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Functions461 in github.com/K-Quant/HiDy

⨍ Functions 461◇ Types & classes 78
↓ 1 callersMethodrun
(self)
other_experiment/fusion/DART.py:655
↓ 1 callersFunctionrun_extraction
(original_news_path, extracted_data_path, input_mode)
company_rel/com_rel_extract.py:11
↓ 1 callersFunctionsave_json
保存成json文件 :param data: :param json_path: :param file_name: :return:
other_experiment/ner_model_selection/bert_based/tools/common.py:152
↓ 1 callersMethodscan_doc_ids
(self)
ner/data_utils/data_utils.py:200
↓ 1 callersFunctionscore
(logits, labels)
other_experiment/FFD_ablation/HAN_exp/main.py:7
↓ 1 callersFunctionsentence_set
(raw_file_list)
company_rel/get_sen_set.py:70
↓ 1 callersMethodset_veracity_and_confidence
(self)
other_experiment/fusion/DART.py:369
↓ 1 callersFunctionsetup
(args)
other_experiment/FFD_ablation/HAN_exp/utils.py:61
↓ 1 callersFunctionsplit_dataset
(x, y)
application/FFD/ffd.py:40
↓ 1 callersMethodstep
Performs a single optimization step. Arguments: closure (callable, optional): A closure that reevaluates the model
other_experiment/ner_model_selection/bert_based/callback/optimizater/adamw.py:31
↓ 1 callersMethodtest
返回最佳模型在测试集上的预测结果
other_experiment/ner_model_selection/bilstm_based/models/bilstm_crf.py:150
↓ 1 callersMethodtest
使用维特比算法进行解码
other_experiment/ner_model_selection/bilstm_based/models/bilstm_crf.py:220
↓ 1 callersMethodtest
(self, word_lists, word2id, tag2id)
other_experiment/ner_model_selection/bilstm_based/models/hmm.py:62
↓ 1 callersMethodtest
(self, sentences)
other_experiment/ner_model_selection/bilstm_based/models/crf.py:25
↓ 1 callersMethodto_dict
Serializes this instance to a Python dictionary.
other_experiment/ner_model_selection/bert_based/processors/ner_seq.py:26
↓ 1 callersMethodto_dict
Serializes this instance to a Python dictionary.
other_experiment/ner_model_selection/bert_based/processors/ner_seq.py:46
↓ 1 callersMethodto_dict
Serializes this instance to a Python dictionary.
other_experiment/ner_model_selection/bert_based/processors/ner_span.py:18
↓ 1 callersMethodto_dict
Serializes this instance to a Python dictionary.
other_experiment/ner_model_selection/bert_based/processors/ner_span.py:41
↓ 1 callersMethodto_json_string
Serializes this instance to a JSON string.
other_experiment/ner_model_selection/bert_based/processors/ner_seq.py:51
↓ 1 callersMethodto_json_string
Serializes this instance to a JSON string.
other_experiment/ner_model_selection/bert_based/processors/ner_span.py:22
↓ 1 callersMethodto_json_string
Serializes this instance to a JSON string.
other_experiment/ner_model_selection/bert_based/processors/ner_span.py:46
↓ 1 callersFunctiontrain
Train the model
other_experiment/ner_model_selection/bert_based/experiment.py:142
↓ 1 callersFunctiontrain
(epoch)
other_experiment/FFD_ablation/GAT_exp/train.py:50
↓ 1 callersMethodtrain
(self, sentences, tag_lists)
other_experiment/ner_model_selection/bilstm_based/models/crf.py:21
↓ 1 callersMethodtrain_step
(self, batch_sents, batch_tags, word2id, tag2id, args)
other_experiment/ner_model_selection/bilstm_based/models/bilstm_crf.py:98
↓ 1 callersMethodtruth_inference
(self, theta)
other_experiment/fusion/DART.py:556
↓ 1 callersMethodtruth_inference_triples
(self, theta)
other_experiment/fusion/DART.py:574
↓ 1 callersMethodupdate_source_recall
(self)
other_experiment/fusion/DART.py:522
↓ 1 callersMethodupdate_source_specificity
(self)
other_experiment/fusion/DART.py:539
↓ 1 callersMethodupdate_veracity_score
(self)
other_experiment/fusion/DART.py:475
↓ 1 callersFunctionuser_input_parse
(file_type, raw_file_list, input_mode="default")
company_rel/get_sen_set.py:97
↓ 1 callersMethodvalidate
(self, dev_word_lists, dev_tag_lists, word2id, tag2id, args)
other_experiment/ner_model_selection/bilstm_based/models/bilstm_crf.py:118
↓ 1 callersMethodvectorize
(self, vec_len, cate2idx)
ner/data_utils/data_utils.py:124
↓ 1 callersMethodwarmup_linear
(self,x, warmup=0.002)
other_experiment/ner_model_selection/bert_based/callback/lr_scheduler.py:118
↓ 1 callersFunctionword2features
抽取单个字的特征
other_experiment/ner_model_selection/bilstm_based/models/util.py:7
Method__call__
(self, docs)
ner/data_utils/data_utils.py:275
Method__call__
(self, step, info={})
other_experiment/ner_model_selection/bert_based/callback/progressbar.py:68
Method__getitem__
(self, key)
ner/data_utils/data_utils.py:41
Method__getitem__
(self, key)
ner/data_utils/data_utils.py:114
Method__getitem__
(self, key)
ner/data_utils/data_utils.py:241
Method__getitem__
(self, idx)
ner/data_utils/data_utils.py:306
Method__getstate__
(self)
other_experiment/ner_model_selection/bert_based/callback/optimizater/lookahead.py:44
Method__gt__
(self, other)
ner/data_utils/data_utils.py:38
Method__gt__
(self, other)
ner/data_utils/data_utils.py:92
Method__init__
(self, doc_id, offset, text, ents)
ner/data_utils/data_utils.py:28
Method__init__
(self, ent_id, category, start_pos, end_pos, text)
ner/data_utils/data_utils.py:85
Method__init__
(self, ents)
ner/data_utils/data_utils.py:110
Method__init__
(self, doc_id, text, ents=[])
ner/data_utils/data_utils.py:160
Method__init__
(self, data_dir, doc_ids=None)
ner/data_utils/data_utils.py:194
Method__init__
(self, window_size=50, pad_size=10)
ner/data_utils/data_utils.py:254
Method__init__
(self, sentences, word2idx=None, cate2idx=None)
ner/data_utils/data_utils.py:283
Method__init__
(self, golden_tags, predict_tags, remove_O=False)
other_experiment/ner_model_selection/bilstm_based/evaluating.py:9
Method__init__
初始化参数： vocab_size:字典的大小 emb_size:词向量的维数 hidden_size：隐向量的维数 out_size:标注的种类
other_experiment/ner_model_selection/bilstm_based/models/bilstm.py:7
Method__init__
功能：对LSTM的模型进行训练与测试 参数: vocab_size:词典大小 out_size:标注种类 crf选择是否添加CRF层
other_experiment/ner_model_selection/bilstm_based/models/bilstm_crf.py:14
Method__init__
初始化参数： vocab_size:字典的大小 emb_size:词向量的维数 hidden_size：隐向量的维数 out_size:标注的种类
other_experiment/ner_model_selection/bilstm_based/models/bilstm_crf.py:189
Method__init__
Args: N: 状态数，这里对应存在的标注的种类 M: 观测数，这里对应有多少不同的字
other_experiment/ner_model_selection/bilstm_based/models/hmm.py:5
Method__init__
(self, algorithm='lbfgs', c1=0.1, c2=0.1,
other_experiment/ner_model_selection/bilstm_based/models/crf.py:7
Method__init__
(self)
other_experiment/ner_model_selection/bert_based/tools/common.py:264
Method__init__
(self, id2label,markup='bios')
other_experiment/ner_model_selection/bert_based/metrics/ner_metrics.py:6
Method__init__
(self, id2label)
other_experiment/ner_model_selection/bert_based/metrics/ner_metrics.py:59
Method__init__
(self, config)
other_experiment/ner_model_selection/bert_based/models/bert_for_ner.py:12
Method__init__
(self, config,)
other_experiment/ner_model_selection/bert_based/models/bert_for_ner.py:68
Method__init__
(self, input_size, hidden_size, output_size, dropout_rate=0)
other_experiment/ner_model_selection/bert_based/models/layers/linears.py:6
Method__init__
(self, hidden_size, num_classes)
other_experiment/ner_model_selection/bert_based/models/layers/linears.py:19
Method__init__
(self, num_tags: int, batch_first: bool = False)
other_experiment/ner_model_selection/bert_based/models/layers/crf.py:28
Method__init__
(self, eps=0.1, reduction='mean',ignore_index=-100)
other_experiment/ner_model_selection/bert_based/losses/label_smoothing.py:5
Method__init__
(self, gamma=2, weight=None,ignore_index=-100)
other_experiment/ner_model_selection/bert_based/losses/focal_loss.py:7
Method__init__
(self, checkpoint_dir, monitor, arch,mode='min', epoch_freq
other_experiment/ner_model_selection/bert_based/callback/modelcheckpoint.py:12
Method__init__
(self,optimizer,lr)
other_experiment/ner_model_selection/bert_based/callback/lr_scheduler.py:81
Method__init__
(self, optimizer, base_lr=1e-3, max_lr=6e-3, step_size=2000, mode='triangular', gamma=1.,
other_experiment/ner_model_selection/bert_based/callback/lr_scheduler.py:143
Method__init__
(self, optimizer, mode='min', factor=0.1, patience=10, verbose=0, epsilon=1e-4, cooldown=0, m
other_experiment/ner_model_selection/bert_based/callback/lr_scheduler.py:261
Method__init__
(self, optimizer, batch_size, epoch_size, restart_period=100, t_mult=2, last_epoch=-1, eta_th
other_experiment/ner_model_selection/bert_based/callback/lr_scheduler.py:409
Method__init__
(self,d_model,factor,warm_up,optimizer)
other_experiment/ner_model_selection/bert_based/callback/lr_scheduler.py:517
Method__init__
(self, model,emb_name,epsilon=1.0)
other_experiment/ner_model_selection/bert_based/callback/adversarial.py:21
Method__init__
(self, model,emb_name,epsilon=1.,alpha=0.3)
other_experiment/ner_model_selection/bert_based/callback/adversarial.py:68
Method__init__
(self, n_total, width=30, desc='Training',num_epochs = None)
other_experiment/ner_model_selection/bert_based/callback/progressbar.py:14
Method__init__
:param startAt: 重新开始训练的epoch点
other_experiment/ner_model_selection/bert_based/callback/trainingmonitor.py:10
Method__init__
(self, params, lr=0.1, momentum=0, dampening=0, weight_decay=0, nesterov=False)
other_experiment/ner_model_selection/bert_based/callback/optimizater/sgdw.py:27
Method__init__
(self, params, lr, momentum=0, dampening=0, weight_decay=0, nesterov=False, scale_clip=None)
other_experiment/ner_model_selection/bert_based/callback/optimizater/lars.py:21
Method__init__
(self, params, lr=1e-3, betas=(0.9, 0.999), eps=1e-8, weight_decay=0)
other_experiment/ner_model_selection/bert_based/callback/optimizater/ralamb.py:12
Method__init__
(self, params, lr=1e-3, betas=(0.9, 0.999), eps=1e-8, weight_decay=0)
other_experiment/ner_model_selection/bert_based/callback/optimizater/radam.py:17
Method__init__
:param optimizer:inner optimizer :param k (int): number of lookahead steps :param alpha(float): linear interpolation factor.
other_experiment/ner_model_selection/bert_based/callback/optimizater/lookahead.py:17
Method__init__
(self, params, lr=1e-3, betas=(0.9, 0.999), eps=1e-6, weight_decay=0, adam=False)
other_experiment/ner_model_selection/bert_based/callback/optimizater/lamb.py:26
Method__init__
(self, params, lr=1e-3, betas=(0.9, 0.999), eps=1e-6, weight_decay=0.0, correct_bias=True)
other_experiment/ner_model_selection/bert_based/callback/optimizater/adamw.py:18
Method__init__
(self, params, lr=None, beta1=0.9, beta2=0.999, eps1=1e-30, eps2=1e-3, cliping_threshold=1, n
other_experiment/ner_model_selection/bert_based/callback/optimizater/adafactor.py:18
Method__init__
(self, params, lr=1e-3, betas=(0.9, 0.999), final_lr=0.1, gamma=1e-3, eps=1e-8, weight_decay=
other_experiment/ner_model_selection/bert_based/callback/optimizater/adabound.py:27
Method__init__
(self, params, lr=1e-3, betas=(0.9, 0.999), eps=1e-8, weight_decay=0, scale_clip=None)
other_experiment/ner_model_selection/bert_based/callback/optimizater/ralars.py:22
Method__init__
(self, params, lr=2e-3, betas=(0.9, 0.999), eps=1e-8, weight_decay=0, schedule_decay=4e-3)
other_experiment/ner_model_selection/bert_based/callback/optimizater/nadam.py:31
Method__init__
(self, params, lr=0.01, betas=(0.95, 0.98), eps=1e-8, weight_decay=0, grad_averaging=False)
other_experiment/ner_model_selection/bert_based/callback/optimizater/novograd.py:22
Method__init__
(self, params, lr=1e-3, betas=(0.9, 0.999), eps=1e-8, weight_decay=0)
other_experiment/ner_model_selection/bert_based/callback/optimizater/planradam.py:6
Method__init__
Constructs a InputExample. Args: guid: Unique id for the example. text_a: list. The words of the sequence.
other_experiment/ner_model_selection/bert_based/processors/ner_seq.py:12
Method__init__
(self, input_ids, input_mask, input_len,segment_ids, label_ids)
other_experiment/ner_model_selection/bert_based/processors/ner_seq.py:36
Method__init__
(self, guid, text_a, subject)
other_experiment/ner_model_selection/bert_based/processors/ner_span.py:12
Method__init__
(self, input_ids, input_mask, input_len, segment_ids, start_ids,end_ids, subjects)
other_experiment/ner_model_selection/bert_based/processors/ner_span.py:29
Method__init__
(self, path_dict, srcs_list, domain_list, init_recall_dict, init_sp_dict, alpha=0.5, rou=0.3, default_veracity
other_experiment/fusion/DART.py:11
Method__init__
(self, patience=10)
other_experiment/FFD_ablation/HAN_exp/utils.py:191
Method__init__
(self, in_size, hidden_size=128)
other_experiment/FFD_ablation/HAN_exp/model.py:9
Method__init__
( self, num_meta_paths, in_size, out_size, layer_num_heads, dropout )
other_experiment/FFD_ablation/HAN_exp/model.py:27
Method__init__
(self, input_dim, output_dim, dropout=0., is_sparse_inputs=False,
other_experiment/FFD_ablation/GCN_exp/layer.py:10
Method__init__
(self, input_dim, output_dim)
other_experiment/FFD_ablation/GCN_exp/model.py:11
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