ExecutedModels: Handles training of M.L. models

In D2MCS: Data Driving Multiple Classifier System

Handles training of M.L. models

Description

Allows to manage the executed M.L. models.

Methods

Public methods

• ExecutedModels$new()

• ExecutedModels$getNames()

• ExecutedModels$getBest()

• ExecutedModels$add()

• ExecutedModels$exist()

• ExecutedModels$size()

• ExecutedModels$save()

• ExecutedModels$delete()

• ExecutedModels$clone()

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Method new()

Method for initializing the object arguments during runtime.

Usage

ExecutedModels$new(dir.path)

Arguments

dir.path

The location were the executed models will be saved.

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Method getNames()

The function is used to obtain the name of the ML model achieved the best performance during training stage.

Usage

ExecutedModels$getNames()

Returns

A character vector of length 1 of NULL if no ML model have been trained.

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Method getBest()

The function is responsible of returning the model achieving the best performance value during training stage.

Usage

ExecutedModels$getBest()

Returns

A Model object.

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Method add()

The function inserts a new model to the list of executed models.

Usage

ExecutedModels$add(model, keep.best = TRUE)

Arguments

model

A previously trained model (in Model object).

keep.best

A logical value to define the saving operation. If TRUE only saves the best model, otherwise all executed models are saved.

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Method exist()

The function is used to discern if a specific model has been executed previously.

Usage

ExecutedModels$exist(model.name)

Arguments

model.name

A character vector with the name of the model to check for existence.

Returns

A logical value. TRUE if the model exists and FALSE otherwise.

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Method size()

The function is used to compute the number of executed ML models.

Usage

ExecutedModels$size()

Returns

A numeric vector or size 1.

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Method save()

The function is responsible of saving the information of all executed models into a hidden file.

Usage

ExecutedModels$save()

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Method delete()

The function removes an specific model.

Usage

ExecutedModels$delete(model.name)

Arguments

model.name

A character vector with the name of the model to be removed.

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Method clone()

The objects of this class are cloneable with this method.

Usage

ExecutedModels$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

See Also

Model

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