Welcome to keras_datasets documentation!¶
A repository hosting keras dataset generators
| Main Authors: | Jonathan DEKHTIAR, Marc MOREAUX |
|---|---|
| Issues: | https://github.com/DEKHTIARJonathan/keras-datasets/issues |
| License: | MIT |
| Version: | 0.1.0 |
| Generated: | July 28, 2017 |
Issues¶
Feel free to submit issues and enhancement requests.
Copyright and Licensing¶
The project is released under the GNU General Public License v3.0, which gives you the following rights in summary:
| Permissions | Limitations | Conditions |
|---|---|---|
| Commercial use | Liability | License and copyright notice |
| Modification | Warranty | |
| Distribution | ||
| Private use |
Contributing guidelines¶
Please have a look to the Contributing Guidelines first.
We follow the “fork-and-pull” Git workflow.
- Fork the repo on GitHub
- Clone the project to your own machine
- Commit changes to your own branch
- Push your work back up to your fork
- Submit a Pull request so that we can review your changes
NOTE: Be sure to merge the latest from “upstream” before making a pull request!
Installation¶
Available with the Python Package Index: https://github.com/DEKHTIARJonathan/keras-datasets/
pip install keras-datasets
## First clone the repository
git clone https://github.com/DEKHTIARJonathan/keras-datasets.git
## Create a virtualenv
virtualenv venv
# Linux: activate the virtualenv
source venv/bin/activate
# Windows activate the virtualenv
venv\Scripts\activate.bat
## Then install the library
pip install -r requirements.txt
## Then install the library
python setup.py install
3. Running Unit Tests¶
# Linux
source venv/bin/activate
# Windows
venv\Scripts\activate.bat
# Then
coverage run manage.py test
coverage report -m
coverage html