ExprsEnsemble-class: An S4 class to store multiple models

In tpq/exprso: Rapid Deployment of Machine Learning Algorithms

Description

An S4 class to store multiple models

Usage

## S4 method for signature 'ExprsEnsemble'
show(object)

## S4 method for signature 'ExprsEnsemble'
getFeatures(object, index)

## S4 method for signature 'ExprsEnsemble'
getWeights(object, index, ...)

Arguments

object	An ExprsArray, ExprsModel, ExprsPipeline, or ExprsEnsemble object.
index	A numeric scalar. The i-th model from which to retrieve features or weights. If missing, function will tabulate features or weights across all models.
...	For getWeights, optional arguments passed to glmnet::coef.cv.glmnet.

Methods (by generic)

• show: Method to show ExprsEnsemble object.

• getFeatures: Method to return features within an ExprsEnsemble model.

• getWeights: Method to return LASSO weights.

Slots

machs

Typically a list. Stores the models.

See Also

ExprsArray-class
ExprsModel-class
ExprsPipeline-class
ExprsEnsemble-class
ExprsPredict-class
MultiPredict-class
RegrsPredict-class

tpq/exprso documentation built on July 27, 2019, 8:44 a.m.