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autokeras

Use AutoKeras for Keras-based AutoML task APIs, custom AutoModel graphs, tuner search, and model export workflows.

中文简介正在准备中。当前显示原文说明。

查看安装方法

包含的文件(27)

  • SKILL.md3.0 KB
  • references/repo-provenance.md1.7 KB
  • references/repo-routing-metadata.json482 B
  • references/setup-and-troubleshooting.md3.0 KB
  • references/source-script-inventory.md2.3 KB
  • scripts/check_autokeras_env.py2.5 KB
  • sub-skills/automodel-customization/references/api-reference.md2.7 KB
  • sub-skills/automodel-customization/references/custom-search-spaces.md1.8 KB
  • sub-skills/automodel-customization/references/multimodal-multitask.md1.6 KB
  • sub-skills/automodel-customization/references/troubleshooting.md1.2 KB
  • sub-skills/automodel-customization/scripts/build_tiny_custom_image_automodel.py1.3 KB
  • sub-skills/automodel-customization/scripts/build_tiny_multimodal_automodel.py1.7 KB
  • sub-skills/automodel-customization/SKILL.md2.1 KB
  • sub-skills/search-and-export/references/export-and-reload.md1.1 KB
  • sub-skills/search-and-export/references/search-configuration.md2.1 KB
  • sub-skills/search-and-export/references/troubleshooting.md1.3 KB
  • sub-skills/search-and-export/references/tuner-reference.md1.8 KB
  • sub-skills/search-and-export/scripts/export_tiny_model.py1.6 KB
  • sub-skills/search-and-export/SKILL.md2.2 KB
  • sub-skills/task-apis/references/api-reference.md5.8 KB
  • sub-skills/task-apis/references/data-formats.md2.3 KB
  • sub-skills/task-apis/references/troubleshooting.md1.7 KB
  • sub-skills/task-apis/references/workflows.md2.7 KB
  • sub-skills/task-apis/scripts/run_tiny_image_task.py1.5 KB
  • sub-skills/task-apis/scripts/run_tiny_structured_task.py1.7 KB
  • sub-skills/task-apis/scripts/run_tiny_text_task.py1.4 KB
  • sub-skills/task-apis/SKILL.md2.7 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

AutoKeras repo skill

Use this skill when a user asks how to operate AutoKeras: Keras-based AutoML for image, text, structured-data, custom search-space, tuner, and export workflows. This skill is self-contained; do not rely on the original repository checkout at runtime.

Setup first

AutoKeras 3.0.0 uses Keras 3. Choose and install a Keras backend before importing Keras or AutoKeras. The repository's public install guidance and CI support a PyTorch backend path for ordinary CPU checks.

python -m pip install autokeras
python -m pip install torch --index-url https://download.pytorch.org/whl/cpu
KERAS_BACKEND=torch python -c "import keras, autokeras as ak; print(ak.__version__, keras.backend.backend())"

Run scripts/check_autokeras_env.py when setup, backend, import, or public API visibility is uncertain.

Route by task

  • sub-skills/task-apis/SKILL.md: high-level ImageClassifier, ImageRegressor, TextClassifier, TextRegressor, StructuredDataClassifier, and StructuredDataRegressor workflows, including data shapes and task-specific troubleshooting.
  • sub-skills/automodel-customization/SKILL.md: custom AutoModel graphs, nodes, blocks, heads, multimodal inputs, multitask outputs, and graph/data ordering failures.
  • sub-skills/search-and-export/SKILL.md: tuner names/classes, max_trials, objectives, callbacks, search directories, overwrite, export_model(), and reloading saved .keras models.

Shared references

Operating constraints

  • Keep first runs bounded: max_trials=1, epochs=1, small synthetic/local data, and an explicit scratch directory.
  • Set KERAS_BACKEND before importing Keras or AutoKeras.
  • Do not run original examples, notebooks, benchmark scripts, Docker scripts, or release tooling as runtime dependencies. Use bundled scripts and references instead.
  • CUDA/GPU execution is optional for this skill. Do not claim GPU verification unless the user's own environment and backend framework have been checked.

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