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>
9 lines
168 B
Python
9 lines
168 B
Python
from setuptools import setup, find_packages
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setup(
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name="thesisrepo",
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version="0.1",
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packages=find_packages(where="code"),
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package_dir={"": "code"},
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)
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