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Add latest dependencies in skrobot
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echatzikyriakidis committed Jul 23, 2020
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6 changes: 2 additions & 4 deletions README.md
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[![Python](https://img.shields.io/badge/python-3.6%20%7C%203.7-blue?style=plastic)](https://pypi.org/project/skrobot/)
[![PyPI](https://img.shields.io/badge/pypi_package-1.0.4-blue?style=plastic)](https://pypi.org/project/skrobot/)
[![Python](https://img.shields.io/badge/python-3.6%20%7C%203.7%20%7C%203.8-blue?style=plastic)](https://pypi.org/project/skrobot/)
[![PyPI](https://img.shields.io/badge/pypi_package-1.0.5-blue?style=plastic)](https://pypi.org/project/skrobot/)
[![License](https://img.shields.io/badge/license-MIT-blue?style=plastic)](https://github.com/medoidai/skrobot/blob/master/LICENSE.txt)
[![Status](https://img.shields.io/badge/status-stable-green?style=plastic)](https://pypi.org/project/skrobot/)

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* Add support in the module for multiclass, regression and multitarget problems

* Support Python 3.8

* Build some notifiers (e.g., Slack, Trello and Discord)

* Add Bayesian hyperparameter tuning support
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4 changes: 4 additions & 0 deletions RELEASE.md
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# 1.0.5

* Support Python 3.8

# 1.0.4

* PredictionTask class is added
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19 changes: 10 additions & 9 deletions setup.py
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setup(
name='skrobot',
version='1.0.4',
version='1.0.5',
license='MIT',
author="Medoid AI",
author_email="info@medoid.ai",
description="skrobot is a Python module for designing, running and tracking Machine Learning experiments / tasks. It is built on top of scikit-learn framework.",
long_description=readme,
platforms=['any'],
download_url='https://github.com/medoidai/skrobot/archive/1.0.4.tar.gz',
download_url='https://github.com/medoidai/skrobot/archive/1.0.5.tar.gz',
long_description_content_type='text/markdown',
url="https://github.com/medoidai/skrobot",
python_requires='>=3.6',
install_requires=['scikit-learn==0.21.3',
'joblib==0.13.2',
'numpy==1.16.4',
'pandas==0.24.2',
'numpyencoder==0.1.0',
'plotly==4.3.0',
install_requires=['scikit-learn==0.23.1',
'joblib==0.16.0',
'numpy==1.19.1',
'pandas==1.0.5',
'numpyencoder==0.2.0',
'plotly==4.9.0',
'stringcase==1.2.0',
'scikit-plot==0.3.7',
'matplotlib==3.1.0'],
'matplotlib==3.3.0'],
packages=find_packages(),
classifiers=[
"Development Status :: 5 - Production/Stable",
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"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.6",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
"Topic :: Scientific/Engineering",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Environment :: Console"]
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