Installation¶
kaggledatasets requires Python 3.5+
kaggledatasets is available in the Python Package Index via
$ pip install kaggledatasets
The easiest way to get started on most systems is to create a virtualenv
$ python3 -m venv kd_venv
$ source kd_venv/bin/activate
(kd_venv) $ pip install kaggledatasets
This will install a version of all TF and PyTorch dependencies depending on your system. See kaggledatasets for more information.
If you need a different version of kaggledatasets, follow the instructions on the kaggledatasets website to install the appropriate version of kaggledatasets.github.io
Install From Source¶
$ git clone git@github.com:kaggledatasets/kaggledatasets.git
$ cd kaggledatasets
$ source kd_venv
(kd_venv) $ python3 setup.py install
Once that is installed, you can run the unit tests. We recommend using X as a runner.
To resume development in an already checked-out repo:
$ cd kaggledatasets
$ source kd_venv
To exit the virtual environment:
(kd_venv) $ deactivate
Coming Soon
Cloud VM Setup¶
This guide will cover all the setup work you have to do in order to be able to easily install kaggledatasets on a cloud VM . Note that while these instructions worked when they were written, they may become incorrect or out of date. If they do, please send us a Pull Request!
After following these instructions, you should be good to either follow the Installation instructions or the Install From Source instructions
Amazon Web Services¶
Coming Soon
Google Cloud Engine¶
Coming Soon
Microsoft Azure¶
Coming Soon