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  license: mit
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  license: mit
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+ # soft-search
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+
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+ [![Build Status](https://github.com/PugetSoundClinic-PIT/soft-search/workflows/CI/badge.svg)](https://github.com/PugetSoundClinic-PIT/soft-search/actions)
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+ [![Documentation](https://github.com/PugetSoundClinic-PIT/soft-search/workflows/Documentation/badge.svg)](https://PugetSoundClinic-PIT.github.io/soft-search)
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+
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+ searching for software promises in grant applications
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+
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+ ---
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+
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+ ## Installation
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+ **Stable Release:** `pip install soft-search`<br>
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+ **Development Head:** `pip install git+https://github.com/PugetSoundClinic-PIT/soft-search.git`
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+
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+ ## Quickstart
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+ ### Apply our Pre-trained Transformer
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+ ```python
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+ from soft_search import constants, nsf
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+ from soft_search.label import transformer
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+ df = nsf.get_nsf_dataset(
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+ "2016-01-01",
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+ "2017-01-01",
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+ dataset_fields=[constants.NSFFields.abstractText],
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+ )
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+ predicted = transformer.label(
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+ df,
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+ apply_column=constants.NSFFields.abstractText,
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+ )
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+ ```
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+
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+ ## Documentation
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+
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+ For full package documentation please visit [PugetSoundClinic-PIT.github.io/soft-search](https://PugetSoundClinic-PIT.github.io/soft-search).
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+
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+ ## Development
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+ See [CONTRIBUTING.md](CONTRIBUTING.md) for information related to developing the code.
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+ **MIT License**