interpret-text
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interpretml
A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard.
1. Setup build and test pipeline 2. Get tests to run faster 3. Restructure tests more like interpret-community
Hi experts, Install packages (Jupyter Widget) failed with the following error on Azure ML Compute Instance. Any workaround on this ? ```bash (interpret_gpu) azureuser@interpretml:/mnt/batch/tasks/shared/LS_root/mounts/clusters/interpretml/code/Users/keonabut/interpret-text/python$ jupyter nbextension install interpret_text.experimental.widget --py --sys-prefix...
This issue will remove duplicated "utils_bert" and other model code that is copied over from utils_nlp. Tasks: 1. identify duplicate utils_nlp/models code 2. add pip install nlp_recipes to setup 3....
review the usage for all true_y for all explainers in explain_local()
Looking through the API differences between interpret-text-contrib and intpret we found 3 explain_local calls in interpret-text-contrib: - def explain_local(self, input_text, abs_sum_to_one=False): - def explain_local(self, text: str, **kwargs) -> _create_local_explanation: -...
- Benchmark framework should capture the slowness
unified_information - predicted_labels introspect_rationale - hard_importances - preprocessor
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A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard.