forked from JointCloud/JCC-DeepOD
88 lines
1.0 KiB
YAML
88 lines
1.0 KiB
YAML
DIF:
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rep_dim: 20
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hidden_dims: 32
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n_ensemble: 50
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n_estimators: 6
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DeepSVDDTS:
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network: Transformer
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rep_dim: 64
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hidden_dims: 512
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act: GELU
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lr: 0.00001
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epochs: 20
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batch_size: 128
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epoch_steps: -1
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TranAD:
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lr: 0.001
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epochs: 10
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batch_size: 128
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epoch_steps: -1
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USAD:
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hidden_dims: 100
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lr: 1e-3
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epochs: 10
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batch_size: 128
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COUTA:
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neg_batch_ratio: 0.2
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alpha: 0.1
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rep_dim: 16
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hidden_dims: 16
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lr: 0.0001
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epochs: 20
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batch_size: 64
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TcnED:
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epochs: 100
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lr: 0.00015
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dropout: 0.42
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kernel_size: 2
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rep_dim: 8
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hidden_dims: '8,8'
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batch_size: 512
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AnomalyTransformer:
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lr: 0.0001
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epochs: 10
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batch_size: 32
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k: 3
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TimesNet:
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lr: 0.0001
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batch_size: 128
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epochs: 10
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pred_len: 0
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e_layers: 2
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d_model: 64
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d_ff: 64
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dropout: 0.1
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top_k: 5
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num_kernels: 6
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RoSAS:
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epoch_steps: 16
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epochs: 200
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batch_size: 32
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lr: 0.005
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n_emb: 128
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alpha: 0.5
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margin: 1
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beta: 1
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DCdetector:
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patch_size: [1,3,5]
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batch_size: 128
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epochs: 10
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lr: 0.0001
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n_heads: 1
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d_model: 256
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e_layers: 3
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