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Functions233 in github.com/LARS-research/TabGNN

⨍ Functions 233◇ Types & classes 52
Method__init__
(self, data_source, num_samples=None)
data/samplers.py:21
Method__init__
(self, dataset_name=None, datapoint_ids=None, encoders=None)
data/TabularDataset.py:15
Method__init__
(self, sorted_items=None)
data/data_encoders.py:77
Method__init__
(self, n_bins_=None, bin_edges_=None)
data/data_encoders.py:109
Method__init__
(self, center_=None, scale_=None)
data/data_encoders.py:197
Method__init__
(self, lambdas_=None, scale_=None, mean_=None, var_=None, n_samples_seen_=None)
data/data_encoders.py:221
Method__init__
(self, n_quantiles_=None, quantiles_=None, references_=None)
data/data_encoders.py:247
Method__init__
(self, disc_params=None)
data/data_encoders.py:385
Method__init__
(self, center_=None, scale_=None)
data/data_encoders.py:475
Method__init__
:param minimize_emb_dim: Whether to set embedding_dim = max_emb_dim or to make embedding_dim smaller is num_embeddings is small
data/data_encoders.py:508
Method__init__
(self, db_name=None, datapoint_ids=None, encoders=None)
data/DatabaseDataset.py:20
Method__init__
(self, in_features, out_features, n_types, bias=True)
models/utils.py:178
Method__init__
(self, model, weight=None, **kwargs)
models/losses.py:11
Method__init__
(self, model, p_columns_to_shuffle, **kwargs)
models/losses.py:57
Method__init__
(self, model, p_mask, **kwargs)
models/losses.py:115
Method__init__
(self, model, p_mask, **kwargs)
models/losses.py:181
Method__init__
(self, hidden_dim)
models/readouts.py:10
Method__init__
(self, hidden_dim, k)
models/readouts.py:19
Method__init__
(self, hidden_dim, n_layers, act_name)
models/readouts.py:30
Method__init__
(self, hidden_dim, p_dropout, num_heads, n_layers, k)
models/readouts.py:56
Method__init__
(self, writer, dataset_name, feature_encoders, hidden_dim, init_model_class_name, init_model_kwargs,
models/GNN/GNNModelBase.py:20
Method__init__
(self, n_heads, residual, **kwargs)
models/GNN/GAT.py:51
Method__init__
(self, in_feats, out_feats, num_heads, fea
models/GNN/GAT.py:79
Method__init__
(self, n_heads, residual, **kwargs)
models/GNN/GAT.py:152
Method__init__
(self, in_feats, out_feats, num_heads, fea
models/GNN/GAT.py:180
Method__init__
(self, in_size, hidden_size=128)
models/GNN/HAN.py:13
Method__init__
(self, meta_paths, in_size, out_size, layer_num_heads, dropout)
models/GNN/HAN.py:53
Method__init__
(self, **kwargs)
models/GNN/PoolMLP.py:12
Method__init__
(self, **kwargs)
models/GNN/GCN.py:56
Method__init__
(self, **kwargs)
models/GNN/GCN.py:73
Method__init__
(self, **kwargs)
models/GNN/GCN.py:108
Method__init__
(self, in_feat, out_feat, n_node_types, n_rels, p_dropout, activation)
models/GNN/GCN.py:138
Method__init__
(self, **kwargs)
models/tabular/TabMLP.py:65
Method__init__
(self, writer, dataset_name, n_cont_features, cat_feat_origin_cards, max_emb_dim, activation_
models/tabular/TabModelBase.py:13
Method__iter__
(self)
data/samplers.py:38
Method__len__
(self)
data/samplers.py:41
Method__len__
(self)
data/TabularDataset.py:102
Method__len__
(self)
data/DatabaseDataset.py:108
Methodadd_scalar
(self, tag_name, object, iter_number, *args, **kwargs)
utils.py:329
Methodcat_dim
(self)
data/data_encoders.py:29
Functioncompute_and_save_dfs_features
(es, target_entity, db_name, max_depth, n_jobs, chunk_size)
data/utils.py:386
Functioncyclic_dt_features
Calculate the cos and sin of date/time cycles.
data/data_encoders.py:589
Methoddebug_info
(self, *args, **kwargs)
utils.py:337
Functiondump_datapoint
(dp_id)
data/jd_single/build_dataset_from_kaggle_files.py:92
Methodenc_cat
(self, data: Iterable)
data/data_encoders.py:69
Methodenc_cat
Values that the encoder has never seen before are returned as 0
data/data_encoders.py:96
Methodenc_cat
Missing values are returned as category 0
data/data_encoders.py:125
Methodenc_cat
(self, data)
data/data_encoders.py:160
Methodenc_cat
(self, data)
data/data_encoders.py:294
Methodenc_cat
(self, datetimes)
data/data_encoders.py:339
Methodenc_cat
(self, data)
data/data_encoders.py:361
Methodenc_cat
(self, data)
data/data_encoders.py:403
Methodenc_cat
(self, data)
data/data_encoders.py:435
Methodenc_cat
(self, data)
data/data_encoders.py:481
Methodenc_cont
(self, data: Iterable)
data/data_encoders.py:72
Methodenc_cont
(self, data)
data/data_encoders.py:104
Methodenc_cont
(self, data)
data/data_encoders.py:143
Methodenc_cont
Returns len(scalars) x 2 tensor, where the second column is a one-hot flag for missing data values
data/data_encoders.py:163
Methodenc_cont
(self, datetimes)
data/data_encoders.py:297
Methodenc_cont
(self, data)
data/data_encoders.py:354
Methodenc_cont
(self, latlongs)
data/data_encoders.py:364
Methodenc_cont
(self, data)
data/data_encoders.py:414
Methodenc_cont
(self, data)
data/data_encoders.py:438
Methodenc_cont
(self, data)
data/data_encoders.py:484
Methodextra_repr
(self)
models/utils.py:222
Methodfit
(self, data: pd.Series)
data/data_encoders.py:82
Methodfit
(self, data)
data/data_encoders.py:117
Methodfit
(self, data: pd.Series)
data/data_encoders.py:203
Methodfit
(self, data)
data/data_encoders.py:232
Methodfit
(self, data)
data/data_encoders.py:254
Methodfit
(self, data)
data/data_encoders.py:394
Methodfit
(self, data)
data/data_encoders.py:450
Methodfit_feat_encoders
(self)
data/TabularDataset.py:62
Methodforward
(self, input)
data/data_encoders.py:535
Methodforward
(self, input, i_type)
models/utils.py:199
Methodforward
(self, input, target)
models/losses.py:17
Methodforward
(self, input, target)
models/losses.py:22
Methodforward
(self, input, target)
models/losses.py:39
Methodforward
(self, input, target)
models/losses.py:109
Methodforward
(self, input, target)
models/losses.py:170
Methodforward
This logic stolen with gratitude from https://github.com/huggingface/transformers
models/losses.py:236
Methodforward
(self, graph, feat)
models/readouts.py:14
Methodforward
(self, graph, feat)
models/readouts.py:24
Methodforward
(self, graph, feat)
models/readouts.py:40
Methodforward
(self, graph, feat)
models/readouts.py:50
Methodforward
(self, graph, feat)
models/readouts.py:68
Methodforward
(self, input)
models/activations.py:11
Methodforward
Returns logits for output classes
models/GNN/GNNModelBase.py:126
Methodforward
(self, graph, feat, etypes)
models/GNN/GAT.py:122
Methodforward
(self, graph, feat, ntypes, etypes)
models/GNN/GAT.py:207
Methodforward
(self, z)
models/GNN/HAN.py:22
Methodforward
(self, g, h)
models/GNN/HAN.py:68
Methodforward
(self, graph, feats, ntypes, etypes)
models/GNN/GCN.py:166
Methodforward
Returns logits for output classes
models/tabular/TabMLP.py:33
Methodforward
Returns logits for output classes
models/tabular/TabModelBase.py:64
Methodget_base_enc_params
(self)
data/data_encoders.py:152
Methodget_base_enc_params
(self)
data/data_encoders.py:192
Methodget_base_enc_params
(self)
data/data_encoders.py:242
Methodget_base_enc_params
(self)
data/data_encoders.py:264
Methodget_base_enc_params
(self)
data/data_encoders.py:423
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