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Add Working Milestone with Initial Results and Model Inference (#82)

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* wip: add function to create stratified train-test split from STFT data

* feat(src): implement working function for dataset B to create ready data from STFT files stft_files and add setup.py for package configuration

* feat(notebook): Update variable names for clarity, remove unused imports, and streamline data processing. Implement data concatenation using pandas concat for efficiency. Add validation steps for Dataset B and improve model training consistency across sensors.

* fix(.gitignore): add rule to ignore egg-info directories and ensure proper formatting

* docs(README): add instructions for running stft.ipynb notebook

* feat(notebook): Add evaluation metrics and confusion matrix visualizations for model predictions on Dataset B. Remove commented-out code and integrate data preparation using create_ready_data function.

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Co-authored-by: nuluh <dam.ar@outlook.com>
This commit was merged in pull request #82.
This commit is contained in:
Rifqi D. Panuluh
2025-05-24 01:30:10 +07:00
committed by GitHub
parent a32415cebf
commit d151062115
7 changed files with 305 additions and 132 deletions
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README.md
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@@ -16,3 +16,8 @@ The repository is private and access is restricted only to those who have been g
All contents of this repository, including the thesis idea, code, and associated data, are copyrighted © 2024 by Rifqi Panuluh. Unauthorized use or duplication is prohibited.
[LICENSE](https://github.com/nuluh/thesis?tab=License-1-ov-file#readme)
## How to Run `stft.ipynb`
1. run `pip install -e .` in root project first
2. run the notebook