Fix Issue 375

[ooples]

Implements tests for issue #375 - achieving 80%+ test coverage for advanced fit detector implementations:

Test Files Added:

• BayesianFitDetectorTests.cs (17 tests)

  • Tests DIC, WAIC, LOO metric calculations
  • Validates Bayesian fit type determination (GoodFit, Overfit, Underfit, Unstable)
  • Verifies confidence level calculation using Posterior Predictive Check and Bayes Factor
  • Tests custom threshold behavior
  • Validates recommendations for different fit types

• InformationCriteriaFitDetectorTests.cs (19 tests)

  • Tests AIC/BIC formula validation
  • Validates fit type determination across training, validation, and test sets
  • Tests baseline model comparisons
  • Verifies confidence calculation based on metric consistency
  • Tests high variance and unstable fit detection
  • Validates custom threshold options

• AdaptiveFitDetectorTests.cs (20 tests)

  • Tests adaptive detector selection based on data complexity
  • Validates model performance assessment
  • Tests threshold learning mechanisms
  • Verifies data-distribution-based adjustments
  • Tests integration with ResidualAnalysisFitDetector, LearningCurveFitDetector, and HybridFitDetector
  • Validates custom complexity and performance thresholds

• HybridFitDetectorTests.cs (17 tests)

  • Tests problem classification accuracy
  • Validates detector routing logic
  • Tests confidence level combination strategies
  • Verifies recommendation aggregation from multiple detectors
  • Tests reproducibility and consistency
  • Validates component detector integration

Test Coverage Details:

• Each test file includes tests for both double and float type parameters
• Constructor tests with default and custom options
• Null/edge case handling
• Custom threshold behavior validation
• Recommendation content verification
• Confidence level bounds checking
• Type parameter flexibility tests

All tests follow the project's established testing patterns:

• xUnit framework
• Arrange-Act-Assert structure
• Clear test naming conventions
• Comprehensive assertions
• Uses reflection where necessary for testing internal state

Total: 73 comprehensive unit tests covering all four advanced fit detectors

User Story / Context

• Reference: [US-XXX] (if applicable)
• Base branch: merge-dev2-to-master

Summary

• What changed and why (scoped strictly to the user story / PR intent)

Verification

• Builds succeed (scoped to changed projects)
• Unit tests pass locally
• Code coverage >= 90% for touched code
• Codecov upload succeeded (if token configured)
• TFM verification (net46, net6.0, net8.0) passes (if packaging)
• No unresolved Copilot comments on HEAD

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📥 Commits

Reviewing files that changed from the base of the PR and between 4bbb1b8 and b945940.

📒 Files selected for processing (4)

• tests/AiDotNet.Tests/UnitTests/FitDetectors/AdaptiveFitDetectorTests.cs (1 hunks)
• tests/AiDotNet.Tests/UnitTests/FitDetectors/BayesianFitDetectorTests.cs (1 hunks)
• tests/AiDotNet.Tests/UnitTests/FitDetectors/HybridFitDetectorTests.cs (1 hunks)
• tests/AiDotNet.Tests/UnitTests/FitDetectors/InformationCriteriaFitDetectorTests.cs (1 hunks)

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✨ Finishing touches

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• Create PR with unit tests
• Post copyable unit tests in a comment
• Commit unit tests in branch claude/fix-issue-375-011CUw62uGm5bk54mDLZbrdW

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[Copilot]

Pull Request Overview

This PR introduces comprehensive unit test coverage for four fit detector classes in the AiDotNet machine learning library. The tests validate detection of various fit types (good fit, overfit, underfit, high variance, unstable) and verify that detectors work correctly with different configurations and data types.

• Adds 488 lines of tests for InformationCriteriaFitDetector covering AIC/BIC metrics
• Adds 461 lines of tests for HybridFitDetector covering combined detection strategies
• Adds 427 lines of tests for BayesianFitDetector covering Bayesian statistical metrics
• Adds 508 lines of tests for AdaptiveFitDetector covering adaptive detection based on data complexity

Reviewed Changes

Copilot reviewed 4 out of 4 changed files in this pull request and generated 2 comments.

File	Description
InformationCriteriaFitDetectorTests.cs	Tests for fit detection using AIC and BIC information criteria thresholds
HybridFitDetectorTests.cs	Tests for combined fit detection using multiple detector components
BayesianFitDetectorTests.cs	Tests for fit detection using Bayesian metrics (DIC, WAIC, LOO, posterior checks)
AdaptiveFitDetectorTests.cs	Tests for adaptive fit detection that selects strategies based on data complexity and performance

Comments suppressed due to low confidence (1)

tests/AiDotNet.Tests/UnitTests/FitDetectors/AdaptiveFitDetectorTests.cs:1

• Repeated reflection-based property setting pattern is duplicated across CreateTestEvaluationData method and the float test. Consider extracting a helper method to reduce duplication and improve maintainability.

using AiDotNet.Enums;

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