Introduction to Gaussian Processes

The software was written using:

Python - 3.5.2

Numpy - 1.11.2

Seaborn - 0.7.1

How to setup:

1)Download the code

2)Install Python if you haven't already (https://www.python.org/downloads/)

3)Install required libraries (eg. pip install holoviews==1.6.2)

4)Run jupyter notebook from the root directory of the project. The code is found in the different notebooks

Remarks

In the repository you can also find accompaying presentation and report that explain Gaussian Processes and the work done in this project.

Name		Name	Last commit message	Last commit date
Latest commit History 12 Commits
.ipynb_checkpoints		.ipynb_checkpoints
__pycache__		__pycache__
BayesianInference.ipynb		BayesianInference.ipynb
GaussianProcessesBasics-Copy1.ipynb		GaussianProcessesBasics-Copy1.ipynb
GaussianProcessesBasics.ipynb		GaussianProcessesBasics.ipynb
GaussianProcessesExperiments.ipynb		GaussianProcessesExperiments.ipynb
GaussiansBasic.ipynb		GaussiansBasic.ipynb
README.md		README.md
data		data
gaussian.py		gaussian.py
landscapeData.h		landscapeData.h
report.pdf		report.pdf
workfile.txt		workfile.txt

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