DefaultModelFit: Default model fitting implementation.

In D2MCS: Data Driving Multiple Classifier System

Default model fitting implementation.

Description

Creates a default recipe and formula objects used in model training stage.

Super class

D2MCS::GenericModelFit -> DefaultModelFit

Methods

Public methods

• DefaultModelFit$new()

• DefaultModelFit$createFormula()

• DefaultModelFit$createRecipe()

• DefaultModelFit$clone()

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Method new()

Method for initializing the object arguments during runtime.

Usage

DefaultModelFit$new()

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Method createFormula()

The function is responsible of creating a formula for M.L. model.

Usage

DefaultModelFit$createFormula(instances, class.name, simplify = FALSE)

Arguments

instances

A data.frame containing the instances used to create the recipe.

class.name

A character vector representing the name of the target class.

simplify

A logical argument defining whether the formula should be generated as simple as possible.

Returns

A formula object.

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Method createRecipe()

The function is responsible of creating a recipe with five operations over the data: step_zv, step_nzv, step_corr, step_center, step_scale

Usage

DefaultModelFit$createRecipe(instances, class.name)

Arguments

instances

A data.frame containing the instances used to create the recipe.

class.name

A character vector representing the name of the target class.

Details

This function is automatically invoked by D2MCS during model training stage.

Returns

An object of class recipe.

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Method clone()

The objects of this class are cloneable with this method.

Usage

DefaultModelFit$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

See Also

GenericModelFit, train

D2MCS documentation built on Aug. 23, 2022, 5:07 p.m.