jgrusewski 88429e0a1d fix(4branch): flatten/unflatten 24 tensors + branch 3 fields + fix stale monitoring ...

Add magnitude head (branch 3) to BranchingWeightSet, GpuBranchPtrs, and all
BF16 mirror structs. Update flatten/unflatten from 20 to 24 individual tensors
(indices 24-25 = bottleneck remain flat-buffer-only). Fix bottleneck index
in experience collector (was 20, now 24). Update all construction sites:
fused_training clone, gradient_budget smoke tests, backtest evaluator.
Fix monitoring comments/labels for 4-branch encoding (dir*mag 3x3), delete
dead `if false` block, delete DELETED marker comments.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

2026-04-08 13:58:12 +02:00

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backtesting

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common

fix: switch tracing to stderr (unbuffered) — stdbuf has no effect on Rust

2026-04-02 16:29:55 +02:00

config

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ctrader-openapi

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data

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database

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market-data

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ml

fix(4branch): flatten/unflatten 24 tensors + branch 3 fields + fix stale monitoring

2026-04-08 13:58:12 +02:00

ml-asset-selection

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ml-backtesting

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ml-checkpoint

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ml-core

fix: restore explicit buffer_size in GPU profiles (auto-sizing removed)

2026-04-04 01:24:19 +02:00

ml-data

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ml-data-validation

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ml-dqn

feat(4branch): DQN 4-head branching network + training loop diversity logging

2026-04-08 13:15:07 +02:00

ml-ensemble

feat(ensemble): GPU-native ensemble reduce kernel, remove CPU fallbacks

2026-03-29 22:35:37 +02:00

ml-explainability

feat(ensemble): GPU-native ensemble reduce kernel, remove CPU fallbacks

2026-03-29 22:35:37 +02:00

ml-features

fix: test reads threshold from dqn-smoketest.toml — no hardcoded values

2026-03-31 12:37:25 +02:00

ml-hyperopt

refactor: LHS is the correct algorithm for small budgets, not a fallback

2026-03-29 19:18:47 +02:00

ml-labeling

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ml-observability

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ml-paper-trading

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ml-ppo

feat: add PPO CUDA kernels and curiosity inference kernel

2026-03-31 00:39:59 +02:00

ml-regime

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ml-regime-detection

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ml-risk

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ml-security

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ml-stress-testing

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ml-supervised

feat(bf16): ml-dqn, ml-ppo, ml-supervised, ml-ensemble, ml-explainability compile clean

2026-03-28 01:51:45 +01:00

ml-universe

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ml-validation

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model_loader

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risk

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risk-data

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storage

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trading_engine

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trading-data

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training_uploader

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