classiloom
CLI trainer for image classification. Gemini proposes hyperparameters. Keras backbones (MobileNetV2, EfficientNetB0, ResNet50) or a compact CNN. No database. Artifacts and metrics saved under runs/.
Commands
classiloom set gemini_api <token>classiloom set gemini_model <name>classiloom scan <dataset_dir> --out runsclassiloom suggest <scan_json> --trials 8 --out runsclassiloom train <dataset_dir> <configs_json> --idx 0 --out runs [--mixed-precision] [--fine-tune]classiloom predict <image_path> <model_dir>
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Metadata
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Release files for classiloom 1.0.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| classiloom-1.0.0.tar.gz | 13.7 kB | Without provenance | Details for classiloom-1.0.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| classiloom-1.0.0-py3-none-any.whl | Python 3 | none | any | Details for classiloom-1.0.0-py3-none-any.whl |
Total release size: 29.5 kB
Release files / classiloom-1.0.0.tar.gz
| Download URL | classiloom-1.0.0.tar.gz |
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| Size | 13.7 kB |
| Tags | Source |
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Release files / classiloom-1.0.0-py3-none-any.whl
| Download URL | classiloom-1.0.0-py3-none-any.whl |
|---|---|
| Size | 15.7 kB |
| Tags | Python 3 |
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twine/6.1.0 CPython/3.9.6
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