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The code is adapted from cleanlab v1 examples (see `contrib/v1` folder).
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This example demonstrates how to wrap a Fasttext model to be sklearn-compatible for direct compatibility with `cleanlab.classification`. The wrapper code is in **fasttext_wrapper.py** and the notebook demonstrates how to apply it to a text classification dataset.
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## Instructions
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@@ -20,4 +16,4 @@ Run bash script below to download all the data.
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$ bash ./download_data.sh
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```
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Start Jupyter Lab and run the notebook: `fasttext_amazon_reviews.ipynb`
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Start Jupyter and run the notebook: `fasttext_amazon_reviews.ipynb`
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