semvec/pypi-packages huggingface dataset:
classiloom 1.0.0
CLI image classification trainer with Gemini-driven hyperparameters and modern Keras backbones
License: MIT
Requires Python: >=3.9
Keywords: machine-learning, deep-learning, image-classification, tensorflow, cli, gemini

# 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 runs`
- `classiloom suggest <scan_json> --trials 8 --out runs`
- `classiloom train <dataset_dir> <configs_json> --idx 0 --out runs [--mixed-precision] [--fine-tune]`
- `classiloom predict <image_path> <model_dir>`