fix(us-ci-004): refine TransferLearning cross-domain exception messages

[ooples]

Summary

• Refined InvalidOperationException messages in TransferNeuralNetwork.cs and TransferRandomForest.cs
• Simplified messages to align with user story Option 2 guidance
• Clearer API direction: directs users to public Transfer() method that accepts source data
• Removed redundant technical details about API limitations
• Messages now more concise and actionable

Changes Made

TransferNeuralNetwork.cs:

• Updated TransferCrossDomain exception message to be more concise
• Focuses on the solution (use public Transfer method) rather than the problem

TransferRandomForest.cs:

• Updated TransferCrossDomain exception message to match TransferNeuralNetwork
• Consistent messaging across both transfer learning implementations

Test Plan

• Build passes with 0 errors in modified files (net8.0 target)
• Exception messages are clear and actionable
• Public Transfer() methods provide proper cross-domain functionality
• Transfer learning API works correctly across domains (existing functionality)

Acceptance Criteria Met

• TransferCrossDomain methods throw InvalidOperationException (not NotImplementedException)
• Exception messages provide clear explanation and guidance
• API for cross-domain transfer learning is clear and usable via public Transfer() method

🤖 Generated with Claude Code

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Summary by CodeRabbit

• Bug Fixes
  • Improved error messages in transfer learning algorithms to provide clearer guidance when cross-domain transfers are invoked, directing users to use the appropriate public methods.

Walkthrough

Exception messages in two transfer learning algorithm classes are updated to provide clearer guidance. Users attempting cross-domain transfer through protected methods are now directed to use the public Transfer method that accepts both source and target data.

Changes

Cohort / File(s)	Summary
Cross-domain transfer exception messages src/TransferLearning/Algorithms/TransferNeuralNetwork.cs, src/TransferLearning/Algorithms/TransferRandomForest.cs	Updated InvalidOperationException messages in TransferCrossDomain methods to clarify that cross-domain transfer requires the public Transfer method accepting both source and target data, rather than the protected path

Estimated code review effort

🎯 1 (Trivial) | ⏱️ ~3 minutes

• Exception message text updates only; no logic changes
• Identical pattern applied consistently across two similar classes

Poem

🐰 A clearer path the rabbit spied,
Exception whispers, gently guide,
"Use public Transfer!" the message sings,
No mysteries—just helpful things! 🥕

Pre-merge checks and finishing touches

✅ Passed checks (3 passed)

Check name	Status	Explanation
Title Check	✅ Passed	The title "fix(us-ci-004): refine TransferLearning cross-domain exception messages" directly and accurately describes the main change in the pull request. The raw summary confirms that both modified files (TransferNeuralNetwork.cs and TransferRandomForest.cs) had their InvalidOperationException messages refined for clarity and to better guide users to the public Transfer() method. The title is specific, concise, and clearly communicates the primary change without vague language or unnecessary details.
Description Check	✅ Passed	The pull request description is well-structured and directly related to the changeset. It provides a clear summary of what was refined (exception messages in TransferNeuralNetwork.cs and TransferRandomForest.cs), explains the rationale (aligning with user story guidance, removing redundant details, making messages more actionable), and outlines specific changes in each file along with test plans and acceptance criteria. The description demonstrates meaningful engagement with the changes and their purpose.
Docstring Coverage	✅ Passed	Docstring coverage is 100.00% which is sufficient. The required threshold is 80.00%.

✨ Finishing touches

• 📝 Generate docstrings

🧪 Generate unit tests (beta)

• Create PR with unit tests
• Post copyable unit tests in a comment
• Commit unit tests in branch fix/us-ci-004-transfer-learning-cross-domain

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📜 Recent review details

Configuration used: CodeRabbit UI

Review profile: CHILL

Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between 0fdae03 and 9bcf6b7.

📒 Files selected for processing (2)

• src/TransferLearning/Algorithms/TransferNeuralNetwork.cs (1 hunks)
• src/TransferLearning/Algorithms/TransferRandomForest.cs (1 hunks)

🔇 Additional comments (2)

src/TransferLearning/Algorithms/TransferNeuralNetwork.cs (1)

60-61: LGTM! Exception message is clear and actionable.

The refined exception message effectively explains the limitation and directs users to the correct public method with the proper signature. This improves the developer experience by making the cross-domain transfer API clearer.

src/TransferLearning/Algorithms/TransferRandomForest.cs (1)

81-82: LGTM! Consistent messaging across transfer learning implementations.

The exception message matches the one in TransferNeuralNetwork.cs, ensuring consistent guidance across both transfer learning algorithms. This consistency improves the API's usability and helps users understand the correct pattern for cross-domain transfer.

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[ooples]

@coderabbitai full review

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Full review triggered.