H2ODeepLearningGrid-class

Object representing the models built by a H2O Deep Learning neural networks grid search.

classes

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

H2O R Interface

H2ODeepLearningGrid-class function

Objects can be created by calls of the form <code>new("H2ODeepLearningGrid", ...)</code>.

Objects from the Class

Class <code>"<links4class>H2OGrid</links4class>"</code>, directly.

Extends

No methods defined with class "H2ODeepLearningGrid" in the signature.

H2ODeepLearningGrid-class: Class `"H2ODeepLearningGrid"`

Description

Arguments

Objects from the Class

Extends

Methods

See Also

Examples