nuluh
9b018efc15
refactor(notebooks): update STFT notebook to improve clarity and structure of sensor evaluation sections
2025-07-24 17:00:31 +07:00
nuluh
2fbdeac1eb
refactor(test): update import statement to use data_preprocessing module
2025-07-18 19:29:02 +07:00
nuluh
086032c250
refactor(notebooks): clean up to be more readable notebooks
2025-07-18 19:28:43 +07:00
nuluh
f6c71739df
refactor(ml): clean up model_selection.py by removing unused code and improving function structure
2025-07-18 19:27:46 +07:00
nuluh
18824e05c0
refactor(ml): update inference calls to use new model structure and improve clarity
2025-07-17 00:18:01 +07:00
nuluh
2504157b29
feat(src): replace convert.py to src/data_preprocessing.py and fix some functions prefix parameter
2025-07-02 03:25:18 +07:00
nuluh
5ba628b678
refactor(src): make compute_stft and process_damage_case to be pure function that explicitly need STFT arguments to be passed
2025-07-01 14:32:52 +07:00
nuluh
a93adc8af3
feat(notebooks): minimize stft.ipynb notebooks and add STFT data preview plot.
...
- Consolidated import statements for pandas and matplotlib.
- Updated STFT plotting for Sensor 1 and Sensor 2 datasets with improved visualization using pcolormesh.
- Enhanced subplot organization for better clarity in visual representation.
- Added titles and adjusted layout for all plots.
2025-06-30 01:36:44 +07:00
nuluh
c2df42cc2b
feat(ml): add XGBoost model to inference options and update commented inference calls
2025-06-27 10:35:27 +07:00
nuluh
465ed121f9
feat(notebooks): training model with new alternative undamaged (label 0) data
2025-06-27 10:34:23 +07:00
nuluh
d6975b4817
feat(src): update damage base path and adjust test run logic for damage case processing for undamage case new method
2025-06-27 10:33:54 +07:00
nuluh
79070921d7
feat(data): add complement_pairs function to generate complement tuples for implementing alternative undamage case method
2025-06-27 10:33:36 +07:00
