Multi-Label Processor

Processor for multi-label classification. Converts a list of active labels into a one-hot tensor with multiple 1s. Inherits from FeatureProcessor.

Super classes

RHealth::Processor -> RHealth::FeatureProcessor -> MultiLabelProcessor

Public fields

label_vocab

A named integer vector mapping label values to index positions.

Methods

Public methods

• MultiLabelProcessor$new()

• MultiLabelProcessor$fit()

• MultiLabelProcessor$process()

• MultiLabelProcessor$size()

• MultiLabelProcessor$print()

• MultiLabelProcessor$clone()

Inherited methods

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

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Method new()

Constructor that initializes the vocabulary.

Usage

MultiLabelProcessor$new()

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Method fit()

Fit the processor from all multi-label lists across samples.

Usage

MultiLabelProcessor$fit(samples, field)

Arguments

samples

A list of named lists (sample records).

field

The name of the multi-label field.

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Method process()

Process a list of active labels into a one-hot float tensor.

Usage

MultiLabelProcessor$process(value)

Arguments

value

A character or numeric vector of active labels.

Returns

A torch tensor of shape num_classes with 0s and 1s.

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Method size()

Return number of classes.

Usage

MultiLabelProcessor$size()

Returns

Integer.

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Method print()

Print a summary of the processor.

Usage

MultiLabelProcessor$print(...)

Arguments

...

Ignored.

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Method clone()

The objects of this class are cloneable with this method.

Usage

MultiLabelProcessor$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.