AiDotNet icon indicating copy to clipboard operation
AiDotNet copied to clipboard
verified publisher icon ooples

Fix Issue 375

Open ooples opened this issue 2 months ago • 1 comments

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

Copilot Review Loop (Outcome-Based)

Record counts before/after your last push:

  • Comments on HEAD BEFORE: [N]
  • Comments on HEAD AFTER (60s): [M]
  • Final HEAD SHA: [sha]

Files Modified

  • [ ] List files changed (must align with scope)

Notes

  • Any follow-ups, caveats, or migration details

ooples avatar Nov 08 '25 21:11 ooples

[!WARNING]

Rate limit exceeded

@ooples has exceeded the limit for the number of commits or files that can be reviewed per hour. Please wait 2 minutes and 6 seconds before requesting another review.

⌛ How to resolve this issue?

After the wait time has elapsed, a review can be triggered using the @coderabbitai review command as a PR comment. Alternatively, push new commits to this PR.

We recommend that you space out your commits to avoid hitting the rate limit.

🚦 How do rate limits work?

CodeRabbit enforces hourly rate limits for each developer per organization.

Our paid plans have higher rate limits than the trial, open-source and free plans. In all cases, we re-allow further reviews after a brief timeout.

Please see our FAQ for further information.

📥 Commits

Reviewing files that changed from the base of the PR and between 3ee745eb87a17739672eeddd26fb0a599dab14ae and 0bc4fc1b78d9f235625be406ab66a5c599944b35.

📒 Files selected for processing (2)
  • tests/AiDotNet.Tests/UnitTests/FitDetectors/AdaptiveFitDetectorTests.cs (1 hunks)
  • tests/AiDotNet.Tests/UnitTests/FitDetectors/HybridFitDetectorTests.cs (1 hunks)

[!NOTE]

Other AI code review bot(s) detected

CodeRabbit has detected other AI code review bot(s) in this pull request and will avoid duplicating their findings in the review comments. This may lead to a less comprehensive review.

Walkthrough

Numerical edge-case handling and basis/math corrections were applied across interpolation, decomposition, kernels, windows, outlier, scheduler, and detector modules; confidence/metric computations were clamped or guarded; many new and updated unit/integration tests plus xUnit runner config were added.

Changes

Cohort / File(s) Summary
Matrix decomposition
src/DecompositionMethods/MatrixDecomposition/LuDecomposition.cs		 Ensure diagonal branch sets L[i,j]=1 and explicitly assigns U[i,j]=A[i,j] in partial and complete pivoting paths.
Interpolation — bicubic & splines
src/Interpolation/BicubicInterpolation.cs, src/Interpolation/CatmullRomSplineInterpolation.cs, src/Interpolation/HermiteInterpolation.cs, src/Interpolation/MonotoneCubicInterpolation.cs, src/Interpolation/NaturalSplineInterpolation.cs		 Add exact-match fast paths (bicubic, Catmull-Rom); clamp bicubic neighborhood indices and recompute dx/dy; correct Hermite/Monotone basis formulas; rewrite natural spline coefficient computation to solve tridiagonal system for second derivatives and expand coefficient storage.
Fit detectors
src/FitDetectors/LearningCurveFitDetector.cs, src/FitDetectors/ResidualAnalysisFitDetector.cs		 Clamp learning-curve confidence to [0,1]; introduce SafeConfidence, per-set clamping/normalization of R² and final clamping in residual-analysis detector to avoid div-by-zero/unstable values.
Helpers / Metrics
src/Helpers/StatisticsHelper.cs		 Change AUC behavior: return 0 when dataset lacks both positive and negative classes instead of throwing an exception.
Outlier removal
src/OutlierRemoval/ZScoreOutlierRemoval.cs		 Skip Z-score checks for columns with zero standard deviation to avoid division-by-zero and false outlier flags.
Radial basis functions
src/RadialBasisFunctions/MaternRBF.cs		 Add closed-form half-integer ν cases (0.5, 1.5, 2.5) using x = sqrt(2ν)*scaledR; keep Bessel-based branch for other ν.
Wavelet & normalization
src/WaveletFunctions/FejérKorovkinWavelet.cs		 Guard coefficient normalization: fallback to uniform distribution when sum ≈ 0 and skip normalization when energy ≈ 0.
Window functions
src/WindowFunctions/BlackmanHarrisWindow.cs, src/WindowFunctions/BlackmanWindow.cs, src/WindowFunctions/TukeyWindow.cs		 Adjust Blackman-Harris/Blackman term sign combinations; optimize Tukey with alpha==0 shortcut, precompute halfAlphaN and refactor taper math and boundaries.
Learning rate scheduler
src/LearningRateSchedulers/StepLRScheduler.cs		 Change decay count to floor(step / stepSize) so the first decay occurs at stepSize (decay timing shifted earlier by one step).
Tests & tooling
tests/AiDotNet.Tests/UnitTests/FitDetectors/*, tests/AiDotNet.Tests/IntegrationTests/OutlierRemoval/OutlierRemovalIntegrationTests.cs, tests/AiDotNet.Tests/xunit.runner.json, tests/AiDotNet.Tests/AiDotNetTests.csproj		 Add many new detector unit tests (Adaptive, Bayesian, Hybrid, InformationCriteria), update existing detector tests (GaussianProcess, LearningRateSchedulers), expand outlier integration datasets, add xunit.runner.json and copy rule in test csproj.

Estimated code review effort

🎯 4 (Complex) | ⏱️ ~45 minutes

  • Files/areas needing focused review:
    • src/Interpolation/NaturalSplineInterpolation.cs — tridiagonal system assembly, boundary conditions, coefficient formulas.
    • src/Interpolation/HermiteInterpolation.cs and MonotoneCubicInterpolation.cs — Hermite basis math and interval scaling.
    • src/FitDetectors/ResidualAnalysisFitDetector.cs — SafeConfidence logic, R² normalization, clamping interactions.
    • src/RadialBasisFunctions/MaternRBF.cs — correctness of closed-form half-integer cases and consistency with general branch.
    • New/expanded tests in tests/AiDotNet.Tests/UnitTests/FitDetectors/* — ensure test inputs/assertions align with detector behavior and determinism.
    • Window function sign/formula changes — verify sample/window outputs for regressions.

Possibly related PRs

  • ooples/AiDotNet#454 — Adds extensive unit tests for FitDetectors (overlaps with new/updated detector tests added here).
  • ooples/AiDotNet#497 — Modifies LU decomposition routines; directly related to LU diagonal/pivoting changes in this PR.
  • ooples/AiDotNet#472 — Touches FejérKorovkinWavelet; related to the normalization guards introduced here.

Poem

🐰

I hop through code, adjust a sum,
I set the diagonal, fix the plumb,
I guard the edges, clamp the breeze,
Tests sprout carrots, kernels please,
A tidy hop — the repo hums.

Pre-merge checks and finishing touches

❌ Failed checks (1 warning, 1 inconclusive)
Check name Status Explanation Resolution
Docstring Coverage ⚠️ Warning Docstring coverage is 25.00% which is insufficient. The required threshold is 80.00%. You can run @coderabbitai generate docstrings to improve docstring coverage.
Title check ❓ Inconclusive The title 'Fix Issue 375' is vague and does not convey the actual scope of changes. While it references an issue number, it does not describe what the PR accomplishes (adding 73 unit tests for fit detectors). Consider a more descriptive title such as 'Add comprehensive unit tests for advanced fit detectors' or 'Implement 80%+ test coverage for BayesianFitDetector, InformationCriteriaFitDetector, AdaptiveFitDetector, and HybridFitDetector'.
✅ Passed checks (1 passed)
Check name Status Explanation
Description check ✅ Passed The PR description is well-structured, comprehensive, and clearly relates to the changeset by detailing all four new test files, test counts, coverage goals, and testing patterns used.

Thanks for using CodeRabbit! It's free for OSS, and your support helps us grow. If you like it, consider giving us a shout-out.

❤️ Share

Comment @coderabbitai help to get the list of available commands and usage tips.

coderabbitai[bot] avatar Nov 08 '25 21:11 coderabbitai[bot]

Quality Gate Passed Quality Gate passed

Issues
57 New issues
0 Accepted issues

Measures
0 Security Hotspots
82.5% Coverage on New Code
0.3% Duplication on New Code

See analysis details on SonarQube Cloud

sonarqubecloud[bot] avatar Dec 13 '25 16:12 sonarqubecloud[bot]