h2o.xgboost.available

<p>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.</p>

R scripting functionality for H2O, the open source
math engine for big data that computes parallel distributed
machine learning algorithms such as generalized linear models,
gradient boosting machines, random forests, and neural networks
(deep learning) within various cluster environments.

Tom Kraljevic

R Interface for H2O

h2o.xgboost.available function

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. — h2o.xgboost.available

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.

h2o.xgboost.available: 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.

Description

Usage

Arguments