pytext v0.2.2 Release Notes
Release Date: 2019-08-15 // over 4 years ago-
🚀 Note: this is the last release with _Deprecated classes. Those classes will be removed in the next release.
🆕 New Features:
- DeepCNN Representation for word tagging
- Combine KLDivergenceBCELoss with SoftHardBCELoss and F.cross_entropy() in CrossEntropyLoss (#689)
- ➕ add dense feature support for doc model (#710)
- ➕ add torchscript quantizaiton support in pytext
- 👍 pytext multi-label support (#731)
- open source transformer representations (#736)
- open source transformer based models - data, tensorizers and tokenizer (#708)
- Create AlternatingRandomizedBatchSampler (#737)
- open source MaskedLM and BERT models (#734)
- 👌 Support bytes input in word tagging model OSS (#745)
- open source extractive question answering models (#742)
- torchscriptify for ensemle task
- enabled lmlstm labels exporting (#767)
- Enable dense features in ByteTokensDocumentModel (#763)
- created bilstm dropout condition (#769)
- enabled lmlstm caffe2 exporting (#766)
- ⏱ PolynomialDecayScheduler (#791)
- ✂ removed bilstm dependence on seq_lengths (#776)
- ⚡️ fp16 optimizer (#782)
- ➕ Add Dense Feature Normalization to FloatListTensorizer and DocModel (#859)
- ➕ Add Sparsifier component to PyText and L0-projection based sparsifier (#860)
- implemented cnn pooling for doc classification (#872)
- implemented bottleneck separable convolutions (#855)
- ➕ Add eps to Adam (#858)
- implemented mobile exporter (#785)
- 👌 support starting training from saved checkpoint (#824)
- implemented separable convolutions (#830)
- implemented gelu activations (#829)
- implemented causal convolutions (#811)
- implemented dilation for convolutions (#810)
- created weight norm option (#809)
- Ordered Neuron LSTM (#854)
- ➕ Add PersonalizedByteDocModel (#816)
- CNN based language models (#827)
- 👌 improve csv support in TSVDataSource (#777)
- 🔄 Change default batch sampler DisjointMultitaskData to RoundRobinBatchSampler (#802)
- 👌 Support using serialized pretrained embedding file (#797)
📚 Documentation / Usability / Logging:
- 🖨 Fewer out-of-vocab print messages, with some stats (#697)
- Echo epoch number to console while training (#712)
- Separate timing for prediction and metric calculation. (#738)
- multi-label soft metrics (#754)
- 🔄 changed lm metric reporting (#765)
- 🛠 fix data source tutorial (#762)
- 🛠 fix doc sphinx deprecation warning (#775)
- ➕ Add the ability to pass parameter values to gen-default-config (#856)
- ✂ Remove "pytext/" from paths in demo json config (#878)
- 🆕 New documentation about hacking pytext and dealing with github. (#862)
- ⚡️ install_deps supports updates (#863)
- ⬇️ Reduce number of PEP print (#861)
- 👍 better error message for config with unknown component (#801)
- ➕ Add Recall at Precision Thresholds to Config (#792)
- implemented perplexity reductions for lm score reporting (#799)
- adapt prediction workflow to new design (#746)
🐛 Bug fixes:
- ✅ block sharded tsv eval/test fix (#698)
- 🛠 Fix BoundaryPooling tracing (#713)
- 🛠 fixes LMLSTM weight tying bug (#704)
- 🛠 Fix duplicate entries in vocab (#721)
- 🛠 Bugfix for trainer not reporting eval results (#740)
- Reintroduce metrics export in new task (#748)
- 🛠 fix open source tests (#750)
- 🛠 Fix missing init_tensorizers arg (#893)
- 🛠 Fix intent slot metric reporter not working with byte offset (#883)
- 🛠 Fix issue with some tensorizers still re-initializing vocab when loaded from saved state (#848)
- 🛠 fixed overflow error in lm reporting (#831)
- 🛠 fix BlockShardedTSVDataSource (#832)
v0.2.1
(skipped because of packaging issues)