Welcome to GorillaML’s documentation!¶
This is the analytical tools which allow individual, organization, developer, publisher to present, manage, publish their architectural design, machine learning api, custom form builder for input data capturing, live code editor and many more active development very easily.
Installation¶
pip install gorillaml
DB Initialization¶
After installation to initialized the application database we have to run below command in console.
gorillaml-canvas init-db
Note
If facing any issue due to already existing db drop it from /installed_location/Anaconda3/var/
and then try above command.
Warning
Dont ignore or forget to run this command or else application stop working properly.
Start Application in Desktop¶
If it is installed on personal desktop based environment then to start GorillaML server, run below command in terminal..
gorillaml-canvas gui
Start Application Server in private cloud¶
To start GorillaML server run below command in terminal
gorillaml-canvas start-forever
It will expose the application in http://localhost:5000
Application Login¶
Default username and password of the application is admin
and admin
. After successfull login change your default
password as per your convenient time.
Plugin Development¶
GorillaML is created on top of Flask framework and this plugins are created based on Flask blueprint framework. You have full controll to play with gorillaml plugins using Flask blueprint for more details start reading https://flask.palletsprojects.com/en/1.1.x/blueprints/
You will found sample plugins here https://github.com/washim/GorillaML_Plugins
Warning
Plugin name and blueprint name should be same inside plugin.py. This plugin.py and __init__.py is the mandatory to create gorillaml plugins. Dont change gorillaml variable inside plugin.py
DB Update¶
This is recommended to execute below command always after installing new release.
gorillaml-canvas db-update