jgrusewski 9fa8c009f6 cleanup(fflag): delete dead enable_gradient_vaccine chain — [FFLAG-012] ...

Same dead-flag chain as FFLAG-011: GpuDqnTrainConfig.enable_gradient_vaccine
→ local vaccine_enabled → GpuDqnTrainer.enable_gradient_vaccine field.
Zero readers for self.enable_gradient_vaccine — the vaccine kernels
(vaccine_dot_kernel, vaccine_project_kernel) run unconditionally. Deleted
field + struct field + local + setter at fused_training, 3 sites total.

2026-04-20 22:39:10 +02:00

..

backtesting

refactor: remove configurable state_dim — use STATE_DIM constant everywhere

2026-04-20 15:29:05 +02:00

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

cleanup(fflag): delete dead enable_gradient_vaccine chain — [FFLAG-012]

2026-04-20 22:39:10 +02:00

ml-asset-selection

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ml-backtesting

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ml-checkpoint

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ml-core

feat: L40S GPU profile + auto-derive cuda-compute-cap from GPU pool

2026-04-20 16:59:06 +02:00

ml-data

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ml-data-validation

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ml-dqn

cleanup: drop 'BUG #37 FIX' tracker preamble — normal code comment

2026-04-20 22:33:12 +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: zen precommit — 2 criticals + 3 lows resolved

2026-04-17 02:05:20 +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

cleanup: rename all _bf16 kernel functions and variables — pure f32 pipeline

2026-04-18 10:19:12 +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

cleanup: remove half crate dependency from entire workspace

2026-04-10 18:54:14 +02:00

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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