22004a7368
Hard refactor — no shims, no compat layers. Candle removed from Cargo.toml and all source files in 6 crates: - ml-core: MlDevice enum, checkpoint.rs (safetensors direct), cudarc imports fixed from candle re-export to direct, AdamWConfig lr_decay, cuda_compat gutted. Net -7,341 lines. - ml-ppo: All 16 files rewritten. LSTM→CudaLSTM, VarMap→GpuVarStore, PPOAgent 2306→700 lines, checkpoint→binary format. - ml-ensemble: GPU-resident sigmoid via custom CUDA kernel. - ml-explainability: Integrated gradients via GPU finite-difference kernels. - ml-labeling: Device→MlDevice. - ml-hyperopt: Cargo.toml only. Remaining: ml-dqn (24 files), ml-supervised (4 files), ml crate (104 files). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
43 lines
1.1 KiB
TOML
43 lines
1.1 KiB
TOML
[package]
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name = "ml-hyperopt"
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version.workspace = true
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edition.workspace = true
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rust-version.workspace = true
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authors.workspace = true
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license.workspace = true
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repository.workspace = true
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homepage.workspace = true
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documentation.workspace = true
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publish.workspace = true
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keywords.workspace = true
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categories.workspace = true
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description = "ML hyperparameter optimization — PSO, TPE, campaigns, sensitivity analysis"
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[features]
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default = ["cuda"]
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cuda = ["ml-core/cuda"]
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[dependencies]
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ml-core = { path = "../ml-core", default-features = false }
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common.workspace = true
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serde = { workspace = true, features = ["derive"] }
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serde_json.workspace = true
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chrono.workspace = true
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tracing.workspace = true
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anyhow.workspace = true
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rand.workspace = true
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rand_distr.workspace = true
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ndarray = { workspace = true, features = ["rayon"] }
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rayon.workspace = true
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statrs.workspace = true
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argmin = { version = "0.8", features = ["rayon"] }
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argmin-math = "0.3"
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[dev-dependencies]
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tokio = { workspace = true, features = ["test-util", "macros"] }
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rand_chacha = "0.3"
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approx = "0.5"
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[lints]
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workspace = true
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