DIterator: Iterator over a Subset object

In D2MCS: Data Driving Multiple Classifier System

Iterator over a Subset object

Description

Creates a DIterator object to iterate over the Subset.

Methods

Public methods

• DIterator$new()

• DIterator$getNext()

• DIterator$isLast()

• DIterator$finalize()

• DIterator$clone()

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Method new()

Method for initializing the object arguments during runtime.

Usage

DIterator$new(data, chunk.size, verbose)

Arguments

data

A data.frame structure to be iterated.

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.

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Method getNext()

Gets the next chunk of data. Each iteration returns the same instances (data.frame rows) as chunk.size. However, if remaining data if less than chunk size, all the remaining data is returned. Conversely, NULL when there is no more pending data. By default chunk.size is defined as 10000.

Usage

DIterator$getNext()

Returns

A data.frame of NULL if all the data have been previously returned.

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Method isLast()

Checks if the DIterator object reached the end of the data.frame

Usage

DIterator$isLast()

Returns

A logical value indicating if the end of data.frame has been reached.

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Method finalize()

Destroys the DIterator object.

Usage

DIterator$finalize()

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Method clone()

The objects of this class are cloneable with this method.

Usage

DIterator$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

See Also

Dataset

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