OInfogram
.h2o.__checkConnectionHealth
Check H2O Server Health
Word2Vec Endpoints
Log and Echo Endpoint
.process_models_or_automl
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.
Australia Coastal Data
Column names of an H2OFrame
Get first of family models
Get feature count sorted by the count descending.
Perform a safe (i.e. error-checked) HTTP GET request to an H2O cluster.
H2O Package Constants
.h2o.__SEGMENT_MODELS_BUILDERS
Segment Models Builder Endpoint Generator
TODO: No objects in this file are being used. Either remove file or use objects.
Perform a safe (i.e. error-checked) HTTP POST request to an H2O cluster.
Apply on H2O Datasets
Returns the Dimensions of an H2OFrame
Get the algoritm used by the model_or_model_id
Import/Export Endpoints
Convert an H2OFrame to a String
Get a mapping between columns and their domains
Create H2OFrame
Convert H2O Data to Factors
Consolidate variable importances
Capabilities endpoints
Create a leaderboard like data frame for models
Export Files Endpoint Generator
Shortens model ids if possible (iff there will be same amount of unique model_ids as before)
Inspect/Summary Endpoints
Get variable importance in a standardized way.
Stop with a user friendly message if a user is missing the ggplot2 package or has an old version of it.
Helper Collapse Function
Decryption Endpoints
Rapids Endpoint
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
Check if Progress Bar is Enabled
Parse Endpoints
Min-max normalization.
Perform a low-level HTTP GET operation on an H2O instance
.is_plotting_to_rnotebook
Check if we are plotting in to r notebook.
Enhance leaderboard with per-model predictions.
Administrative Endpoints
H2OFrame Manipulation
Perform a low-level HTTP POST operation on an H2O instance
Return column names of an H2OFrame
Used to verify data, x, y and turn into the appropriate things
Is the model
an H2O model?
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.
Is the model
a Tree-based H2O Model?
Obtain a list of columns that are specified by `coltype`
Build an Aggregated Frame
Retrieve HGLM ModelMetrics
Get Model Ids
Retrieve the Akaike information criterion (AIC) value
Model Builder Endpoint Generator
Internal function that calculates a precise AUC from given
probabilities and actual responses.
Model Metrics Endpoint
Removal Endpoints
H2O <-> R Communication and Utility Methods
Map of operations known to H2O
Trains a Cox Proportional Hazards Model (CoxPH) on an H2O dataset
Retrieve the default AECU (Average Excess Cumulative Uplift = area between AUUC and random AUUC)
Compute the arc cosine of x
H2O R Interface
Just like doRawPOST but fills in the default h2oRestApiVersion if none is provided
Convert to quantiles when provided with numeric vector.
When col is a factor vector assign uniformly value between 0 and 1 to each level.
Just like doRawGET but fills in the default h2oRestApiVersion if none is provided
Has the model variable importance?
Check H2OFrame columns for factors
Compute the absolute value of x
Perform a REST API request to a previously connected server.
Given a set of logical vectors, are all of the values true?
Retrieve the all types of AECU (average excess cumulative uplift) value in a table
Convert H2O Data to Numerics
Anomaly Detection via H2O Deep Learning Model
Automatic Machine Learning
Retrieve the default AUUC
Rename an H2O object.
Is the model considered to be interpretable, i.e., simple enough.
Return the cumulative max over a column or across a row
Data H2OFrame Creation in H2O
The H2O Package Environment
Retrieve the Model Centers
feature_frequencies.H2OModel
Retrieve the number of occurrences of each feature for given observations
Available for GBM, Random Forest and Isolation Forest models.
Plot variable importances with ggplot2
Sorts an H2O frame by columns
CHeck to see if the column names/indices entered is valid for the dataframe given. This is an internal function
Convert H2O Data to Characters
Retrieve an aggregated frame from an Aggregator model
Setup a Decryption Tool
Return the cumulative min over a column or across a row
Split H2O Dataset, Apply Function, and Return Results
h2o.cross_validation_models
Retrieve the cross-validation models
H2O Description of A Dataset
h2o.cross_validation_predictions
Retrieve the cross-validation predictions
Generate Model Explanations for a single row
Export an H2O Data Frame (H2OFrame) to a File or to a collection of Files.
Convert H2O Data to Factors
Get the between cluster sum of squares
Retrieve the all types of AUUC in a table
Print H2O cluster info
H2O bottomN
Retrieve the cluster sizes
Convert between character representations and objects of Date class
Return the respective bias vector
Return the status of the cluster
Compute the cosine of x
Export a Model to HDFS
Compute the hyperbolic cosine of x
Determine if an H2O cluster is up or not
Retrieve the Model Centers STD
H2O ANOVAGLM is used to calculate Type III SS which is used to evaluate the contributions of individual predictors
and their interactions to a model. Predictors or interactions with negligible contributions to the model will have
high p-values while those with more contributions will have low p-values.
Compute a pairwise distance measure between all rows of two numeric H2OFrames.
Download H2O Log Files to Disk
Retrieve centroid statistics
Delete All H2O R Logs
h2o.cross_validation_holdout_predictions
Retrieve the cross-validation holdout predictions
Cut H2O Numeric Data to Factor
h2o.cross_validation_fold_assignment
Retrieve the cross-validation fold assignment
Convert Milliseconds to Day of Month in H2O Datasets
Conduct a lag 1 transform on a numeric H2OFrame column
h2o.extendedIsolationForest
Trains an Extended Isolation Forest model
Build gradient boosted classification or regression trees
h2o.find_row_by_threshold
Find the threshold, give the max metric. No duplicate thresholds allowed
Return the cumulative product over a column or across a row
Get a grid object from H2O distributed K/V store.
Shannon entropy
Get an R reference to an H2O model
h2o.getGLMFullRegularizationPath
Extract full regularization path from a GLM model
Drops duplicated rows.
h2o.find_threshold_by_max_metric
Find the threshold, give the max metric
Return the cumulative sum over a column or across a row
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.
Retrieve the GINI Coefficcient
Check if numeric
Return the Head or Tail of an H2O Dataset.
Import SQL Table into H2O
Fit a generalized linear model
Basic Imputation of H2O Vectors
Trains an Isolation Forest model
Compute A Histogram
Compute the exponential function of x
Given a set of logical vectors, is at least one of the values true?
Download the model in MOJO format.
List all of the Time Zones Acceptable by the H2O cluster.
Take a single numeric argument and return a numeric vector with the largest integers
Open H2O Flow
Generate Model Explanations
Returns the number of rows and columns for an H2OFrame object.
Correlation of columns.
Connect to a running H2O instance.
Column names of an H2OFrame
Filter NA Columns
Find synonyms using a word2vec model.
List all H2O registered extensions
Access H2O Gains/Lift Tables
Get h2o version
Compute the log2 of x
Log a message on the server-side logs
Retrieve the AUC
Return the coefficients that can be applied to the non-standardized data.
Retrieve the AUCPR (Area Under Precision Recall Curve)
Take a single numeric argument and return a numeric vector with the smallest integers
Combine H2O Datasets by Columns
Return coefficients fitted on the standardized data (requires standardize = True, which is on by default). These coefficients can be used to evaluate variable importance.
Fit a General Additive Model
Compute weighted gram matrix.
Convert Milliseconds to Day of Week in H2O Datasets
Access H2O Confusion Matrices
Value Matching in H2O
Get an R object that is a subclass of '>H2OAutoML 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.
Download the Scoring POJO (Plain Old Java Object) of an H2O Model
Retrieve an H2O Connection
Extract the maximum lambda value used during lambda search from glm model.
Plot Individual Conditional Expectation (ICE) for each decile
Get the types-per-column
Get the Time Zone on the H2O cluster
Returns a string
Get best model of a given family/algorithm for a given criterion from an AutoML object.
H2O Apply Conditional Statement
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.
Returns the maxima of the input values.
Compute DCT of an H2OFrame
Feature Generation via H2O Deep Learning
Compute msec since the Unix Epoch
Return the number of columns present in x.
View Network Traffic Speed
Get the number of factor levels for this frame.
String length
H2O ModelSelection is used to build the best model with one predictor, two predictors, ... up to max_predictor_number
specified in the algorithm parameters when mode=allsubsets. The best model is the one with the highest R2 value. When
mode=maxr, the model returned is no longer guaranteed to have the best R2 value.
Get a parse setup back for the staged data.
Partial Dependence Plots
Build a Deep Neural Network model using CPUs
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.
Returns a vector containing the minimum and maximum of all the given arguments.
H2O Infogram
Retrieve actual number of trees for tree algorithms
String Global Substitute
Retrieves an instance of '>H2OSegmentModels for a given id. Calculates Friedman and Popescu's H statistics, in order to test for the presence of an interaction between specified variables in h2o gbm and xgb models.
H varies from 0 to 1. It will have a value of 0 if the model exhibits no interaction between specified variables and a correspondingly larger value for a
stronger interaction effect between them. NaN is returned if a computation is spoiled by weak main effects and rounding errors.
Import Hive Table into H2O
Produce a k-fold column vector.
List registered core extensions
Import Files into H2O
Method on Keyed
objects allowing to obtain their key.
List registered API extensions
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.
Initialize and Connect to H2O
Check if character
Check if factor
Feature interactions and importance, leaf statistics and split value histograms in a tabular form.
Available for XGBoost and GBM.
Imports a model under given path, creating a Generic model with it.
fillNA
Extract best alpha value found from glm model.
Get back-end distributed key/value store id from an H2OFrame.
Generalized low rank decomposition of an H2O data frame
Extract best lambda value found from glm model.
Return list of jobs performed by the H2O cluster
Get an list of all model ids present in the cluster
Compute the log10 of x
Loads previously saved grid with all it's models from the same folder
Dump the stack into the JVM's stdout.
H2O Grid Support
Kolmogorov-Smirnov metric for binomial models
Group and Apply by Column
Kurtosis of a column
Search for matches to an argument pattern
Performs k-means clustering on an H2O dataset
h2o.get_best_model_predictors
Extracts the subset of predictor names that yield the best R2 value for each predictor subset size.
Retrieve the Hit Ratios
Compute the log1p of x
Converts a frame to key-value representation while optionally skipping NA values.
Inverse operation to h2o.pivot.
Remove Rows With NAs
Retrieve the Mean Absolute Error Value
Returns the minima of the input values.
H2O Model Metric Accessor Functions
Strip set from left
Merge Two H2O Data Frames
Retrieve the null deviance
Column names of an H2OFrame
Compute naive Bayes probabilities on an H2O dataset.
Count of NAs per column
Retrieve the null degrees of freedom
Principal component analysis of an H2O data frame
Retrieves Root Mean Squared Error Value
Scree Plot
Standard Deviation of a column of data.
Retrieve the Root Mean Squared Log Error
Print An H2OFrame
Execute a Rapids expression.
Return the product of all the values present in its arguments.
Combine H2O Datasets by Rows
Start Writing H2O R Logs
Convert Milliseconds to Hour of Day in H2O Datasets
Insert Missing Values into an H2OFrame
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.
Categorical Interaction Feature Creation in H2O
Plot Standardized Coefficient Magnitudes
H2O Prediction from R without having H2O running
Predict on an H2O Model
Saves an existing Grid of models into a given folder.
Round doubles/floats to the given number of significant digits.
Save an H2O Model Object to Disk
Remove All Objects on the H2O Cluster
Save contents of this data frame into a Hive table
Evaluates validity of the given rules on the given data. Returns a frame with a column per each input rule id,
representing a flag whether given rule is applied to the observation or not.
Delete Columns from an H2OFrame
Set the Time Zone on the H2O cluster
Scaling and Centering of an H2OFrame
Create Model Metrics from predicted and actual values in H2O
Load H2O Model from HDFS or Local Disk
Set betas of an existing H2O GLM Model
Compute the sine of x
Learning Curve Plot
Singular value decomposition of an H2O data frame using the power method
Creates a new Amazon S3 client internally with specified credentials.
Cross Tabulation and Table Creation in H2O
Get the total sum of squares.
Convert strings to uppercase
Compute the frame's sum by-column (or by-row).
Compute the hyperbolic tangent of x
Apply Target Encoding Map to Frame
Summarizes the columns of an H2OFrame.
Get an R Reference to an H2O Dataset, that will NOT be GC'd by default
Load frame previously stored in H2O's native format.
Return the levels from the column requested column.
h2o.model_correlation_heatmap
Model Prediction Correlation Heatmap
Model Prediction Correlation
Compute the logarithm of x
Variance of a column or covariance of columns.
Imports a MOJO from a local filesystem, creating a Generic model with it.
Which indice contains the max value?
Which index contains the min value?
Display the structure of an H2OFrame object
Stop Writing H2O R Logs
Compute the frame's mean by-column (or by-row).
Retrieve the mean per class error
h2o.multinomial_auc_table
Retrieve the all AUC values in a table (One to Rest, One to One, macro and weighted average)
for mutlinomial classification.
Create Target Encoding Map
Build an eXtreme Gradient Boosting model
Determines whether an XGBoost model can be built
Print the Model Summary
Disable Progress Bar
Extracts the best R2 values for all predictor subset size.
Get the total within cluster sum of squares.
predict_leaf_node_assignment.H2OModel
Predict the Leaf Node Assignment on an H2O Model
H2O topN
Check if character
Plot an H2O Tabulate Heatmap
Return the number of rows present in x.
h2o.permutation_importance_plot
Plot Permutation Variable Importances.
Plot an H2O Model
Retrieve the leaderboard from the AutoML instance.
Transformation of a categorical variable with a mean value of the target variable
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.)
Build a Uplift Random Forest model
h2o.multinomial_aucpr_table
Retrieve the all PR AUC values in a table (One to Rest, One to One, macro and weighted average)
for mutlinomial classification.
Count of substrings >= 2 chars that are contained in file
Retrieve the number of iterations.
Plot partial dependencies for a variable across multiple models
Quantiles of H2O Frames.
Pivot a frame
Retrieve the default Qini value
Plot partial dependence for a variable
Variable Importance Heatmap across multiple models
Format grid object in user-friendly way
Imports a MOJO under given path, creating a Generic model with it.
Plot Variable Importances
Reset model threshold and return old threshold value.
Save an H2O Model Details
h2o.residual_analysis_plot
Residual Analysis
Retrieve the residual deviance
Replicate Elements of Vectors or Lists into H2O
predict_contributions.H2OModel
Predict feature contributions - SHAP values on an H2O Model (only DRF, GBM, XGBoost models and equivalent imported MOJOs).
Check if factor
summary,H2OCoxPHModel-method
Summary method for H2OCoxPHModel objects
Format AutoML object in user-friendly way
Deprecated - use h2o.save_mojo instead. Save an H2O Model Object as Mojo to Disk
SHAP Summary Plot
Skewness of a column
h2o.shap_explain_row_plot
SHAP Local Explanation
Convert strings to lowercase
Prostate Cancer Study
Range of an H2O Column
H2O topBottomN
h2o.varimp,H2OFrame-method
Retrieve the variable importance.
h2o.varimp,H2OAutoML-method
Retrieve the variable importance.
String Substitute
Split an H2O Data Set
Import SQL table that is result of SELECT SQL query into H2O
Retrieve the respective weight matrix
initialize,H2OInfogram-method
Method on H2OInfogram
object which in this case is to instantiate and initialize it
Computes TF-IDF values for each word in given documents.
Substring
h2o.transform,H2OWordEmbeddingModel-method
Transform words (or sequences of words) to vectors using a word2vec model.
Convert Milliseconds to Week of Week Year in H2O Datasets
h2o.thresholds_and_metric_scores
Retrieve the thresholds and metric scores table
Use H2O Transformation model and apply the underlying transformation
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 Years in H2O Datasets
United States Congressional Voting Records 1984
Check Client Mode Connection
Is H2O Frame object
Column names of an H2OFrame
Edgar Anderson's Iris Data
Which indices are TRUE?
iSAX
List Keys on an H2O Cluster
Retrieve the Log Loss Value
h2o.mean_residual_deviance
Retrieve the Mean Residual Deviance value
H2O Median
H2O Prediction from R without having H2O running
H2O Prediction from R without having H2O running
Convert Milliseconds to Months in H2O Datasets
Plot an H2O Infogram
Convert Archetypes to Features from H2O GLRM Model
Trains a Support Vector Machine model on an H2O dataset
Model Performance Metrics in H2O
Retrieve the R2 value
View H2O R Logs
Retrieves Mean Squared Error Value
H2O Data Parsing
h2o.permutation_importance
Calculate Permutation Feature Importance.
Check if numeric
Reconstruct Training Data via H2O GLRM Model
Print An H2OFrame
Print method for H2OTable objects
Resume previously stopped grid training.
Reorders levels of an H2O factor, similarly to standard R's relevel.
Delete Objects In H2O
Store frame data in H2O's native format.
Scaling and Centering of an H2OFrame
Save an H2O Model Object as Mojo to Disk
Round doubles/floats to the given number of decimal places.
Build a Random Forest model
Build a RuleFit Model
Strip set from right
Produce a Vector of Random Uniform Numbers
Retrieve Model Score History
Format AutoML object in user-friendly way
Set Levels of H2O Factor Column
Retrieve the standard deviations of principal components
Enable Progress Bar
Shut Down H2O Instance
String Split
Compute element-wise string distances between two H2OFrames
Tabulation between Two Columns of an H2OFrame
Compute the tangent of x
Transform words (or sequences of words) to vectors using a word2vec model.
Trim Space
Retrieve the variable importance.
h2o.varimp,H2OModel-method
Retrieve the variable importance.
Get the Within SS
Builds a Stacked Ensemble
Compute the square root of x
Retrieve GLM Model Score History buried in GAM model
Convert a word2vec model into an H2OFrame
Muscular Actuations for Walking Subject
Predict on an AutoML object
Predict on an H2O Model
Trains a word2vec model on a String column of an H2O data frame
Tokenize String
Use optional package
H2O Segmented-Data Bulk Model Training
h2o.transform,H2OTargetEncoderModel-method
Applies target encoding to a given dataset
H2O Unique
Truncate values in x toward 0
Overrides the behavior of length() function on H2OTree class. Returns number of nodes in an H2OTree
Needed to be able to memoise the models
staged_predict_proba.H2OModel
Predict class probabilities at each stage of an H2O Model
Display the structure of an H2OFrame object
Suppresses h2o progress output from expr
Shutdown H2O cluster after examples run