---

name: model-export description: "Export a fitted Python ML model to native code with m2cgen via API or CLI." disable-model-invocation: true metadata: disco-role: operating license: MIT

model-export

Use this skill when a user already has a fitted Python model and wants m2cgen-generated native code.

Route by intent

• In-memory Python object: use references/api-reference.md.
• Serialized model or shell workflow: use references/cli-reference.md.
• Supported languages, model families, and output shapes: use references/model-overview.md.
• End-to-end export flows: use references/workflows.md.
• Failure handling: use references/troubleshooting.md.

In scope

• Export through the public m2cgen.export_to_* functions.
• Export through python -m m2cgen or the installed m2cgen console script.
• Pickle/joblib input, stdin piping, recursion-limit tuning, and language-specific naming flags.

Out of scope

• Model training or fitting.
• Executing generated code in foreign runtimes.
• Maintainer release/publishing workflows.
• Bulk generated-example regeneration tooling; treat it as maintainer-side reference material only.
• Any workflow that depends on the original source checkout at runtime.

Quick check

Run python scripts/smoke_export.py for a narrow, deterministic check of public export calls using a model the script creates locally. It executes only the generated Python export; it does not compile or run the other target-language outputs and is not a replacement for end-to-end fixture coverage.

Add --cli to exercise the python -m m2cgen file and stdin paths. --joblib and --console-script are optional paths that require --cli; passing either without --cli is rejected rather than silently reporting a partial check. Neither optional path is exercised by the default command. Read references/workflows.md before running it where executing generated Python, invoking a PATH-resolved console script, or the temporary-file lifecycle matters.