d151062115
* 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. --------- Co-authored-by: nuluh <dam.ar@outlook.com>
5 lines
106 B
Plaintext
5 lines
106 B
Plaintext
# Ignore CSV files in the data directory and all its subdirectories
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data/**/*.csv
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.venv/
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*.pyc
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*.egg-info/ |