Interpretable Text Classification: Probing Scikit-LLM Embedding Spaces
中文摘要
中文：通过探测分类器、UMAP和SHAP，探索Scikit-LLM嵌入空间，解析文本分类的质量。
English Summary
English: Explore Scikit-LLM embedding spaces with probing classifiers, UMAP, and SHAP to interpret text classification quality.
Original Excerpt
In this article, you will learn how to use probing classifiers, UMAP visualization, and SHAP values to interpret and analyze the quality of text embeddings...