Receives a geoJson/geostore id, a model and generates a prediction.
Lists all models and allows filtering by datasetID, type, architecture...
Working Postman collection with endpoints
The knowledge sorce came from this medium article
For the AI part of the project the knowledge came from https://github.com/Skydipper/CNN-tests
You will need to have installed docker and docker-compose;
You will need to have control tower and geostore up and running.
Don't forget to populate your .env file with the requirements
run sh geopredictor.sh develop
After pgadmin is up and running you can http://0.0.0.0:16543/ to load into pg-admin.
In order to connect with the DB you should create server connection with network as the hostname, the port, username and password that you seted up on your .env file
For the microservice endpoint you should be able to access http://0.0.0.0:6868/ or if working with CT http://0.0.0.0:9000/v1/model
In order to populate the DB you will need to update the data as you need on the /data folder.
You will need to connect to the postgres container. To do so:
docker exec -it geo-postgres-compose /bin/bash
cd /data_import
sh import_data.sh
To export the DB: pg_dump -U postgres geopredictor > geopredictor.pgsql
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