D2MCS (version 1.0.1)

Subset: Classification set.

Description

The Subset is used for testing or classification purposes. If a target class is defined the Subset can be used as test and classification, otherwise the Subset only classification is compatible.

Methods

Public methods

• Subset$new()

• Subset$getColumnNames()

• Subset$getFeatures()

• Subset$getID()

• Subset$getIterator()

• Subset$getClassValues()

• Subset$getClassBalance()

• Subset$getClassIndex()

• Subset$getClassName()

• Subset$getNcol()

• Subset$getNrow()

• Subset$getPositiveClass()

• Subset$isBlinded()

---

Method new()

Method for initializing the object arguments during runtime.

Usage

Subset$new(
  dataset,
  class.index = NULL,
  class.values = NULL,
  positive.class = NULL,
  feature.id = NULL
)

Arguments

dataset

A fully filled data.frame.

class.index

A numeric value identifying the column representing the target class

class.values

A character vector containing all the values of the target class.

positive.class

A character value representing the positive class value.

feature.id

A numeric value specifying the column number used as identifier.

---

Method getColumnNames()

Get the name of the columns comprising the subset.

Usage

Subset$getColumnNames()

Returns

A character vector containing the name of each column.

---

Method getFeatures()

Gets the values of all features or those indicated by arguments.

Usage

Subset$getFeatures(feature.names = NULL)

Arguments

feature.names

A character vector comprising the name of the features to be obtained.

Returns

A character vector or NULL if subset is empty.

---

Method getID()

Gets the column name used as identifier.

Usage

Subset$getID()

Returns

A character vector of size 1 of NULL if column id is not defined.

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Method getIterator()

Creates the DIterator object.

Usage

Subset$getIterator(chunk.size = private$chunk.size, verbose = FALSE)

Arguments

chunk.size

An integer value indicating the size of chunks taken over each iteration. By default chunk.size is defined as 10000.

verbose

A logical value to specify if more verbosity is needed.

Returns

A DIterator object to transverse through Subset instances.

---

Method getClassValues()

Gets all the values of the target class.

Usage

Subset$getClassValues()

Returns

A factor vector with all the values of the target class.

---

Method getClassBalance()

The function is used to compute the ratio of each class value in the Subset.

Usage

Subset$getClassBalance(target.value = NULL)

Arguments

target.value

The class value used as reference to perform the comparison.

Returns

A numeric value.

---

Method getClassIndex()

The function is used to obtain the index of the column containing the target class.

Usage

Subset$getClassIndex()

Returns

A numeric value.

---

Method getClassName()

The function is used to specify the name of the column containing the target class.

Usage

Subset$getClassName()

Returns

A character value.

---

Method getNcol()

The function is in charge of obtaining the number of columns comprising the Subset. See ncol for more information.

Usage

Subset$getNcol()

Returns

An integer of length 1 or NULL.

---

Method getNrow()

The function is used to determine the number of rows present in the Subset. See nrow for more information.

Usage

Subset$getNrow()

Returns

An integer of length 1 or NULL.

---

Method getPositiveClass()

The function returns the value of the positive class.

Usage

Subset$getPositiveClass()

Returns

A character vector of size 1 or NULL if not defined.

---

Method isBlinded()

The function is used to check if the Subset contains a target class.

Usage

Subset$isBlinded()

Returns

A logical value where TRUE represents the absence of target class and FALSE its presence.

Details

Use Dataset to ensure the creation of a valid Subset object.

See Also

Dataset, DatasetLoader, Trainset