UBUMLaaS [](http://admirable-ubu.es/)

July 28, 2020 · View on GitHub

Machine Learning as a Service (MLaaS) platform based on ADMIRABLE and BEST-AI research groups methods.

This application is described as one of the result of two different projects (with objectives partially overlapping, and being this application in the intersection of the objectives):

Project "Algoritmos de ensembles para problemas de salidas múltiples - nuevos desarrollos y aplicaciones" from "Ministerio de Economía y Competitividad" (reference: TIN2015-67534-P)
Project "Minería de datos para la mejora del mantenimiento y disponibilidad de máquinas de altas presiones" from "Consejería de Educación de la Junta de Castilla y León" (reference: BU085P17)

Installation (Linux)

Clone this repository

$ git clone https://github.com/JoseBarbero/UBUMLaaS.git

Go to UBUMLaaS repository's folder
```
$ cd UBUMLaaS
```
Create a conda environment
```
$ conda env create -f UBUMLaaS_env.yml
```
Activate environment
```
$ conda activate UBUMLaaS
```

Modify env_variables.sh with properly values

export SECRET_KEY=<app secret key>
export EMAIL_AC=<email>
export EMAIL_PASS=<email-password>
export EMAIL_URL=<email-url>
export FLASK_ENV=development #development or production
LIBFOLDER=/absolute/path/to/UBUMLaaS

With the conda environment UBUMLaaS, execute the script to export environment variables when activate conda env.
```
$ source env_vars_to_conda.sh
```
Create database
```
$ mv data_base.sqlite ubumlaas/data.sqlite
```
Opt: Download a database and put it in ./ubumlaas/

Install Redis-Server

$ sudo apt install redis-server
$ sudo service redis-server start
$ sudo systemctl enable redis-server #If you want to initialize the service in startup

Caution: Close all workers of RQ before stop redis-server

Execution

Inside the UBUMLaaS repository's folder, activate conda environment if not activated.
```
$ conda activate UBUMLaaS
```
Execute to run the server
```
python app.py
```

Update database

Execute migrate.py
```
$ python migrate.py
```