Release 0.3.1
This is a stability-update over release 0.3.0 with small optimizations, refactorings and bug fixes. For list of new features, refer to 0.3.0.
Optimizations
Retain Token embeddings in memory by default (#146 )
Allow for faster training of text classifier on large datasets by keeping token embeddings im memory.
Always clear embeddings after prediction (#149 )
After prediction, remove embeddings from memory to avoid filling up memory.
Refactorings
Alignd TextClassificationTrainer and SquenceTaggerTrainer (#148 )
Align signatures and features of the two training classes to make it easier to understand training options.
Updated DocumentLSTMEmbeddings (#150 )
Remove unused flag and code from DocumentLSTMEmbeddings
Removed unneeded AWS and Jinja2 dependencies (#158 )
Some dependencies are no longer required.