DefaultModelFit {D2MCS}

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()

Method new()

Method for initializing the object arguments during runtime.

Usage

DefaultModelFit$new()

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.

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.

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