Update kedro-mlflow requirement from >=2.0.2 to >=2.0.3 in /argo-test

[dependabot]

Updates the requirements on kedro-mlflow to permit the latest version.

Release notes

Sourced from kedro-mlflow's releases.

Release 2.0.3

[2.0.3] - 2026-05-10

Fixed

• 🐛 Add PipelineML.__add__ and PipelineML.__radd__ to support pipeline_ml_factory alongside the new feature ability which enables to pass several pipeline_names argument in CLI introduced in kedro==1.2.0 (#690)

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Changelog

Sourced from kedro-mlflow's changelog.

[2.0.3] - 2026-05-10

Fixed

• 🐛 Add PipelineML.__add__ and PipelineML.__radd__ to support pipeline_ml_factory alongside the new feature ability which enables to pass several pipeline_names argument in CLI introduced in kedro==1.2.0 (#690)

[2.0.2] - 2026-02-16

Fixed

• 🐛 Support for pipeline_names argument in CLI added in kedro==1.2.0 (#686)

[2.0.1] - 2026-01-18

Fixed

• 🐛 Enable PipelineML logging with either custom model name following MLflow v3 convention, or custom artifact_path for back-compatibility with older MLflow versions. (#687)

[2.0.0] - 2025-11-25

Added

• ✨ Add support for mlflow>=3.0.0 (#657)

Changed

• 💥 📌 Drop support for mlflow>=2.0.0,<3.0.0 (#678)
• 💥 Drop run_id argument of MlflowModelTrackingDataset. In mlflow 3, the model is no longer necessarily tied to a run. It is now possible to specify load_args={"model_uri":"models/<name>} to load a specific model outside the current run. (#678)
• 💥 Drop artifact_path argument of MlflowModelTrackingDataset. In mlflow 3, this argument is renamed nameand can be passed to the dataset withsave_args={"name":"my_model_name"} (#678)

[1.0.2] - 2025-09-27

Fixed

• 🐛 Treat "databricks-uc" as a special value for mlflow_registry_uri (#675)

[1.0.1] - 2025-08-13

Fixed

• 🐛 Fix run_id logging error while loading MlflowModelRegistryDataset (#671)

[1.0.0] - 2025-07-27

Added

• ✨ Add support for kedro>=1.0.0 (#658)

Changed

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Commits

• f4aa0a4 🚀 Bump version and CHANGELOG for release 2.0.3 (#691)
• 35cedcd 🐛 Continue support pipeline_ml_factory with kedro>=1.2.0 through Pipeline...
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