v3.3.0: AllenNLP 2.7.0, spacy2+3, vocab_config for TuneExperiment

Added:

• Create parent dirs with Trainer.fit(output_dir) b6de84a
• Add a vocab_config argument in the TuneExperiment class 16ef230

Removed:

Changed:

• bumped up versions for a lot of dependencies (including AllenNLP to 2.7.0) and broaden the versions of the spacy, ray tune, datasets and mlflow dependencies.

v3.2.1: empty predictions instead of Nones

Added:

Removed:

• vocab parameter in Pipeline.from_config as well as for the TuneExperiment

Changed:

• If inference encounters an unexpected error, return an empty prediction instead of a None

v3.2.0: Remove `PredictionError`

Added:

• Added sentence splitting feature to our TransformersTokenizer

Removed:

• Removed PredictionError, instead simply return None

Changed:

• fix new Dataset methods

v3.1.0: Bump up allennlp/dataset versions, added dropout

Added:

• Added dropout to our TextClassification and DocumentClassification head
• Added max/min_sentence_length and truncate_sentence parameters in the TokenizerConfiguration

Removed:

Changed:

• changed documentation url in docs/readme
• max_sequence_length -> truncate_input (TokenizerConfiguration)
• bump up allennlp version to 2.5
• bump up datasets version to 1.8

v3.0.0: Update to AllenNLP2 + spacy3

This release can break backward compatibility with some older models!

Added:

Removed:

• completely removed allennlp trainer stuff

Changed:

• fix logit nans in TokenClassification
• bump up spacy version to 3
• bump up allennlp version to 2
• Pipeline.evaluate method uses now pytorch lightning

v2.2.0: New Trainer, Deprecate AllenNLPTrainer, Remove UI/explore in favor of Rubrix

Added:

• New Lightning trainer (#543), deprecate AllenNLPTrainer

Removed:

• UI, explore (#557), will be handled by Rubrix.

Changed:

• improve to_mlflow (#534)
• divide training/validation metrics to allow for inter-epoch validation runs (#531)
• apply max_sequence_length also to the TransformersTokenizer (#554)
• activate warnings (#547)
• Improved multi label metrics for the classification heads

v2.1.0: TaskPrediction, new Pipeline.predict and Pipeline.to_mlflow

• Introduction of the TaskPrediction class that defines the output of a given task
• improved Pipeline.predict method with add_tokens and add_attributions parameters
• Ability to easily export your pipeline as an MLFlow model via Pipeline.to_mlflow
• Improvement of the biome serve cli command and removal of the Pipeline.serve method
• minor changes + bug fixes

v2.0.0: Dataset, Automatic Vocab, TuneExperiment, Transformers feature, Entities in TokenClassification

• Replaced DataSource with Dataset
• Vocab creation is now automatically done when executing Pipeline.train()
• Introduced TuneExperiment class
• Added the transformers feature
• Move Pipeline.explore() command to its own module
• Pipeline.train() modifies the pipeline inplace instead of creating a copy for the training
• TokenClassification accepts entities
• Added a RelationClassification head
• A LOT if minor and not so minor changes ...

1.0.0

Biome.text 1.0.0 release

v0.3.0

This release is compatible with the DZ version of our biome-classifier