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README.md

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**Vampyr-MTL** is a machine learning python package inspired by [MALSAR](https://github.com/jiayuzhou/MALSAR) multi-task learning Matlab algorithm, combined with up-to-date multi-task learning researches and algorithm for public research purposes.
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## FunctionalityMarkdown Preview EnhancedMarkdown Preview Enhanced
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## [Demo](https://colab.research.google.com/drive/1SVMAEnu1Jk4ldvUqI5iuA7D1zlxXrLrr?usp=sharing)
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Demo for runing Clustered Multitask Learning algorithm with risk factor analysis, pls copy to your playground and do not ask for change authorizations
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## Functionality
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* Algorithms:
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- Multitask Binary Logistic Regression
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+ Hinge Loss
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- Cross Validation with k Folds:
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+ Cross validation with predefined k folds and scoring methods
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more see documentation [*Doc*](https://vampyr-mtl.readthedocs.io/en/latest/)
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more see [*Documentation*](https://vampyr-mtl.readthedocs.io/en/latest/)
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## Related Reseaches
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[Accelerated Gredient Method](https://arxiv.org/pdf/1310.3787.pdf)
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[Regularized Multi-task Learning](https://dl.acm.org/doi/pdf/10.1145/1014052.1014067)
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## Installation
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## Installation (test version)
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``pip install -i https://test.pypi.org/simple/ Vampyr-MTL-Max-JJ==0.0.5``
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## Dependency
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powered by Sphinx with Google comment style, compile with napoleon:
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```
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sphinx-apidoc -f -o docs/source Vampyr_MTL
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```
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```
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