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compboost (version 0.1.0)

LossAbsolute: Absolute loss for regression tasks.

Description

This loss can be used for regression with \(y \in \mathrm{R}\).

Format

S4 object.

Usage

LossAbsolute$new()
LossAbsolute$new(offset)

Arguments

offset [numeric(1)]

Numerical value which can be used to set a custom offset. If so, this value is returned instead of the loss optimal initialization.

Details

This class is a wrapper around the pure C++ implementation. To see the functionality of the C++ class visit https://schalkdaniel.github.io/compboost/cpp_man/html/classloss_1_1_absolute_loss.html.

Examples

Run this code
# NOT RUN {
# Create new loss object:
absolute.loss = LossAbsolute$new()
absolute.loss

# }

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