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Functions547 in github.com/MultiPath/CopyNet

⨍ Functions 547◇ Types & classes 70
↓ 1 callersMethoddefault_context
(self)
emolga/models/covc_encdec.py:1420
↓ 1 callersMethoddefault_context
(self)
emolga/models/encdec.py:1342
↓ 1 callersMethoddelete
Delete the node for key t if it is in the tree.
experiments/bst_dataset.py:171
↓ 1 callersFunctiondot_2d
(k, M, b=None, g=None)
emolga/utils/theano_utils.py:160
↓ 1 callersFunctionfilter_unk
(X, min_freq=5)
emolga/dataset/build_dataset.py:99
↓ 1 callersFunctiongenerate
()
experiments/bst_dataset.py:263
↓ 1 callersMethodget_init
(self, context)
emolga/models/ntm_encdec.py:209
↓ 1 callersMethodget_next_state
(self, prev_X, prev_info)
emolga/models/ntm_encdec.py:228
↓ 1 callersMethodget_output_mask
(self, X)
emolga/layers/embeddings.py:31
↓ 1 callersMethodget_sample
(self, context, k=1, maxlen=30, stochastic=True, argmax=False)
emolga/models/ntm_encdec.py:595
↓ 1 callersMethodget_sample
(self, context, inputs, source, smask, k=1, maxlen=30, stochastic=True, argmax=False, fixle
emolga/models/pointers.py:199
↓ 1 callersMethodget_weights
(self)
emolga/models/core.py:56
↓ 1 callersFunctioninit_logging
(logfile)
experiments/weibo_vest.py:25
↓ 1 callersFunctioninit_logging
(logfile)
experiments/syntest.py:23
↓ 1 callersFunctioninit_logging
(logfile)
experiments/lcsts_vest.py:26
↓ 1 callersFunctioninit_logging
(logfile)
experiments/bst_vest.py:28
↓ 1 callersFunctioninit_logging
(logfile)
experiments/syn_vest.py:27
↓ 1 callersFunctioninit_logging
(logfile)
experiments/lcsts_test.py:24
↓ 1 callersFunctioninit_logging
(logfile)
experiments/lcsts_rouge.py:73
↓ 1 callersFunctioninit_logging
(logfile)
experiments/lcsts_sample.py:25
↓ 1 callersFunctioninit_logging
(logfile)
experiments/lcsts_vest_new.py:26
↓ 1 callersFunctioninit_logging
(logfile)
experiments/copynet_input.py:22
↓ 1 callersFunctioninit_logging
(logfile)
experiments/copynet.py:20
↓ 1 callersFunctioninit_logging
(logfile)
emolga/test_nvtm.py:18
↓ 1 callersFunctioninit_logging
(logfile)
emolga/test_lm.py:18
↓ 1 callersMethodinput_embed
(self, X, C=None)
emolga/layers/recurrent.py:468
↓ 1 callersFunctionjudge_rule
(rule)
experiments/syn_vest.py:207
↓ 1 callersFunctionlearner
Training.
emolga/run.py:162
↓ 1 callersFunctionlearner
Training.
emolga/test_run.py:165
↓ 1 callersFunctionmain_sl
()
emolga/run.py:282
↓ 1 callersFunctionmain_sl
()
emolga/test_run.py:346
↓ 1 callersFunctionmark
(line)
experiments/movie_dataset.py:15
↓ 1 callersFunctionobtain_dataset
()
experiments/bst_dataset.py:290
↓ 1 callersFunctionoutput_stream
(dataset, batch_size, size=1)
experiments/weibo_vest.py:116
↓ 1 callersFunctionoutput_stream
(dataset, batch_size, size=1)
experiments/syntest.py:118
↓ 1 callersFunctionoutput_stream
(dataset, batch_size, size=1)
experiments/lcsts_vest.py:126
↓ 1 callersFunctionoutput_stream
(dataset, batch_size, size=1)
experiments/bst_vest.py:127
↓ 1 callersFunctionoutput_stream
(dataset, batch_size, size=1)
experiments/syn_vest.py:122
↓ 1 callersFunctionoutput_stream
(dataset, batch_size, size=1)
experiments/lcsts_test.py:107
↓ 1 callersFunctionoutput_stream
(dataset, batch_size, size=1)
experiments/lcsts_vest_new.py:126
↓ 1 callersFunctionoutput_stream
(dataset, batch_size, size=1)
experiments/copynet.py:91
↓ 1 callersMethodprepare_xy
(self, target)
emolga/models/ntm_encdec.py:475
↓ 1 callersMethodprepare_xy
(self, target)
emolga/models/covc_encdec.py:392
↓ 1 callersMethodprepare_xy
(self, target, cc_matrix)
emolga/models/covc_encdec.py:768
↓ 1 callersMethodprepare_xy
(self, target)
emolga/models/encdec.py:487
↓ 1 callersMethodprepare_xy
(self, target, context=None)
emolga/models/encdec.py:849
↓ 1 callersFunctionrepeat_name
(l)
experiments/dataset.py:33
↓ 1 callersFunctionreplace
(word)
experiments/dataset.py:52
↓ 1 callersMethodset_name
(self, name)
emolga/layers/core.py:126
↓ 1 callersMethodset_name
(self, name)
emolga/layers/core.py:167
↓ 1 callersMethodset_name
(self, name)
emolga/layers/core.py:194
↓ 1 callersMethodset_name
(self, name)
emolga/models/core.py:67
↓ 1 callersMethodset_weights
(self, weights)
emolga/models/core.py:44
↓ 1 callersFunctionsimulator
Dialogue Simulation
emolga/run.py:79
↓ 1 callersFunctionsimulator
Dialogue Simulation
emolga/test_run.py:82
↓ 1 callersFunctionsoftmax
(x)
emolga/utils/theano_utils.py:121
↓ 1 callersFunctionsoftmax
(x)
emolga/basic/activations.py:4
↓ 1 callersMethodsuccessor
Returns the node with the smallest key larger than this node's key, or None if this has the largest key in the tree.
experiments/bst_dataset.py:81
↓ 1 callersFunctionunk_filter
(data)
experiments/lcsts_rouge.py:141
↓ 1 callersFunctionunk_filter
(data)
experiments/lcsts_sample.py:79
↓ 1 callersFunctionunk_filter
(data)
experiments/copynet_input.py:65
↓ 1 callersMethodupdate_stats
Updates this node's size based on its children's sizes.
experiments/bst_dataset.py:20
Method__call__
(self, X, *args, **kwargs)
emolga/layers/core.py:26
Method__call__
(self, X)
emolga/layers/core.py:95
Method__call__
(self, X)
emolga/layers/core.py:130
Method__call__
(self, X1, X2)
emolga/layers/core.py:172
Method__call__
(self, X=None)
emolga/layers/core.py:197
Method__call__
(self, X=None)
emolga/layers/core.py:225
Method__call__
(self, X, train=True)
emolga/layers/core.py:241
Method__call__
(self, X)
emolga/layers/core.py:259
Method__call__
:param X: input sequence :param mask: input mask :param C: context constant :return:
emolga/layers/recurrent.py:141
Method__call__
(self, X, mask=None, C=None, init_h=None, return_sequence=False, one_step=False)
emolga/layers/recurrent.py:318
Method__call__
(self, X, mask=None, C=None, init_h=None, init_c=None, return_sequence=False, one_step=False)
emolga/layers/recurrent.py:487
Method__call__
(self, X, w_temp, m_temp)
emolga/layers/ntm_minibatch.py:67
Method__call__
(self, X, mask=None, M=None, init_ww=None, init_wr=None, init_c=None, return_sequence=False,
emolga/layers/ntm_minibatch.py:302
Method__call__
(self, X, w_temp, m_temp)
emolga/layers/ntm_minibatch.py:424
Method__call__
(self, X, mask=None, M=None, init_ww=None, init_wr=None, init_c=None, return_sequence=False,
emolga/layers/ntm_minibatch.py:668
Method__call__
(self, X, S, Smask=None, return_log=False, Cov=None)
emolga/layers/attention.py:42
Method__call__
(self, X, S, Smask=None, return_log=False)
emolga/layers/attention.py:115
Method__call__
(self, X, mask_zero=False, context=None)
emolga/layers/embeddings.py:34
Method__call__
(self, X)
emolga/layers/embeddings.py:69
Method__call__
(self, X)
emolga/layers/embeddings.py:75
Method__call__
(self, X, init_H=None, init_M=None, return_sequence=False, one_step=False, r
emolga/layers/gridlstm.py:386
Method__call__
(self, X, init_H=None, init_M=None, return_sequence=False, one_step=False, r
emolga/layers/gridlstm.py:620
Method__call__
(self, X, init_x=None, init_y=None, return_sequence=False, one_step=False)
emolga/layers/gridlstm.py:825
Method__call__
(self, X, init_x=None, init_y=None, return_sequence=False, one_step=False)
emolga/layers/gridlstm.py:1033
Method__call__
(self, key, memory=None, mem_mask=None, out_memory=None)
emolga/models/pointers.py:653
Method__getitem__
(self, key)
emolga/utils/io_utils.py:25
Method__init__
Create a new leaf with key t.
experiments/bst_dataset.py:12
Method__init__
(self, NodeType=BSTnode)
experiments/bst_dataset.py:140
Method__init__
@param target: total number of steps expected
emolga/utils/generic_utils.py:69
Method__init__
(self, datapath, dataset, start, end, normalizer=None)
emolga/utils/io_utils.py:11
Method__init__
(self, name='Identity')
emolga/layers/core.py:90
Method__init__
(self, input_dim, output_dim, init='glorot_uniform', activation='tanh', name='Dense', learn_b
emolga/layers/core.py:100
Method__init__
(self, input_dim1, input_dim2, output_dim, init='glorot_uniform', activation='tanh', name='Dense', learn_bias=
emolga/layers/core.py:142
Method__init__
(self, input_dim, output_dim, init=None, activation='tanh', name='Bias')
emolga/layers/core.py:178
Method__init__
(self, input_dim, input_wdth, init='glorot_uniform', activation='tanh', name='Bias', has_inpu
emolga/layers/core.py:206
Method__init__
(self, rng=None, p=1., name=None)
emolga/layers/core.py:236
Method__init__
(self, activation)
emolga/layers/core.py:255
Method__init__
(self, input_dim, output_dim=128, context_dim=None,
emolga/layers/recurrent.py:246
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