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Prepare release 0.14.0 (#985)
Release text: This release offers a new interface for scikit-learn to do zero-shot and few-shot classification using open source large language models (Jump right into the example notebook). skorch.llm.ZeroShotClassifier and skorch.llm.FewShotClassifier allow the user to do classification using open-source language models that are compatible with the huggingface generation interface. This allows you to do all sort of interesting things in your pipelines. From simply plugging a LLM into your classification pipeline to get preliminary results quickly, to using these classifiers to generate training data candidates for downstream models. This is a first draft of the interface, therefore it is not unlikely that the interface will change a bit in the future, so please, let us know about any potential issues you have. Other items of this release are - the drop of Python 3.7 support - this version of Python has reached EOL and will not be supported anymore - the NeptuneLogger now logs the skorch version thanks to AleksanderWWW - NeuralNetRegressor can now be fitted with 1-dimensional y, which is necessary in some specific circumstances (e.g. in conjunction with sklearn's BaggingRegressor, see sklearn.ensemble.BaggingRegressor() #972); for this to work correctly, the output of the of the PyTorch module should also be 1-dimensional; the existing default, i.e. having y and y_pred be 2-dimensional, remains the recommended way of using NeuralNetRegressor
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and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
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## [Unreleased]
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## [0.14.0] - 2023-06-24
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[0.12.0]: https://github.com/skorch-dev/skorch/compare/v0.11.0...v0.12.0
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[0.12.1]: https://github.com/skorch-dev/skorch/compare/v0.12.0...v0.12.1
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[0.13.0]: https://github.com/skorch-dev/skorch/compare/v0.12.1...v0.13.0
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[0.14.0]: https://github.com/skorch-dev/skorch/compare/v0.13.0...v0.14.0

VERSION

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0.13.1dev
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0.14.0

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