Kriging is an invaluable tool in understanding the behavior of sparse data. It has proven effective in many aspects of engineering and in applications where data is "expensive", or difficult, to collect.
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.
The core dependencies are:
- numpy
- matplotlib
- scipy
Please fill this suraj, we need to include makefile setup.py from which installation should happen.
If you wish to see a working build/test script please see our codevoc.yml.
The latest documentation for PyKriging is available at http://asdjfhj.readthedocs.io/en/latest
Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.
We use SemVer for versioning. For the versions available, see the tags on this repository.
- Suraj Sanka
- Vinod Kumar Metla
- Mrinalgouda Patil
See also the list of contributors who participated in this project.
- Prabhu Ramachandran
- Madhu Belur
- Kumar Appaiah