feat: add network analysis #352
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SanyHe
reviewed
Jun 15, 2024
| def __init__(self, model_name: str) -> None: | ||
| # Initialize the model name | ||
| self.model_name = model_name | ||
| # Initialize the corresponding network analysis workflow based on the model name |
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Move this initialization into "def activate". This is the convention. Can refer to process/detect.py.
SanyHe
reviewed
Jun 15, 2024
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Rename the file as "Data_NetworkAnalysis.xlsx"
SanyHe
reviewed
Jun 15, 2024
| self.net_workflow = LouvainMethodWorkflow() | ||
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| # Define the activate method, accepting input data X and y, and calling the community detection method of the corresponding workflow | ||
| def activate(self, X: pd.DataFrame, y: pd.DataFrame) -> None: |
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Inside this function, we will emulate the way of using scikit-learn style method. Can refer to process/detect.py.
It should contain at least these functions.
- data_upload()
- show_info()
- fit()
- save_hyper_parameters()
- common_components()
- special_components()
- data_save()
- model_save()
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