jgrusewski 38e65dace1 fix: checkpoints ranked by val_Sharpe not improvement_rate — rewind to best state ...

train-w2z55 rewound to epoch 0 (improvement_rate=17.3, val_Sharpe=17.3)
instead of epoch 20 (improvement_rate=0.4, val_Sharpe=45.4). The model
lost ALL learned behavior and couldn't re-learn at low cosine LR.

Fix: sort checkpoints by val_Sharpe (highest first). Rewind targets the
BEST state (val_Sharpe=45), not the fastest-climbing moment (epoch 0).
Added val_sharpe field to TrajectoryCheckpoint for proper ranking.

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

2026-04-15 19:14:40 +02:00

..

backtesting

refactor: collapse 9-level to 7-level ExposureLevel — eliminate degenerate Flat variants

2026-04-11 11:54:09 +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

fix: tune log levels across workspace — demote noisy warn to debug/trace

2026-03-14 11:35:15 +01:00

data

fix(clippy): resolve all clippy warnings across entire workspace (--all-targets)

2026-03-13 10:18:35 +01:00

database

fix(clippy): resolve all clippy warnings across entire workspace (--all-targets)

2026-03-13 10:18:35 +01:00

market-data

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ml

fix: checkpoints ranked by val_Sharpe not improvement_rate — rewind to best state

2026-04-15 19:14:40 +02:00

ml-asset-selection

fix(clippy): resolve all clippy warnings across entire workspace (--all-targets)

2026-03-13 10:18:35 +01:00

ml-backtesting

fix(clippy): resolve all clippy warnings across entire workspace (--all-targets)

2026-03-13 10:18:35 +01:00

ml-checkpoint

fix(clippy): resolve all clippy warnings across entire workspace (--all-targets)

2026-03-13 10:18:35 +01:00

ml-core

Revert "refactor: remove ALL bf16 legacy wrappers — pure native f32 across entire codebase"

2026-04-13 17:09:34 +02:00

ml-data

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ml-data-validation

fix(clippy): resolve all clippy warnings across entire workspace (--all-targets)

2026-03-13 10:18:35 +01:00

ml-dqn

feat: wire up all IQL features + remove dead code

2026-04-13 19:28:00 +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

test(data): per-file vs global front-month filter — documents quarterly roll bug

2026-04-08 21:31:46 +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

fix(clippy): ml-supervised + ml-core + thin crates — 34 errors fixed

2026-03-19 00:39:03 +01:00

ml-observability

fix(clippy): resolve all clippy warnings across entire workspace (--all-targets)

2026-03-13 10:18:35 +01:00

ml-paper-trading

fix(clippy): resolve all clippy warnings across entire workspace (--all-targets)

2026-03-13 10:18:35 +01:00

ml-ppo

Revert "refactor: remove ALL bf16 legacy wrappers — pure native f32 across entire codebase"

2026-04-13 17:09:34 +02:00

ml-regime

refactor(cuda): eliminate all CPU fallbacks — CUDA mandatory across ML stack

2026-03-16 21:01:28 +01:00

ml-regime-detection

fix(clippy): resolve all clippy warnings across entire workspace (--all-targets)

2026-03-13 10:18:35 +01:00

ml-risk

fix(clippy): resolve all clippy warnings across entire workspace (--all-targets)

2026-03-13 10:18:35 +01:00

ml-security

fix(clippy): resolve all clippy warnings across entire workspace (--all-targets)

2026-03-13 10:18:35 +01:00

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

fix(clippy): resolve all clippy warnings across entire workspace (--all-targets)

2026-03-13 10:18:35 +01:00

ml-validation

fix(clippy): resolve all clippy warnings across entire workspace (--all-targets)

2026-03-13 10:18:35 +01:00

model_loader

fix(clippy): resolve all clippy warnings across entire workspace (--all-targets)

2026-03-13 10:18:35 +01:00

risk

refactor: eliminate candle from entire workspace — tests, examples, Cargo.toml

2026-03-18 00:53:47 +01:00

risk-data

fix: tune log levels across workspace — demote noisy warn to debug/trace

2026-03-14 11:35:15 +01:00

storage

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trading_engine

fix(ml): BF16/F32 boundary alignment, GPU-resident ops across all ML crates

2026-03-15 11:59:31 +01:00

trading-data

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training_uploader

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