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nestordemeure committed Mar 21, 2020
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1 change: 0 additions & 1 deletion README.md
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## TODO

- submit to pip
- add a DOI for ease of quote in papers
- converts to fastai V2 when it gets out of alpha

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2 changes: 1 addition & 1 deletion examples/readme.md
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- **[basic usage](https://github.com/nestordemeure/tabularGP/blob/master/examples/1_basic_usage.ipynb)** using a gaussian process for regression or classification (with uncertainty estimation)
- **[kernel selection](https://github.com/nestordemeure/tabularGP/blob/master/examples/2_kernel_selection.ipynb)** choosing an appropriate kernel to improve the fit and transfering knowledge from a task to another
- **[prior selection](https://github.com/nestordemeure/tabularGP/blob/master/examples/3_prior_selection.ipynb)** choosing an appropriate prior and using another model as a prior
- **[prior selection](https://github.com/nestordemeure/tabularGP/blob/master/examples/3_prior_selection.ipynb)** choosing an appropriate prior and using an arbitrary model as a prior
- **[feature importance](https://github.com/nestordemeure/tabularGP/blob/master/examples/4_feature_importance.ipynb)** determining the features that matter to your model
- **[advanced usage](https://github.com/nestordemeure/tabularGP/blob/master/examples/5_advanced_usage.ipynb)** details the advanced parameters which can be used to further improve the fit

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2 changes: 2 additions & 0 deletions setup.cfg
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[metadata]
description-file = README.md
28 changes: 28 additions & 0 deletions setup.py
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from distutils.core import setup

setup(
name = 'tabularGP',
packages = ['tabularGP'],
version = '1.0',
license='apache-2.0',
description = 'Use gaussian processes on tabular data as a drop-in replacement for neural networks',
author = 'NestorDemeure',
# author_email = 'your.email@domain.com',
url = 'https://github.com/nestordemeure/tabularGP',
download_url = 'https://github.com/nestordemeure/tabularGP/archive/v_1.tar.gz',
keywords = ['gaussian-processes', 'tabular-data', 'deep-learning', 'pytorch', 'fastai'],
install_requires=[
'numpy',
'pandas',
'torch',
'fastai',
],
classifiers=[ # https://pypi.org/classifiers/
'Development Status :: 4 - Beta',
'Intended Audience :: Developers',
'Intended Audience :: Science/Research',
'Topic :: Scientific/Engineering :: Artificial Intelligence',
'License :: OSI Approved :: Apache Software License',
'Programming Language :: Python :: 3 :: Only',
],
)
1 change: 1 addition & 0 deletions tabularGP/__init__.py
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from tabularGP.tabularGP import *
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