Added export to MLflow pyfunc model format #1192
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tgaddair
commented
Jun 3, 2021
| logger.info( | ||
| '\nFinished: {0}_{1}'.format(experiment_name, model_name)) | ||
| logger.info('Saved to: {0}'.format(output_directory)) | ||
| finally: |
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Note: this whole block of changes is just adding a try ... finally to ensure on_train_end is also called in the event of an exception.
tgaddair
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This PR adds a new
mlflow.pyfuncmodel variant calledLudwigMlflowModelthat allows users to load Ludwig models and use them for prediction alongside other Mlflow model types. When using experiment tracking, themodeldirectory will now be uploaded to the run as an Mlflow model at the end of each epoch, instead of simply a directory.This PR also adds a new
export_mlflowcommand to take an existing Ludwig model and convert it to Mlflow or (whenmodel_nameis provided) register it in the Mlflow model registry.