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v0.4.2
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@schmmd schmmd released this 01 May 18:03
· 1665 commits to master since this release
v0.4.2
435280e

The most immediate change is that now PyTorch is installed via pip, and you don't have to do it separately. We also have new code to support a state-of-the-art NER model.

Here's the full list of commits:

d4b286c Mattp/ner (#1162)
d05673a Add a default cuda_device to model. (#1151)
281d032 Added two feature extractors that were in PNP and not in our version (#1155)
f8d64ef add stacked bilm (#1154)
f2257a6 Use separate action embeddings for prediction vs. input feeding (#1153)
cc510fa Allow ablation where linking features are removed (#1145)
121d3e8 unidecode in setup (#1148)
55b0411 Adding ReLUs after linear projections (#1150)
645379e Allow default predictors when calling programatically (#1112)
6d15d17 Allow to restart with optimizers on CUDA (#1144)
c684216 Streamlining the docker build a little bit (#1140)
bfff55f bug fix for empty decoder outputs (#1141)
b9630e6 Fix state scores in WikiTablesDecoderStep (#1129)
a869e0b Move imports to inside of CACHE_MODELS=true condition (#1133)
53ae735 clean EVALB via make, add to Dockerfile (#1132)
812dfcf Added a script to generate data from an ERM trained model (#1115)
2b81da7 Remove the KeyError catch block in the server (#1130)
960f913 Adding WikiTables and NLVR predictors (#1118)
7627a09 Use xavier_uniform for initializing embedding weights (#1120)
0df8978 Adding the wikitables parser (#1114)
f7b736c increase metrics logging precision (#1113)
7dfc342 Adding NLVR model (#1108)
bc8ac1a Adding WikiTables dataset reader (#1106)
cbe5897 Adding NLVR dataset reader (#1105)
f7924bc Adding KnowledgeGraphField and ProductionRuleField (#1104)
245a9af add name argument to run_with_beaker.py (#1103)
2e6f2dd Adding the type system / logical form parsing code from the wikitables branch (#1087)
eb81ac9 Update elmo.md (#1092)
1655f22 Adding the decoding framework from the wikitables branch (#1086)
3ea82b1 Moving over modifications to common / util modules (#1085)
f7b736c increase metrics logging precision (#1113)
7dfc342 Adding NLVR model (#1108)
bc8ac1a Adding WikiTables dataset reader (#1106)
cbe5897 Adding NLVR dataset reader (#1105)
f7924bc Adding KnowledgeGraphField and ProductionRuleField (#1104)
245a9af add name argument to run_with_beaker.py (#1103)
2e6f2dd Adding the type system / logical form parsing code from the wikitables branch (#1087)
eb81ac9 Update elmo.md (#1092)
1655f22 Adding the decoding framework from the wikitables branch (#1086)
3ea82b1 Moving over modifications to common / util modules (#1085)
78dc1df Data cleanup and additions from the wikitables branch (#1084)
6829edb Move the top nav bar to the left pane. (#1082)
14bb4e3 Revert "Top menu -> Left menu (#1074)" (#1081)
a92bf48 Top menu -> Left menu (#1074)
b72c838 Adding an optional projection layer to ElmoTokenEmbedder (#1076)
4c02d92 Reading glove embeddings: strip() --> rstrip() (#1056)
0a918aa read vocab params in model test when available (#1071)
8ddc8cb initial dry run command (#1063)
da1e6f4 Update setup.py
e8e2499 install pytorch via pip (#1062)
bcbc12e don't use mutable sys.stdout for both logs (#1060)
ebf25ea One line update in file_utiles.py (#1059)
9299131 Add a multilabel field (#1054)
db44a25 Add a get_final_encoder_states function that handles bidirectional encoders (#1048)
77da425 don't allow U tags in BIO to spans, use BIOUL in SpanF1Measure (#1045)
e444216 Add an ensemble model for BiDAF (#1000)
a5a827e Add Biattentive Classification Network (#1038)
78aa071 proper configuration of all dropout in self attention (#1042)
d0bb3d2 CoNLL dataset reader that allows BIOLU tags (#1041)
d57717e srl model tweaks (#1040)
1700db4 Minor enhancements to seq2seq data reader (#1037)
2b55bfb re-jig readme (#1034)
395646a Add Stanford Sentiment Treebank dataset reader (#1032)

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