Three fixes validated by 20/20 hyperopt trials on H100 (zero OOM): 1. Workspace default-features: ml-core, ml-dqn, ml-ppo, ml-supervised workspace deps now have default-features=false. Prevents cudarc (which requires nvcc) from leaking into CPU service builds via Cargo feature unification. CI compile-services was failing with "Failed to execute nvcc: No such file or directory" (exit 101). 2. BF16 comparison fix: Candle's gt()/le() don't support BF16 operands. Cast ADX/CUSUM features to F32 before threshold comparison in regime classification. Previous approach (cast threshold to BF16) failed due to Candle broadcast_as reverting dtype. 3. CI pipeline: expand ML change detection to all 14 sub-crates, add component:compile labels for sccache network policy matching, bump training runtime to CUDA 12.6 + Ubuntu 24.04 (glibc 2.39). Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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