nuluh
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5b0b3dd4e5
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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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2025-04-24 16:13:50 +07:00 |
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nuluh
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00d1d55181
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docs(README): add instructions for running stft.ipynb notebook
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2025-04-24 10:23:31 +07:00 |
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nuluh
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8a166e8b11
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fix(.gitignore): add rule to ignore egg-info directories and ensure proper formatting
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2025-04-24 10:21:28 +07:00 |
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nuluh
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eb62c7e614
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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.
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2025-04-24 10:21:07 +07:00 |
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nuluh
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cba4a00cd8
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feat(src): implement working function for dataset B to create ready data from STFT files stft_files and add setup.py for package configuration
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2025-04-24 09:32:22 +07:00 |
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nuluh
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90a5a76609
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wip: add function to create stratified train-test split from STFT data
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2025-04-23 12:48:15 +07:00 |
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