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  • tsml_eval/_wip/rt/transformations/collection/imbalance/LGD_VAE

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tsml_eval/_wip/rt/transformations/collection/imbalance/LGD_VAE/config.yaml

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@@ -6,10 +6,10 @@ experiment:
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paths:
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data_root: "/scratch/cq2u24/Data/imbalanced_9_1"
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work_root: "/scratch/cq2u24/models/MGD_CVAE_v23_re"
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logs_dir: "/scratch/cq2u24/models/MGD_CVAE_v23_re/logs" # 不用 ${} 插值
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ckpt_dir: "/scratch/cq2u24/models/MGD_CVAE_v23_re/checkpoints"
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outputs_dir: "/scratch/cq2u24/models/MGD_CVAE_v23_re/imputations"
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work_root: "/scratch/cq2u24/models/MGD_CVAE_re_2"
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logs_dir: "/scratch/cq2u24/models/MGD_CVAE_re_2/logs" # 不用 ${} 插值
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ckpt_dir: "/scratch/cq2u24/models/MGD_CVAE_re_2/checkpoints"
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outputs_dir: "/scratch/cq2u24/models/MGD_CVAE_re_2/imputations"
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data:
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# 由 CLI 覆盖:--dataset_name <UCR_NAME>
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optim:
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optimizer: "adamw"
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lr: 0.01
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lr: 0.001
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weight_decay: 0.01
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betas: [0.9, 0.999]
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scheduler: "cosine"
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# —— 新增:配合 train.py 里 callbacks 的访问 ——
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callbacks:
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checkpointing:
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dirpath: "/scratch/cq2u24/models/MGD_CVAE_v23_re/checkpoints"
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dirpath: "/scratch/cq2u24/models/MGD_CVAE_re_2/checkpoints"
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filename: "MGD_CVAE-{epoch:02d}"
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monitor: "eval_f1_min"
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mode: "max"

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