workflow

scikitplot.mlflow.workflow(*, profile='local', open_ui_seconds=0.0, experiment_name=None, fmt='toml', overwrite=False)

Run the built-in end-to-end MLflow workflow demo.

This is a small, newbie-friendly helper that:

1. Exports the library’s built-in demo config (TOML or YAML) into your project.

2. Runs a small “train” logging run.

3. Optionally keeps the UI open for inspection.

4. Runs a small “predict” logging run.

Parameters:

profilestr, default=”local”

Profile name inside the project config.

open_ui_secondsfloat, default=0.0

If > 0, sleeps for this many seconds while the session is open, printing ui_url.

experiment_namestr or None, default=None

If provided, patches the exported config to use this experiment name.

fmt{“toml”, “yaml”}, default=”toml”

Which built-in demo config format to export.

overwritebool, default=False

Whether to overwrite existing project config files.

Returns:

None

Parameters:

• profile (str)

• open_ui_seconds (float)

• experiment_name (str | None)

• fmt (str)

• overwrite (bool)

Return type:

None

See also

run_demo

The implementation used by the CLI entry point.

Gallery examples

MLflow

MLflow