Datasetsplitter now autoselect suitable KFold splitter based on input…

[AKuederle]

…s. Closes #121

[codecov-commenter]

Codecov Report

Attention: Patch coverage is 97.67442% with 1 line in your changes missing coverage. Please review.

Project coverage is 92.60%. Comparing base (0ed4cd5) to head (0366751).

Files with missing lines	Patch %	Lines
tpcp/validate/_cross_val_helper.py	95.83%	1 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##             main     #124      +/-   ##
==========================================
+ Coverage   92.52%   92.60%   +0.07%     
==========================================
  Files          28       28              
  Lines        2435     2473      +38     
==========================================
+ Hits         2253     2290      +37     
- Misses        182      183       +1     

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[Copilot]

Pull Request Overview

This PR enhances the DatasetSplitter class to automatically select appropriate cross-validation splitters based on provided parameters and adds validation to ensure proper parameter handling across the codebase. The changes close issue #121 by implementing auto-selection functionality for K-fold splitters.

• Auto-selection of appropriate splitters (KFold, StratifiedKFold, GroupKFold, StratifiedGroupKFold) based on groupby and stratify parameters
• Added validation warnings when incompatible splitters are used with grouping/stratification features
• Enhanced parameter validation in base classes to ensure proper implementation patterns

Reviewed Changes

Copilot reviewed 5 out of 5 changed files in this pull request and generated 5 comments.

Show a summary per file

File	Description
tpcp/validate/_cross_val_helper.py	Enhanced DatasetSplitter with auto-selection logic and validation warnings
tpcp/_base.py	Added strict parameter validation and improved factory handling
tests/test_pipelines/test_validate.py	Added comprehensive tests for auto-selection and validation warnings
tests/test_base.py	Updated tests for new parameter validation behavior
CHANGELOG.md	Documented breaking changes and new features

Comments suppressed due to low confidence (1)

tpcp/validate/_cross_val_helper.py:43

• [nitpick] The parameter name 'ignore_potentially_invalid_splitter_warning' is very long and could be shortened to something like 'ignore_validation_warning' or 'suppress_warnings' for better readability.

    ignore_potentially_invalid_splitter_warning