pipeline('sentiment-analysis', return_all_scores=True) # explain the model on two sample inputs explainer = shap.Explainer(model) shap_values = explainer(["What a great movie! ...if you have no taste."]) # visualize the first prediction's explanation for the POSITIVE output class shap....
Oh, also FOOF (https://blogs.sciencemag.org/pipeline/archives/2010/02/23/things_i_wont_work_with_dioxygen_difluoride)172.70.130.10912:39, 13 August 2021 (UTC) The explanation mentions carbonates as a notable exception to silicates, but sulfate minerals are widespread and economically important (...
importtransformersimportshap# load a transformers pipeline modelmodel=transformers.pipeline('sentiment-analysis',return_all_scores=True)# explain the model on two sample inputsexplainer=shap.Explainer(model)shap_values=explainer(["What a great movie! ...if you have no taste."])# visualize the fir...