↓ 1 callersMethodforward(self, x_enc, x_dec, x_mark_enc = None, x_mark_dec = None,
enc_self_mask=None, dec_self_mask=None
LDPS_Graph/models/FEDformer.py:163
Method__init__(self, B, H, L, index, scores, device="cpu")
LDPS_Graph/utils/masking.py:16
Method__init__(self, ich=1, k=8, alpha=16, c=128,
nCZ=1, L=0, base='legendre', attention_dropout=0.1)
LDPS_Graph/layers/MultiWaveletCorrelation.py:25
Method__init__(self, in_channels, out_channels, seq_len_q, seq_len_kv, modes, c=64,
k=8, ich=512,
LDPS_Graph/layers/MultiWaveletCorrelation.py:65
Method__init__(self, in_channels, out_channels, seq_len_q, seq_len_kv, modes=16, activation='tanh',
mode_se
LDPS_Graph/layers/MultiWaveletCorrelation.py:213
Method__init__(self,
k, alpha, c=1,
nl=1,
initializer=None,
LDPS_Graph/layers/MultiWaveletCorrelation.py:262
Method__init__(self, attention, d_model, d_ff=None, moving_avg=25, dropout=0.1, activation="relu")
LDPS_Graph/layers/Autoformer_EncDec.py:76
Method__init__(self, self_attention, cross_attention, d_model, c_out, d_ff=None,
moving_avg=25, dropout=0.1
LDPS_Graph/layers/Autoformer_EncDec.py:135
Method__init__(self, c_in:int, context_window:int, target_window:int, patch_len:int, stride:int, max_seq_len:Optional[int]=1
LDPS_Graph/layers/PatchTST_backbone.py:19
Method__init__(self, individual, n_vars, nf, target_window, head_dropout=0)
LDPS_Graph/layers/PatchTST_backbone.py:93
Method__init__(self, c_in, patch_num, patch_len, max_seq_len=1024,
n_layers=3, d_model=128, n_heads=16, d_k
LDPS_Graph/layers/PatchTST_backbone.py:131
Method__init__(self, q_len, d_model, n_heads, d_k=None, d_v=None, d_ff=None,
norm='BatchNorm', attn
LDPS_Graph/layers/PatchTST_backbone.py:182
Method__init__(self, q_len, d_model, n_heads, d_k=None, d_v=None, d_ff=256, store_attn=False,
norm='BatchNo
LDPS_Graph/layers/PatchTST_backbone.py:210
Method__init__(self, in_channels,out_channels=1, gama=0.95, K =1, bias =True)
LDPS_Graph/layers/PatchTST_backbone.py:422
Method__init__(self, d_model, n_heads, attn_dropout=0., res_attention=False, lsa=False)
LDPS_Graph/layers/PatchTST_backbone.py:514
Method__init__(self, in_channels, out_channels, seq_len_q, seq_len_kv, modes=64, mode_select_method='random',
LDPS_Graph/layers/FourierCorrelation.py:68
Method__init__(self, mask_flag=True, factor=5, scale=None, attention_dropout=0.1, output_attention=False)
LDPS_Graph/layers/SelfAttention_Family.py:45
Method__init__(self, attention, d_model, n_heads, d_keys=None,
d_values=None)
LDPS_Graph/layers/SelfAttention_Family.py:135
Method__init__(self, attention, d_model, d_ff=None, dropout=0.1, activation="relu")
LDPS_Graph/layers/Transformer_EncDec.py:28
Method__init__(self, self_attention, cross_attention, d_model, d_ff=None,
dropout=0.1, activation="relu")
LDPS_Graph/layers/Transformer_EncDec.py:82
Method__init__(self, correlation, d_model, n_heads, d_keys=None,
d_values=None)
LDPS_Graph/layers/AutoCorrelation.py:133
Method__init__(self, root_path, flag='train', size=None,
features='S', data_path='ETTh1.csv',
LDPS_Graph/data_provider/data_loader.py:15
Method__init__(self, root_path, flag='train', size=None,
features='S', data_path='ETTm1.csv',
LDPS_Graph/data_provider/data_loader.py:103
Method__init__(self, root_path, flag='train', size=None,
features='S', data_path='ETTh1.csv',
LDPS_Graph/data_provider/data_loader.py:193
Method__init__(self, root_path, flag='pred', size=None,
features='S', data_path='ETTh1.csv',
LDPS_Graph/data_provider/data_loader.py:294
Method__init__( self, data_path, edge_path=None, lags = 3, p_len=1, partition = 8, train=True,timeenc=0)
LDPS_Graph/data_provider/gdata_loader2.py:11