VIEWS Conflictology Model 🛠️

A general purpose Python function for generating VIEWS conflictology forecasts

VIEWS conflictology model is a Python function designed to facilitate generating conflictology uncertainty forecasts. It is developed and maintained by the Peace Research Institute Oslo (PRIO) as part of the VIEWS project.

📚 Table of Contents

1. 🛠 Installation
2. 📝 Usage
3. 🤝 Contributing
4. 🐞 Common bugs
5. 🔖 License

🛠 Installation

To use conflictology model, the required libraries are:

from viewser import Queryset, Column
import numpy as np
import pandas as pd

📝 Usage

The conflictology_benchmark function is the main function

# variables
test_partitioner_dict = {"train": (491, 492), "predict": (493, 504)}
steps = [1, 2, 3, 9, 36]
outcome = 'sb'
loa = 'cm'
x_conflictology = 3

# function call
conflictology_benchmark(test_partitioner_dict, steps, loa,x_conflictology, outcome)

🤝 Contributing

Contributions are welcome! To contribute:

1. Make an issue describing the feature you want to add or the bug you want to fix.
2. Create your Feature Branch (git checkout -b <issuenumber>-<your-feature-name>)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin <issuenumber>-<your-feature-name>)
5. Open a Pull Request

🐞 Common bugs

A common bug is not importing the function from the script, so please import it as given below:

# the function is in the views_conflictology file
import views_conflictology as fm

🔖 License

Distributed under the MIT License.