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