.load_image_example

<p>This function is needed to cut down on package size. It reassembles the
explanation data.frame by attaching the image data to the saved data.frame</p>

internal

When building complex models, it is often difficult to explain why
the model should be trusted. While global measures such as accuracy are
useful, they cannot be used for explaining why a model made a specific
prediction. 'lime' (a port of the 'lime' 'Python' package) is a method for
explaining the outcome of black box models by fitting a local model around
the point in question an perturbations of this point. The approach is
described in more detail in the article by Ribeiro et al. (2016)
<arXiv:1602.04938>.

Thomas Pedersen

lime

Local Interpretable Model-Agnostic Explanations

Thomas Lin Pedersen

Micha<c3><ab>l Benesty

.load_image_example function

Load an example image explanation — .load_image_example

Load an example image explanation

.load_image_example: Load an example image explanation

Description

Usage

Arguments

Value