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Commit 6f0349b9 authored by Luc Giffon's avatar Luc Giffon
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# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
# C extensions
*.so
# Distribution / packaging
.Python
env/
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
*.egg-info/
.installed.cfg
*.egg
# PyInstaller
# Usually these files are written by a python script from a template
# before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec
# Installer logs
pip-log.txt
pip-delete-this-directory.txt
# Unit test / coverage reports
htmlcov/
.tox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
# Translations
*.mo
*.pot
# Django stuff:
*.log
# Sphinx documentation
docs/_build/
# PyBuilder
target/
# DotEnv configuration
.env
# Database
*.db
*.rdb
# Pycharm
.idea
# VS Code
.vscode/
# Spyder
.spyproject/
# Jupyter NB Checkpoints
.ipynb_checkpoints/
# exclude data from source control by default
/data/
# Mac OS-specific storage files
.DS_Store
# vim
*.swp
*.swo
# Mypy cache
.mypy_cache/
LICENSE 0 → 100644
The MIT License (MIT)
Copyright (c) 2019, QARMA team
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
bolsonaro
==============================
Bolsonaro project of QARMA non-permanents: deforesting random forest using OMP.
Project Organization
------------
├── LICENSE
├── Makefile <- Makefile with commands like `make data` or `make train`
├── README.md <- The top-level README for developers using this project.
├── data
│ ├── external <- Data from third party sources.
│ ├── interim <- Intermediate data that has been transformed.
│ ├── processed <- The final, canonical data sets for modeling.
│ └── raw <- The original, immutable data dump.
├── models <- Trained and serialized models, model predictions, or model summaries
├── references <- Data dictionaries, manuals, and all other explanatory materials.
├── reports <- Generated analysis as HTML, PDF, LaTeX, etc.
│ └── figures <- Generated graphics and figures to be used in reporting
├── requirements.txt <- The requirements file for reproducing the analysis environment, e.g.
│ generated with `pip freeze > requirements.txt`
├── setup.py <- makes project pip installable (pip install -e .) so bolsonaro can be imported
├── bolsonaro <- Source code for use in this project.
├── __init__.py <- Makes bolsonaro a Python module
├── data <- Scripts to download or generate data (to store under `/data/*relevant directory*`)
│ └── make_dataset.py
├── models <- Scripts to create base models (to store under `/models`)
│ │
│ └── create_model.py
└── visualization <- Scripts to create exploratory and results oriented visualizations (to store under `/reports/figures`)
└── visualize.py
--------
<p><small>Project based on the <a target="_blank" href="https://drivendata.github.io/cookiecutter-data-science/">cookiecutter data science project template</a>. #cookiecutterdatascience</small></p>
Instal project
--------------
pip install -r requirements.txt
# local package
-e .
# external requirements
click
Sphinx
coverage
awscli
flake8
python-dotenv>=0.5.1
setup.py 0 → 100644
from setuptools import find_packages, setup
setup(
name='bolsonaro',
packages=find_packages(),
version='0.1.0',
description='Bolsonaro project of QARMA non-permanents: deforesting random forest using OMP.',
author='QARMA team',
license='MIT',
)
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