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View All on GitHub Add a Linear Classifier for Patient-Level Modeling 2 months ago
AI Summary: This issue proposes adding a linear classifier (logistic regression style) as an alternative to the current MLP for patient-level modeling. The new model should integrate seamlessly with the existing training pipeline, using the same input format, preprocessing, loss, optimizer, learning rate schedule, outputs, and metrics as the MLP. It will be configurable via `config.yaml` to serve as a simpler baseline and a faster option for benchmarking.
Complexity:
2/5
enhancement good first issue
Solid Tumor Associative Modeling in Pathology
Python
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