Fix L2-SVM invalid label validation #2329
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Convert warning to error when Y contains invalid number of binary labels. This prevents the algorithm from continuing with malformed data which could lead to unpredictable training results. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
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Unfortunately it is not so simple to resolve the TODO, there are other functions that currently are calling L2SVM and sometimes with incorrect arguments. To resolve the support I think we need to introduce error handling in SystemDS to have something like try catch semantics in the runtime. |
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Convert warning to error when Y contains invalid number of binary labels. This prevents the algorithm from continuing with malformed data which could lead to unpredictable training results.