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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.

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Bumps [ini](https://github.com/isaacs/ini) from 1.3.5 to 1.3.8. Commits a2c5da8 1.3.8 af5c6bb Do not use Object.create(null) 8b648a1 don't test where our devdeps don't even work c74c8af 1.3.7 024b8b5 update deps, add linting...

dependencies

The document mentioned that we can pass any linear or tree model to ClassicTreeExplainer. All code works smoothly if we use the classifier from interpret-text, however, if we train a...

I'm running the notebook: https://github.com/interpretml/interpret-text/blob/master/notebooks/text_classification/text_classification_unified_information_explainer.ipynb I am expecting a dashboard but I see this : ![image](https://user-images.githubusercontent.com/18382570/93762082-89454400-fc2c-11ea-9709-be5f3c07f466.png) I tried some suggestions on StackOverflow and also this one : https://github.com/interpretml/interpret-text/issues/142 , but...

I am following the [Text Classification of MultiNLI Sentences using BERT](https://nbviewer.jupyter.org/github/interpretml/interpret-text/blob/master/notebooks/text_classification/text_classification_unified_information_explainer.ipynb) notebook to interpret BERT classification work. When I changed the line `LANGUAGE = Language.ENGLISH` to `LANGUAGE = Language.CHINESE`, indicating...

The link for downloading data for the examples seems to be broken. https://github.com/interpretml/interpret-text/blob/be4f9c834608467473e9d3ca8dec1221cf2ff7ba/notebooks/test_utils/utils_mnli.py#L17 This link now redirects to Sam Bowman's homepage.

Bumps [http-proxy](https://github.com/http-party/node-http-proxy) from 1.18.0 to 1.18.1. Changelog Sourced from http-proxy's changelog. v1.18.1 - 2020-05-17 Merged Skip sending the proxyReq event when the expect header is present [#1447](https://github.com/http-party/node-http-proxy/issues/1447) Remove node6 support,...

dependencies

New to interpret text. Failed to run the first cell. Where can I get the module interpret_text?

The Windows builds in the new pipelines are several times slower than the Linux and MacOS ones. This needs to be investigated.

bug