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name: autokeras description: "Use AutoKeras for Keras-based AutoML task APIs, custom AutoModel graphs, tuner search, and model export workflows." disable-model-invocation: true metadata: disco-role: operating license: Apache 2.0

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

• references/setup-and-troubleshooting.md: installation/backend checks, common import failures, optional GPU notes, and cross-cutting recovery.
• references/source-script-inventory.md: how repository examples/scripts were distilled into bundled helpers or excluded.
• references/repo-provenance.md: source snapshot used to build this skill; read it before deciding whether a checkout needs refresh-repo-skill.
• references/repo-routing-metadata.json: structured metadata consumed by the repo-skills router importer.

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.