Integrate mlflow tracking for sklearn based tasks

[lorenzomammana]

Summary

### [2.7.2]

#### Added

- MLflow tracking for sklearn classification and patch classification tasks (metrics, artifacts, and model uploads)

#### Updated

- Minor UI improvements to segmentation datamodule, reduce OOM risk in segmentation test when running with thousands of images.

Type of Change

• New feature (non-breaking change that adds functionality)

Checklist

Please confirm that the following tasks have been completed:

• I have tested my changes locally and they work as expected. (Please describe the tests you performed.)
• I have added unit tests for my changes, or updated existing tests if necessary.
• I have updated the documentation, if applicable.
• I have installed pre-commit and run locally for my code changes.

[Copilot]

Pull request overview

This pull request integrates MLflow tracking capabilities for sklearn-based classification tasks, extending existing MLflow support beyond PyTorch Lightning workflows.

Changes:

• Refactored MLflow artifact uploading logic from utils.py into a dedicated mlflow.py module
• Implemented SklearnMLflowClient and mixin classes for sklearn task tracking
• Added MLflow logging hooks to sklearn classification and patch classification tasks

Reviewed changes

Copilot reviewed 9 out of 9 changed files in this pull request and generated 1 comment.

Show a summary per file

File	Description
quadra/utils/utils.py	Removed deprecated finish() function and related imports after moving MLflow logic to dedicated module
quadra/utils/mlflow.py	Added sklearn MLflow client, mixins, and helper functions; refactored Lightning artifact upload logic
quadra/tasks/base.py	Updated to call new upload_lightning_artifacts() instead of deprecated finish()
quadra/tasks/classification.py	Integrated SklearnClassificationMLflowMixin and added MLflow logging lifecycle hooks
quadra/tasks/patch.py	Integrated SklearnPatchMLflowMixin and added MLflow logging lifecycle hooks
quadra/tasks/segmentation.py	Added .cpu() calls to prevent GPU memory accumulation during test data collection
quadra/datamodules/segmentation.py	Added progress bar for split file reading; corrected docstring default value
quadra/configs/experiment/base/classification/sklearn_classification.yaml	Added MLflow logger configuration and artifact upload settings
quadra/configs/experiment/base/classification/sklearn_classification_patch.yaml	Added MLflow logger configuration and artifact upload settings

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[Copilot]

Corrected double period '..' to single period '.' in docstring

Suggested change

	config: Configuration composed by Hydra..
	config: Configuration composed by Hydra.