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1cf73aff6dbec9cdfa540c699ffc54a5b37c5e8d
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11 Commits
Author SHA1 Message Date
MythEclipse 1cf73aff6d b 2026-06-12 15:24:49 +00:00
MythEclipse 857a008087 a 2026-06-12 15:24:49 +00:00
MythEclipse f9bd991bdf feat(ml): implement v3.0 architecture with CBAM and calibrated inference 
- Integrate Convolutional Block Attention Module (CBAM) for improved feature focus
- Implement temperature scaling and confidence-based status reporting
- Automate dataset acquisition using kagglehub
- Update ONNX opset to 18 and refine preprocessing validation
 2026-06-12 15:24:49 +00:00
MythEclipse 8137057186 a 2026-06-11 19:42:02 +00:00
MythEclipse 4377be14cd chore(Machine_Learning): update notebook execution count and outputs 2026-06-11 16:49:37 +00:00
MythEclipse c733f3bfe1 a 2026-06-11 16:39:04 +00:00
MythEclipse 8c65e33a74 chore(Machine_Learning): clear notebook outputs and add .gitignore 2026-06-11 16:31:38 +00:00
MythEclipseandClaude 7a7e5b5955 fix: update Google Drive file ID to correct dataset link 
Co-Authored-By: Claude <noreply@anthropic.com>
 2026-06-11 15:19:38 +00:00
MythEclipseandClaude b83b2e132f feat: download dataset from Google Drive when running locally 
- Add  dep to requirements.txt
- Non-Colab path: download dataset_jagung.zip from Drive using file ID
  if not present locally, then extract as usual
- Keeps Colab path unchanged (drive.mount)

Co-Authored-By: Claude <noreply@anthropic.com>
 2026-06-11 15:18:25 +00:00
MythEclipseandClaude ddced09bbc feat: make notebook dual-compatible (Colab + local) 
- Add IS_COLAB auto-detection (try/except google.colab)
- Guard all /content/ paths behind IS_COLAB check
- Local paths resolve relative to Machine_Learning/ directory
- Remove unused imports (tarfile, pathlib, duplicate PIL)
- Consolidate sklearn imports into cell 2

Co-Authored-By: Claude <noreply@anthropic.com>
 2026-06-11 15:17:32 +00:00
elytra7 b2659dcd4e bebas 2026-05-22 14:23:45 +08:00