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# http://editorconfig.org | ||
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root = true | ||
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[*] | ||
indent_style = space | ||
indent_size = 4 | ||
trim_trailing_whitespace = true | ||
insert_final_newline = true | ||
charset = utf-8 | ||
end_of_line = lf | ||
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[*.bat] | ||
indent_style = tab | ||
end_of_line = crlf | ||
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[LICENSE] | ||
insert_final_newline = false | ||
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[Makefile] | ||
indent_style = tab |
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# latex | ||
*.aux | ||
*.bbl | ||
*.blg | ||
*.out | ||
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# Byte-compiled / optimized / DLL files | ||
__pycache__/ | ||
*.py[cod] | ||
*$py.class | ||
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# C extensions | ||
*.so | ||
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# Distribution / packaging | ||
.Python | ||
env/ | ||
build/ | ||
develop-eggs/ | ||
dist/ | ||
downloads/ | ||
eggs/ | ||
.eggs/ | ||
lib/ | ||
lib64/ | ||
parts/ | ||
sdist/ | ||
var/ | ||
wheels/ | ||
*.egg-info/ | ||
.installed.cfg | ||
*.egg | ||
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# 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 | ||
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# Installer logs | ||
pip-log.txt | ||
pip-delete-this-directory.txt | ||
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# Unit test / coverage reports | ||
htmlcov/ | ||
.tox/ | ||
.coverage | ||
.coverage.* | ||
.cache | ||
nosetests.xml | ||
coverage.xml | ||
*.cover | ||
.hypothesis/ | ||
.pytest_cache/ | ||
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# Translations | ||
*.mo | ||
*.pot | ||
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# Django stuff: | ||
*.log | ||
local_settings.py | ||
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# Flask stuff: | ||
instance/ | ||
.webassets-cache | ||
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# Scrapy stuff: | ||
.scrapy | ||
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# Sphinx documentation | ||
docs/_build/ | ||
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# PyBuilder | ||
target/ | ||
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# Jupyter Notebook | ||
.ipynb_checkpoints | ||
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# pyenv | ||
.python-version | ||
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# celery beat schedule file | ||
celerybeat-schedule | ||
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# SageMath parsed files | ||
*.sage.py | ||
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# dotenv | ||
.env | ||
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# virtualenv | ||
.venv | ||
venv/ | ||
ENV/ | ||
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# Spyder project settings | ||
.spyderproject | ||
.spyproject | ||
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# Rope project settings | ||
.ropeproject | ||
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# mkdocs documentation | ||
/site | ||
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# mypy | ||
.mypy_cache/ |
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[submodule "docs/reveal.js"] | ||
path = docs/reveal.js | ||
url = https://github.com/hakimel/reveal.js |
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# Config file for automatic testing at travis-ci.org | ||
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language: python | ||
python: | ||
- 3.6 | ||
- 3.5 | ||
- 3.4 | ||
- 2.7 | ||
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# Command to install dependencies, e.g. pip install -r requirements.txt --use-mirrors | ||
install: pip install -U tox-travis | ||
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# Command to run tests, e.g. python setup.py test | ||
script: tox | ||
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# Getting Started | ||
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This document aims to help you to familiarize yourself with the project starter code so you can adapt it to your project. | ||
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You should have been assigned a project repository for your work. In the examples below, we'll assume the repository is called <https://github.com/tulane-cmps6730/sample-project>. This is where all your code will live. | ||
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## Installation | ||
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Your repository has been setup with a lot of starter code so you can up and running quickly. To use it, do the following: | ||
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1. Make sure you've completed all the course **Background Resources** listed on the [README](https://github.com/tulane-cmps6730/sample-project/blob/main/README.md). | ||
2. Clone your repo: `git clone https://github.com/nlp/sample-project` [use your project's repository name] | ||
3. Start a [virtual environment](https://virtualenv.pypa.io/en/stable/). | ||
- First, make sure you have virtual env installed. `pip install virtualenv` | ||
- Next, outside of the team repository, create a new virtual environment folder by `virtualenv nlp-virtual`. | ||
- Activate your virtual environment by `source nlp-virtual/bin/activate` | ||
- Now, when you install python software, it will be saved in your `nlp-virtual` folder, so it won't conflict with the rest of your system. | ||
4. Install your project code by | ||
``` | ||
cd sample-project # enter your project repository folder | ||
pip install -r requirements.txt | ||
python setup.py develop # install the code. | ||
``` | ||
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This may take a while, as all dependencies listed in the `requirements.txt` file will also be installed. By using the `develop` command (instead of `install`), any changes you make to your code will automatically be reflected without having to reinstall anything. | ||
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**Windows users**: if you're having troubles, try reading [this](http://timmyreilly.azurewebsites.net/python-flask-windows-development-environment-setup/). It looks like you will need to: | ||
- install `pip install virtualenvwrapper-win` | ||
- instead of `virtualenv nlp-virtual` above, do `mkvirtualenv nlp-virtual` | ||
- other students have also had luck starting environments with the command `py -3 -m venv env env\scripts\activate` | ||
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5. If everything worked properly, you should now be able to run your project's command-line tool by typing: | ||
``` | ||
nlp --help | ||
``` | ||
which should print | ||
``` | ||
Usage: nlp [OPTIONS] COMMAND [ARGS]... | ||
Console script for nlp. | ||
Options: | ||
--help Show this message and exit. | ||
Commands: | ||
dl-data Download training/testing data. | ||
stats Read the data files and print interesting statistics. | ||
train Train a classifier and save it. | ||
web Launch the flask web app | ||
``` | ||
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## Running the sample project | ||
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The sample project trains a very simple classifier to predict if a news headline comes from a liberal or conservative news source. Your project should be much more involved and interesting! This example is just to demonstrate the key steps required in the project. To run it: | ||
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1. `nlp dl-data`: This downloads the training data from Dropbox and saves it to `~/.nlp/headlines.csv`. The file looks like this: | ||
``` | ||
partisan,title | ||
1,"Democrats Still Can’t Accept Results Of The 2016 Election, Says John Davidson" | ||
0,How Conservative Media Outlets Are Covering Trump’s Impeachment | ||
1,Donald Trump at March for Life: ‘Every Child Is a Sacred Gift from God' | ||
``` | ||
Here, `partisan` is the class label (1: conservative, 0: liberal), and `title` is the headline. | ||
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2. `nlp stats`: This computes some simple stats over the data | ||
``` | ||
48187 rows | ||
label counts: | ||
1 27660 | ||
0 20527 | ||
Name: partisan, dtype: int64 | ||
``` | ||
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3. `nlp train`: This trains a classifier, reports cross-validation accuracy, and saves the classifier to `~/.nlp/clf.pkl` | ||
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``` | ||
precision recall f1-score support | ||
0 0.67 0.72 0.70 20527 | ||
1 0.78 0.74 0.76 27660 | ||
accuracy 0.73 48187 | ||
macro avg 0.73 0.73 0.73 48187 | ||
weighted avg 0.74 0.73 0.73 48187 | ||
top coef for conservative | ||
nolte 3.47 | ||
shapiro 3.07 | ||
pollak 3.01 | ||
8217 2.94 | ||
flashback 2.80 | ||
illegal immigrants 2.67 | ||
klavan 2.54 | ||
curl 2.37 | ||
fact check 2.30 | ||
fnc 2.30 | ||
top coef for liberal | ||
explained -4.04 | ||
headlines -2.04 | ||
x27 -2.02 | ||
staying -1.99 | ||
savior -1.95 | ||
controversial -1.92 | ||
biden denies -1.88 | ||
conservative media -1.88 | ||
schiff says -1.87 | ||
announced -1.82 | ||
``` | ||
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4. `nlp web`: This launches a Flask web server to demo the classifier. | ||
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``` | ||
read clf LogisticRegression(C=1, class_weight='balanced', max_iter=1000) | ||
read vec CountVectorizer(binary=True, min_df=5, ngram_range=(1, 3), stop_words='english') | ||
* Serving Flask app "nlp.app" (lazy loading) | ||
* Environment: production | ||
WARNING: This is a development server. Do not use it in a production deployment. | ||
Use a production WSGI server instead. | ||
* Debug mode: on | ||
* Running on http://0.0.0.0:5000/ (Press CTRL+C to quit) | ||
* Restarting with stat | ||
read clf LogisticRegression(C=1, class_weight='balanced', max_iter=1000) | ||
read vec CountVectorizer(binary=True, min_df=5, ngram_range=(1, 3), stop_words='english') | ||
* Debugger is active! | ||
* Debugger PIN: 128-371-422 | ||
``` | ||
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If you open your web browser and go to `http://0.0.0.0:5000/` you should see something like: | ||
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![web.png](web.png) | ||
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**Tips:** | ||
- Some web browsers will cache the page, which will sometimes make it hard to see the updates you make. You may have to force a refresh that ignores the cache (e.g. see [here for Chrome](https://superuser.com/questions/89809/how-to-force-refresh-without-cache-in-google-chrome)). |
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MIT License | ||
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Copyright (c) 2019, A Student | ||
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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: | ||
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The above copyright notice and this permission notice shall be included in all | ||
copies or substantial portions of the Software. | ||
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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. | ||
|
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include CONTRIBUTING.rst | ||
include HISTORY.rst | ||
include LICENSE | ||
include README.rst | ||
include nlp/app/templates/*.html | ||
include nlp/app/static/* | ||
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recursive-include tests * | ||
recursive-exclude * __pycache__ | ||
recursive-exclude * *.py[co] | ||
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recursive-include docs *.rst conf.py Makefile make.bat *.jpg *.png *.gif *.html *.css |
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.PHONY: clean clean-test clean-pyc clean-build help | ||
.DEFAULT_GOAL := help | ||
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define BROWSER_PYSCRIPT | ||
import os, webbrowser, sys | ||
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try: | ||
from urllib import pathname2url | ||
except: | ||
from urllib.request import pathname2url | ||
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webbrowser.open("file://" + pathname2url(os.path.abspath(sys.argv[1]))) | ||
endef | ||
export BROWSER_PYSCRIPT | ||
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define PRINT_HELP_PYSCRIPT | ||
import re, sys | ||
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for line in sys.stdin: | ||
match = re.match(r'^([a-zA-Z_-]+):.*?## (.*)$$', line) | ||
if match: | ||
target, help = match.groups() | ||
print("%-20s %s" % (target, help)) | ||
endef | ||
export PRINT_HELP_PYSCRIPT | ||
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BROWSER := python -c "$$BROWSER_PYSCRIPT" | ||
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help: | ||
@python -c "$$PRINT_HELP_PYSCRIPT" < $(MAKEFILE_LIST) | ||
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clean: clean-build clean-pyc clean-test ## remove all build, test, coverage and Python artifacts | ||
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clean-build: ## remove build artifacts | ||
rm -fr build/ | ||
rm -fr dist/ | ||
rm -fr .eggs/ | ||
find . -name '*.egg-info' -exec rm -fr {} + | ||
find . -name '*.egg' -exec rm -f {} + | ||
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clean-pyc: ## remove Python file artifacts | ||
find . -name '*.pyc' -exec rm -f {} + | ||
find . -name '*.pyo' -exec rm -f {} + | ||
find . -name '*~' -exec rm -f {} + | ||
find . -name '__pycache__' -exec rm -fr {} + | ||
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clean-test: ## remove test and coverage artifacts | ||
rm -fr .tox/ | ||
rm -f .coverage | ||
rm -fr htmlcov/ | ||
rm -fr .pytest_cache | ||
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lint: ## check style with flake8 | ||
flake8 nlp tests | ||
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test: ## run tests quickly with the default Python | ||
python setup.py test | ||
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test-all: ## run tests on every Python version with tox | ||
tox | ||
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coverage: ## check code coverage quickly with the default Python | ||
coverage run --source nlp setup.py test | ||
coverage report -m | ||
coverage html | ||
$(BROWSER) htmlcov/index.html | ||
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install: clean ## install the package to the active Python's site-packages | ||
python setup.py install |
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