chore: release 0.29.0#63
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Finalize 0.29.0 (drop .dev0) and fix documentation accuracy bugs.
- MLServiceInfo Quick Start snippets now include the required
model_metadata and period_type fields.
- Correct ML route paths to /api/v1/ml/$train, /$predict, /$validate.
- Drop the unsupported max_concurrency arg from MLServiceBuilder examples.
- Move config-artifact linking to with_artifacts(enable_config_linking=True).
- Correct the artifact tree endpoint to GET /api/v1/artifacts/{id}/$tree.
- Fix DataFrame import path, sort(ascending=) usage, and mlproject run port.
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Finalizes 0.29.0 (drops the
.dev0marker) and fixes documentation accuracy bugs found in review. This is the first release cut from the dhis2-chap org and serves as the smoke test for the PyPI publishing pipeline before 1.0.0.Doc fixes (all verified against source)
MLServiceInfoQuick Start snippets (index.md, ml-workflows.md) now include the requiredmodel_metadataandperiod_typefields - previously they raised aValidationError.POST /api/v1/ml/$train,/$predict,/$validate(the$prefix was missing).max_concurrency=argument fromMLServiceBuilder(...)examples (it raisesTypeError;with_jobs(max_concurrency=...)is the real knob).with_config(enable_artifact_operations=...)towith_artifacts(enable_config_linking=True).GET /api/v1/artifacts/{id}/$tree(was documented asPOST .../$treewith a body).DataFrameimport path (chapkit.data),sort(ascending=...)usage, andchapkit mlproject rundefault port (9090).Examples were reviewed separately and need no changes - all 4 import only real API and are runnable.
Verification
make lint- 0 errors (pre-existing polars/xarray optional-import warnings only)make test- 803 passed, 11 skippedmkdocs build --strict- clean