django-machine-learning-user-interface 0.0.0.17

A package to help developers build front end user interfaces for machine learning models.

*This package is intended to help developers quickly build scalable and customisable front end user interfaces for machine learning models. You can start using this package by following these 5 easy steps:*

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*Step 1: Install and Setup*

1.1. Open up a new working directory and create a virtual environment by running this command python -m venv env on the comand prompt. <br/>

1.2. Run envScriptsactivate to activate the virtual environment. <br/>

1.3. Install the Django machine learning user interface package by running pip install django-machine-learning-user-interface. <br/>

1.4. Run cd envLibsite-packagessrc to find the package files. <br/>

1.5. Open up the files on a code editor e.g. VsCode. <br/>

1.6. Intall project requirments by running pip install -r requirements.txt on the comand prompt. <br/> <br/>

*Step 2: Secrete Key*

2.1. Genrate a secrete key. You can use get one here: https://djecrety.ir/. <br/>

2.2. Create a .env file in src and store you secrte key inside. <br/>

2.3. Make sure to label it SECRET_KEY. <br/> <br/>

*Step 3: Inputs*

3.1. Navigate to srcinput. <br/>

3.2. Inside the input file create a folder and call it model then copy your pickle model file (e.g ‘titanic.pkl’) into this folder. <br/>

3.3. In the forms.py file populate the class IndexForm as specified in the code comments. <br/>

3.4. In the params.py file specify the name of the target variable (e.g. ‘Passenger Status’) and the name of the model (e.g ‘titanic.pkl’). <br/> <br/>

*Step 4: Views*

4.1. Navigate to srcinterfaceviews.py. <br/>

4.2. Add the cleaned form data as specified (line 21). <br/>

4.3. List the x variables as specified (line 30). <br/>

4.4. If your model is a classification model, edit line 41 as specified. <br/> <br/>

*Step 5: Generate the UserInterface*

5.1. On the comand prompt run python manage.py runserver. <br/>

5.2. Go to local host on your browser(http://127.0.0.1:8000/) and you should see your application and be able to interact with your application. <br/>