Implement fixes on evaluation (closes #20), and prepare for handling issue #60

Implement fixes on evaluation (closes #20 (closed)), and prepare for MLflow integration (issue #60 (closed))

• Use average-precision instead of AUC for precision-recall figures
• Report average precision on tables
• Include dependence on credible (prepare to handle issue #43)
• Also saves result table in JSON format (prepare to handle issue #60 (closed))
• Consolidate train/prediction functions to output run/parameter metadata in JSON format

assigned to @andre.anjos

changed title from [scripts,engine] Implement fixes on evaluation (closes #20 (closed)), and prepare for... to Implement fixes on evaluation (closes #20 (closed)), and prepare for handling issue #60

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• 97e9d662 - [scripts] Remove usage of save_sh_command()

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• fe3b6bf8 - [tests] Fix testing; Slightly improve JSON outputs for consistence

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marked this merge request as draft

Almost ready... We could add the following information on the meta.json files:

• version of python packages on the current environment (doable via importlib.metadata.requires())

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• 3090c288 - [scripts.utils] Also track versions of dependencies on meta information saved...

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mentioned in issue #43

marked this merge request as ready

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• 77ec6575 - [scripts.evaluate] Add meta data saving also for evaluation

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• 4521aeb7 - [scripts.utils] Check version numbers only for installed packages

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merged

mentioned in commit 771d386f