SampleProcessor: Processor for sample-level transformations

Optional processor for transformations applied at the whole-sample level (e.g., normalizing an image+label pair).

Super class

RHealth::Processor -> SampleProcessor

Methods

Public methods

• SampleProcessor$process()

• SampleProcessor$clone()

Inherited methods

• RHealth::Processor$load()
• RHealth::Processor$save()

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Method process()

Abstract method: Process a single sample (a named list).

Usage

SampleProcessor$process(sample)

Arguments

sample

A named list representing one data sample.

Returns

A processed named list.

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Method clone()

The objects of this class are cloneable with this method.

Usage

SampleProcessor$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.