Spanish
Algoritmo de Descubrimiento Adaptativo basado en redes Neuronales
English
Adaptive Discovering Algorithm based on Neural networks
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ADAN is built on top of:
- Python 3.6.4 - Compiled using GNU GCC 7.3.0
And of course ADAN itself is open source with a public repository on GitHub.
Important: This section is still under construction...
Want to contribute? Great!
Open your favorite Terminal and run:
$ git clone https://github.com/EDario333/adan.gitKnown issues are: fatal: Unable to find remote helper for 'https'
Solution:
If you built Git from source make sure that you've installed libcurl4-openssl-dev (on Debian systems) first. So, try:
apt-get install libcurl4-openssl-dev
And then re-install Git.
If the problem persist and you only want to try ADAN locally (highly probabadly you won't make any remote operation) you can:
git clone git://github.com/EDario333/adan.git
To-Do
Important: This section is still under construction...
ADAN is very easy to install and deploy in a Docker container.
By default, the Docker will expose port 8000, so change this within the Dockerfile if necessary. When ready, simply use the Dockerfile to build the image.
cd adan
docker build -t xyz/123:${package.json.version}This will create the ADAN image and pull in the necessary dependencies. Be sure to swap out ${package.json.version} with the actual version of ADAN.
Once done, run the Docker image and map the port to whatever you wish on your host. In this example, we simply map port 8000 of the host to port 8080 of the Docker (or whatever port was exposed in the Dockerfile):
docker run -d -p 8000:8080 --restart="always" <youruser>/123:${package.json.version}Verify the deployment by navigating to your server address in your preferred browser.
127.0.0.1:8000A lot of things :)
In the priority order:
- Keep with the ADAN's developing
- Improve the Tech section
- Finish the Installation section
- Start to work with the Building for source section
- Improve the Docker section
GNU General Public License v3.0
Anyone?
Anyone?
Anyone?