Galileo-Galilei/kedro-mlflow 0.4.0

Release 0.4.0

on GitHub

[0.4.0] - 2020-11-03

Added

• kedro-mlflow now supports kedro>=0.16.5 (#62)
• kedro-mlflow now supports configuring the project in pyproject.toml (Only for kedro>=0.16.5) (#96)
• pipeline_ml_factory now accepts that inference pipeline inputs may be in training pipeline inputs (#71)
• pipeline_ml_factory now infer automatically the schema of the input dataset to validate data automatically at inference time. The output schema can be declared manually in model_signature argument (#70)
• Add two DataSets for model logging and saving: MlflowModelLoggerDataSet and MlflowModelSaverDataSet (#12)
• MlflowPipelineHook and MlflowNodeHook are now auto-registered if you use kedro>=0.16.4 (#29)

Fixed

• get_mlflow_config now uses the Kedro ProjectContext ConfigLoader to get configs (#66). This indirectly solves the following issues:
  • get_mlflow_config now works in interactive mode if load_context is called with a path different from the working directory (#30)
  • kedro_mlflow now works fine with kedro jupyter notebook independently of the working directory (#64)
  • You can use global variables in mlflow.yml which is now properly parsed if you use a TemplatedConfigLoader (#72)
• MlflowMetricsDataset now saves in the specified run_id instead of the current one when the prefix is not specified (#62)
• Other bug fixes and documentation improvements (#6, #99)

Changed

• The KedroPipelineModel now unpacks the result of the inference pipeline and no longer returns a dictionary with the name in the DataCatalog but only the predicted value (#93)
• The PipelineML.extract_pipeline_catalog is renamed PipelineML._extract_pipeline_catalog to indicate it is a private method and is not intended to be used directly by end users who should rely on PipelineML.extract_pipeline_artifacts (#100)
• The MlflowArtifactDataSet is moved from kedro_mlflow.io folder to kedro_mlflow.io.artifacts. (#109)
• The MlflowMetricsDataSet is moved from kedro_mlflow.io folder to kedro_mlflow.io.metrics. (#109)

Removed

• kedro mlflow init command is no longer declaring hooks in run.py. You must now register your hooks manually in the run.py if you use kedro>=0.16.0, <0.16.3 (#62).
• Remove pipeline_ml function which was deprecated in 0.3.0. It is now replaced by pipeline_ml_factory (#105)
• Remove MlflowDataSet dataset which was deprecated in 0.3.0. It is now replaced by MlflowArtifactDataSet (#105)

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