https://github.com/makuche/multi-fidelity-bo
This repository contains data analysis scripts that I have used for my Master thesis research on multi-fidelity Bayesian optimization. The origin of the raw experimental data can be found in the thesis (not in this repository).
https://github.com/makuche/multi-fidelity-bo
data-analysis-python gaussian-processes materials-science multi-fidelity-data multi-task-learning transfer-learning
Last synced: 9 months ago
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This repository contains data analysis scripts that I have used for my Master thesis research on multi-fidelity Bayesian optimization. The origin of the raw experimental data can be found in the thesis (not in this repository).
- Host: GitHub
- URL: https://github.com/makuche/multi-fidelity-bo
- Owner: makuche
- License: other
- Created: 2021-07-07T08:41:50.000Z (almost 5 years ago)
- Default Branch: main
- Last Pushed: 2023-03-12T09:38:48.000Z (over 3 years ago)
- Last Synced: 2025-08-28T13:45:47.749Z (10 months ago)
- Topics: data-analysis-python, gaussian-processes, materials-science, multi-fidelity-data, multi-task-learning, transfer-learning
- Language: Python
- Homepage:
- Size: 61.4 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Multi-fidelity Bayesian Machine Learning for global optimization - data wrangling and postprocessing scripts
## Project structure
Core structure of the folder:
```text
data/ # Data gathered from the experiment
data/raw/ # Raw data (BOSS output files)
data/processed/ # Pre-processed data (JSON files)
docs/ # Documentation of results
env/ # Virtual environment to process data & create plots
references/ # References related to the project
results/ # Results, including plots and tables
scripts/ # Scripts to process data and create plots
src/ # Functionalities used within the project folder
tests/ # Tests for the pre-processing
```
```mermaid
flowchart TD;
A[Raw Data - BOSS output files] -- scripts/preprocess/ --> B[Pre-processed Data ];
B -- scripts/parse/ --> C[Data of Interest];
C -- scripts/analyse/ --> D[Generate Plots];
C -- scripts/analyse/ --> E[Calculate Statistics];
```