UPDATE: MAPIEv1 Backend - Split .fit into .fit_single_estimator and fit_multi_estimator

[jawadhussein462]

…_multi_estimators

Description

This PR refactors the MAPIE ibrary by splitting the .fit method in EnsembleRegressor into two distinct methods: .fit_single_estimator and .fit_multi_estimators. The goal is to enhance modularity, readability, and maintainability of the codebase.

This refactoring is part of an ongoing effort to align the MAPIE library with modern software engineering practices. It ensures better scalability, maintainability, and adaptability for future features or modifications. The changes also address the growing need to handle single and multi-estimator workflows distinctly in the library.

1. Refactoring .fit Logic:

   • The .fit method is now divided into:
     • .fit_single_estimator: Handles the fitting logic for a single estimator.
     • .fit_multi_estimators: Handles the fitting logic for multiple estimators in an ensemble.

2. Reorganization of v0 and v1 Components:

   • **v0 **:
     • v0.conformlize:
       Combines logic for fit_multi_estimators and calibration-based prediction (predict_calib).
     • v0.fit:
       Combines fit_single_estimator and conformlize to handle the full fitting process.
   • v1:
     • v1.fit:
       Only includes fit_single_estimator, streamlining the single-estimator fitting process.
     • v1.conformlize:
       Retains the structure of v0.conformlize, combining multi-estimator fitting and prediction calibration.

Type of change

• New feature Non-breaking change which adds functionality

Checklist

• I have read the contributing guidelines
• I have updated the HISTORY.rst and AUTHORS.rst files
• Linting passes successfully : make lint
• Typing passes successfully : make type-check
• Unit tests pass successfully : make tests
• Coverage is 100% : make coverage
• Documentation builds successfully and without warnings : make doc

[codecov-commenter]

Codecov Report

All modified and coverable lines are covered by tests ✅

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Additional details and impacted files

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  Hits          ?      6001           
  Misses        ?         0           
  Partials      ?         0           

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[Valentin-Laurent]

Good job 💪🏻
Few comments