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Avocet by Circuit Forge LLC — email classifier training tool: multi-account IMAP fetch, card-stack labeling UI, benchmark harness
80 commits 2 branches 0 tags 554 KiB
Python 89.8%
Shell 10.2%
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pyr0ball 5eb593569d feat(avocet): add finetune data pipeline, class weights, WeightedTrainer 
Implements load_and_prepare_data (JSONL ingestion with class filtering),
compute_class_weights (inverse-frequency, div-by-zero safe), compute_metrics_for_trainer
(macro F1 + accuracy), and WeightedTrainer.compute_loss (**kwargs-safe for
Transformers 4.38+ num_items_in_batch). All 12 tests pass.
2026-03-15 15:38:45 -07:00
app feat(avocet): benchmark UI, label fixes, BenchmarkView with charts and SSE run 2026-03-15 09:39:37 -07:00
config feat: initial avocet repo — email classifier training tool 2026-02-27 14:07:38 -08:00
data feat: initial avocet repo — email classifier training tool 2026-02-27 14:07:38 -08:00
docs feat(avocet): benchmark UI, label fixes, BenchmarkView with charts and SSE run 2026-03-15 09:39:37 -07:00
scripts feat(avocet): add finetune data pipeline, class weights, WeightedTrainer 2026-03-15 15:38:45 -07:00
tests feat(avocet): add finetune data pipeline, class weights, WeightedTrainer 2026-03-15 15:38:45 -07:00
web feat(avocet): benchmark UI, label fixes, BenchmarkView with charts and SSE run 2026-03-15 09:39:37 -07:00
.gitignore feat: initial avocet repo — email classifier training tool 2026-02-27 14:07:38 -08:00
CLAUDE.md docs(avocet): document email field schemas and normalization layer 2026-03-03 18:43:41 -08:00
environment.yml chore(avocet): add scikit-learn to classifier env 2026-03-15 09:44:04 -07:00
manage.sh fix(avocet): normalize queue schema + bind to 0.0.0.0 for LAN access 2026-03-03 18:43:00 -08:00
PRIVACY.md docs: add privacy policy reference 2026-03-05 20:59:37 -08:00
pytest.ini feat: initial avocet repo — email classifier training tool 2026-02-27 14:07:38 -08:00
requirements.txt fix(avocet): store original item in _last_action; add requirements.txt 2026-03-03 15:16:54 -08:00