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Functions1,009 in github.com/DAMO-DI-ML/NeurIPS2023-One-Fits-All

⨍ Functions 1,009◇ Types & classes 319
Method__init__
(self, c_in, d_model)
Few-shot_Learning/embed.py:45
Method__init__
(self, d_model, embed_type='fixed', freq='h')
Few-shot_Learning/embed.py:65
Method__init__
(self, d_model, embed_type='timeF', freq='h')
Few-shot_Learning/embed.py:95
Method__init__
(self, c_in, d_model, embed_type='fixed', freq='h', dropout=0.1)
Few-shot_Learning/embed.py:123
Method__init__
(self, c_in, d_model, embed_type='fixed', freq='h', dropout=0.1)
Few-shot_Learning/embed.py:139
Method__init__
(self)
Few-shot_Learning/main.py:143
Method__init__
(self, patience=7, verbose=False, delta=0)
Few-shot_Learning/utils/tools.py:44
Method__init__
(self, mean, std)
Few-shot_Learning/utils/tools.py:83
Method__init__
(self)
Few-shot_Learning/utils/timefeatures.py:10
Method__init__
(self, root_path, flag='train', size=None, features='S', data_path='ETTh1.csv',
Few-shot_Learning/data_provider/data_loader.py:16
Method__init__
(self, root_path, flag='train', size=None, features='S', data_path='ETTm1.csv',
Few-shot_Learning/data_provider/data_loader.py:115
Method__init__
(self, root_path, flag='train', size=None, features='S', data_path='ETTh1.csv',
Few-shot_Learning/data_provider/data_loader.py:212
Method__init__
(self, root_path, flag='pred', size=None, features='S', data_path='ETTh1.csv',
Few-shot_Learning/data_provider/data_loader.py:320
Method__init__
(self, root_path, flag='train', size=None, features='S', data_path=None, tar
Few-shot_Learning/data_provider/data_loader.py:427
Method__init__
(self, configs, device)
Few-shot_Learning/models/GPT4TS.py:14
Method__init__
(self, kernel_size, stride)
Few-shot_Learning/models/DLinear.py:10
Method__init__
(self, kernel_size)
Few-shot_Learning/models/DLinear.py:29
Method__init__
(self, attention, d_model, n_heads, d_keys=None, d_values=None)
Few-shot_Learning/models/PatchTST.py:17
Method__init__
(self, mask_flag=True, factor=5, scale=None, attention_dropout=0.1, output_attention=False, c
Few-shot_Learning/models/PatchTST.py:51
Method__init__
(self, attention, d_model, d_ff=None, dropout=0.1, activation="relu")
Few-shot_Learning/models/PatchTST.py:88
Method__init__
(self, configs, device)
Few-shot_Learning/models/PatchTST.py:145
Method__init__
(self, d_model, max_len=5000)
Long-term_Forecasting/embed.py:9
Method__init__
(self, c_in, d_model)
Long-term_Forecasting/embed.py:29
Method__init__
(self, c_in, d_model)
Long-term_Forecasting/embed.py:45
Method__init__
(self, d_model, embed_type='fixed', freq='h')
Long-term_Forecasting/embed.py:65
Method__init__
(self, d_model, embed_type='timeF', freq='h')
Long-term_Forecasting/embed.py:95
Method__init__
(self, c_in, d_model, embed_type='fixed', freq='h', dropout=0.1)
Long-term_Forecasting/embed.py:123
Method__init__
(self, c_in, d_model, embed_type='fixed', freq='h', dropout=0.1)
Long-term_Forecasting/embed.py:139
Method__init__
(self)
Long-term_Forecasting/main.py:143
Method__init__
(self, patience=7, verbose=False, delta=0)
Long-term_Forecasting/utils/tools.py:44
Method__init__
(self, mean, std)
Long-term_Forecasting/utils/tools.py:83
Method__init__
(self)
Long-term_Forecasting/utils/timefeatures.py:10
Method__init__
(self, root_path, flag='train', size=None, features='S', data_path='ETTh1.csv',
Long-term_Forecasting/data_provider/data_loader.py:16
Method__init__
(self, root_path, flag='train', size=None, features='S', data_path='ETTm1.csv',
Long-term_Forecasting/data_provider/data_loader.py:115
Method__init__
(self, root_path, flag='train', size=None, features='S', data_path='ETTh1.csv',
Long-term_Forecasting/data_provider/data_loader.py:212
Method__init__
(self, root_path, flag='pred', size=None, features='S', data_path='ETTh1.csv',
Long-term_Forecasting/data_provider/data_loader.py:320
Method__init__
(self, root_path, flag='train', size=None, features='S', data_path=None, tar
Long-term_Forecasting/data_provider/data_loader.py:427
Method__init__
(self, configs, device)
Long-term_Forecasting/models/GPT4TS.py:14
Method__init__
(self, kernel_size, stride)
Long-term_Forecasting/models/DLinear.py:10
Method__init__
(self, kernel_size)
Long-term_Forecasting/models/DLinear.py:29
Method__init__
(self, attention, d_model, n_heads, d_keys=None, d_values=None)
Long-term_Forecasting/models/PatchTST.py:17
Method__init__
(self, mask_flag=True, factor=5, scale=None, attention_dropout=0.1, output_attention=False, c
Long-term_Forecasting/models/PatchTST.py:51
Method__init__
(self, attention, d_model, d_ff=None, dropout=0.1, activation="relu")
Long-term_Forecasting/models/PatchTST.py:88
Method__init__
(self, configs, device)
Long-term_Forecasting/models/PatchTST.py:145
Method__init__
(self)
Classification/src/options.py:6
Method__init__
(self, *args, **kwargs)
Classification/src/running.py:381
Method__init__
(self, params, lr=1e-3, betas=(0.9, 0.999), eps=1e-8, weight_decay=0, degenerated_to_sgd=True)
Classification/src/optimizers.py:112
Method__init__
(self, params, lr=1e-3, betas=(0.9, 0.999), eps=1e-8, weight_decay=0, warmup=0)
Classification/src/optimizers.py:190
Method__init__
(self, maxcharlength=35, plot=False, print_conf_mat=False, output_filepath=None)
Classification/src/utils/analysis.py:208
Method__init__
(self, console=True)
Classification/src/utils/utils.py:198
Method__init__
(self, data, indices, mask_feats, start_hint=0.0, end_hint=0.0)
Classification/src/datasets/dataset.py:50
Method__init__
(self, data, indices)
Classification/src/datasets/dataset.py:125
Method__init__
data_indices = train_val_indices | test_indices
Classification/src/datasets/datasplit.py:43
Method__init__
Args: norm_type: choose from: "standardization", "minmax": normalizes dataframe across ALL contained rows (time s
Classification/src/datasets/data.py:24
Method__init__
(self, root_dir, file_list=None, pattern=None, n_proc=1, limit_size=None, config=None)
Classification/src/datasets/data.py:112
Method__init__
(self, root_dir, file_list=None, pattern=None, n_proc=1, limit_size=None, config=None)
Classification/src/datasets/data.py:225
Method__init__
(self, root_dir, file_list=None, pattern=None, n_proc=1, limit_size=None, config=None)
Classification/src/datasets/data.py:351
Method__init__
(self, config, data)
Classification/src/models/gpt4ts.py:18
Method__init__
(self, reduction: str = 'mean')
Classification/src/models/loss.py:46
Method__init__
(self, d_model, dropout=0.1, max_len=1024, scale_factor=1.0)
Classification/src/models/ts_transformer.py:80
Method__init__
(self, d_model, dropout=0.1, max_len=1024)
Classification/src/models/ts_transformer.py:107
Method__init__
(self, d_model, nhead, dim_feedforward=2048, dropout=0.1, activation="relu")
Classification/src/models/ts_transformer.py:150
Method__init__
(self, feat_dim, max_len, d_model, n_heads, num_layers, dim_feedforward, num_classes, dropout
Classification/src/models/ts_transformer.py:256
Method__init__
(self, d_model, max_len=5000)
Classification/src/models/embed.py:9
Method__init__
(self, c_in, d_model)
Classification/src/models/embed.py:30
Method__init__
(self, c_in, d_model)
Classification/src/models/embed.py:46
Method__init__
(self, d_model, embed_type='fixed', freq='h')
Classification/src/models/embed.py:67
Method__init__
(self, d_model, embed_type='timeF', freq='h')
Classification/src/models/embed.py:97
Method__init__
(self, c_in, d_model, embed_type='fixed', freq='h', dropout=0.1)
Classification/src/models/embed.py:130
Method__init__
(self, d_model, patch_len, stride, dropout)
Classification/src/models/embed.py:149
Method__init__
(self, c_in, d_model, embed_type='fixed', freq='h', dropout=0.1)
Classification/src/models/embed.py:176
Method__init__
(self, B, L, device="cpu")
Short-term_Forecasting/utils/masking.py:5
Method__init__
(self, B, H, L, index, scores, device="cpu")
Short-term_Forecasting/utils/masking.py:16
Method__init__
(self, file_path, root_path)
Short-term_Forecasting/utils/m4_summary.py:51
Method__init__
(self, patience=7, verbose=False, delta=0)
Short-term_Forecasting/utils/tools.py:29
Method__init__
(self, mean, std)
Short-term_Forecasting/utils/tools.py:68
Method__init__
(self)
Short-term_Forecasting/utils/losses.py:54
Method__init__
(self)
Short-term_Forecasting/utils/losses.py:72
Method__init__
(self)
Short-term_Forecasting/utils/timefeatures.py:10
Method__init__
(self, d_model, max_len=5000)
Short-term_Forecasting/layers/Embed.py:9
Method__init__
(self, c_in, d_model)
Short-term_Forecasting/layers/Embed.py:30
Method__init__
(self, c_in, d_model)
Short-term_Forecasting/layers/Embed.py:46
Method__init__
(self, d_model, embed_type='fixed', freq='h')
Short-term_Forecasting/layers/Embed.py:67
Method__init__
(self, d_model, embed_type='timeF', freq='h')
Short-term_Forecasting/layers/Embed.py:97
Method__init__
(self, c_in, d_model, embed_type='fixed', freq='h', dropout=0.1)
Short-term_Forecasting/layers/Embed.py:130
Method__init__
(self, d_model, patch_len, stride, dropout)
Short-term_Forecasting/layers/Embed.py:149
Method__init__
(self, c_in, d_model, embed_type='fixed', freq='h', dropout=0.1)
Short-term_Forecasting/layers/Embed.py:176
Method__init__
(self, args)
Short-term_Forecasting/exp/exp_short_term_forecasting.py:20
Method__init__
(self, args)
Short-term_Forecasting/exp/exp_basic.py:9
Method__init__
Args: norm_type: choose from: "standardization", "minmax": normalizes dataframe across ALL contained rows (time s
Short-term_Forecasting/data_provider/uea.py:62
Method__init__
(self, root_path, flag='train', size=None, features='S', data_path='ETTh1.csv',
Short-term_Forecasting/data_provider/data_loader.py:431
Method__init__
(self, root_path, flag='train', size=None, features='S', data_path='ETTm1.csv',
Short-term_Forecasting/data_provider/data_loader.py:524
Method__init__
(self, root_path, flag='train', size=None, features='S', data_path='ETTh1.csv',
Short-term_Forecasting/data_provider/data_loader.py:619
Method__init__
(self, root_path, flag='pred', size=None, features='S', data_path='ETTh1.csv',
Short-term_Forecasting/data_provider/data_loader.py:722
Method__init__
(self, root_path, win_size, step=1, flag="train")
Short-term_Forecasting/data_provider/data_loader.py:801
Method__init__
(self, root_path, win_size, step=1, flag="train")
Short-term_Forecasting/data_provider/data_loader.py:847
Method__init__
(self, root_path, win_size, step=1, flag="train")
Short-term_Forecasting/data_provider/data_loader.py:889
Method__init__
(self, root_path, win_size, step=100, flag="train")
Short-term_Forecasting/data_provider/data_loader.py:932
Method__init__
(self, root_path, win_size, step=1, flag="train")
Short-term_Forecasting/data_provider/data_loader.py:973
Method__init__
(self, root_path, file_list=None, limit_size=None, flag=None)
Short-term_Forecasting/data_provider/data_loader.py:1040
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