Add Working Milestone with Initial Results and Model Inference #82
Reference in New Issue
Block a user
Delete Branch "feature/48-feat-refactor-stft-preprocessing-and-training-pipeline-into-importable-modules"
Deleting a branch is permanent. Although the deleted branch may continue to exist for a short time before it actually gets removed, it CANNOT be undone in most cases. Continue?
This pull request introduces several updates to the
stft.ipynbnotebook, improving code clarity, modularity, and functionality, as well as minor configuration and documentation changes. The key changes include refactoring the data preparation and model training processes, updating theREADME.mdfile with instructions, and adding a new setting to the VS Code configuration.Code Refactoring and Modularity Improvements:
pandas.concatto improve performance and readability, and added checks for empty data lists (code/notebooks/stft.ipynb). [1] [2]create_ready_datafromsrc.ml.model_selectionto streamline data preparation for sensors (code/notebooks/stft.ipynb).rf_model1,rf_model2, etc.) for better clarity and maintainability (code/notebooks/stft.ipynb). [1] [2] [3] [4] [5] [6]Configuration and Documentation Updates:
.vscode/settings.jsonto set the Jupyter notebook file root to the workspace folder (.vscode/settings.json).README.mdwith instructions on how to run thestft.ipynbnotebook, including installation steps (README.md).Minor Code Adjustments:
code/notebooks/stft.ipynb).ready_data1→ready_data1a,x1→x1a, etc.) for consistency and to avoid overwriting issues (code/notebooks/stft.ipynb). [1] [2] [3] [4] [5]These changes collectively enhance the maintainability, clarity, and usability of the project while improving the workflow for data preparation and model evaluation.