🐛 Correctly pass kpm_kwargs and log_model_kwargs to pipeline_ml_factory instead of always using default values (#329)

[Galileo-Galilei]

Description

Close #329

Development notes

• pass kpm_kwargs and log_model_kwargs to _turn_pipeline_to_ml method of PipelineML
• refactor merge with default for readibility

Checklist

• Read the contributing guidelines
• Open this PR as a 'Draft Pull Request' if it is work-in-progress
• Update the documentation to reflect the code changes
• Add a description of this change and add your name to the list of supporting contributions in the CHANGELOG.md file. Please respect Keep a Changelog guidelines.
• Add tests to cover your changes

Notice

• I acknowledge and agree that, by checking this box and clicking "Submit Pull Request":

• I submit this contribution under the Apache 2.0 license and represent that I am entitled to do so on behalf of myself, my employer, or relevant third parties, as applicable.

• I certify that (a) this contribution is my original creation and / or (b) to the extent it is not my original creation, I am authorised to submit this contribution on behalf of the original creator(s) or their licensees.

• I certify that the use of this contribution as authorised by the Apache 2.0 license does not violate the intellectual property rights of anyone else.

[codecov-commenter]

Codecov Report

Merging #332 (0deafc9) into master (a5c5781) will not change coverage.
The diff coverage is 100.00%.

@@            Coverage Diff            @@
##            master      #332   +/-   ##
=========================================
  Coverage   100.00%   100.00%           
=========================================
  Files           28        28           
  Lines          910       906    -4     
=========================================
- Hits           910       906    -4     

Impacted Files	Coverage Δ
kedro_mlflow/pipeline/pipeline_ml.py	100.00% <100.00%> (ø)

---

Continue to review full report at Codecov.

Legend - Click here to learn more
Δ = absolute <relative> (impact), ø = not affected, ? = missing data
Powered by Codecov. Last update a5c5781...0deafc9. Read the comment docs.