H2OAutoEncoderModel-class

H2OBinomialModel-class

H2ODimReductionModel-class

H2OModel

H2OModel-class

H2OMultinomialModel-class

H2ORegressionModel-class

H2OUnknownModel-class

show,H2OModel-method

object


This virtual class represents a model built by H2O.


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

H2OModel-class function

 <dl>
<dt><code>model_id</code></dt><dd>A <code>character</code> string specifying the key for the model fit in the H2O cloud's key-value store.</dd> <dt><code>algorithm</code></dt><dd>A <code>character</code> string specifying the algorithm that were used to fit the model.</dd> <dt><code>parameters</code></dt><dd>A <code>list</code> containing the parameter settings that were used to fit the model that differ from the defaults.</dd> <dt><code>allparameters</code></dt><dd>A <code>list</code> containg all parameters used to fit the model.</dd> <dt><code>model</code></dt><dd>A <code>list</code> containing the characteristics of the model returned by the algorithm.</dd> </dl>

Slots

The H2OModel object.

H2OModel-class: The H2OModel object.

Description

Usage

Arguments

Slots

Details