Quick start¶
XWhy currently provides two executable explanation workflows.
Explain an image classifier¶
Use ImageClassificationExplainer for a PyTorch image-classification model. The explainer estimates how image regions influence a selected prediction.
Open the image-classification tutorial
Explain an LLM response¶
Use LLMExplainer to perturb a text prompt, compare the resulting model responses, and estimate local token or word influence.
Do not use development interfaces as implemented explainers¶
TabularExplainer, TextExplainer, and PointCloudExplainer are currently public development interfaces whose explain() methods are not implemented.
Image-generation explainability is also under construction. The current Pix2PixExplainer class is an early interface within the broader image-generation and image-editing roadmap; it is not yet an executable workflow.
See the explainer status matrix before designing a workflow.