v0.27.2

0.27.2 (2021-07-28)

New:

• N/A

Changed

• N/A

Fixed:

• check for logits attribute when predicting using transformers
• change raised Exception to warning for longer sequence lengths for transformers

v0.27.1

0.27.1 (2021-07-20)

New:

• N/A

Changed

• Added method parameter to tabular.causal_inference_model.

Fixed:

• N/A

v0.27.0

0.27.0 (2021-07-20)

New:

• Added tabular.causal_inference_model function for causal inference support.

Changed

• N/A

Fixed:

• N/A

v0.26.5

0.26.5 (2021-07-15)

New:

• N/A

Changed

• added query parameter to SimpleQA.ask so that an alternative query can be used to retrieve contexts from corpus
• added chardet as dependency for stellargraph

Fixed:

• fixed issue with TopicModel.build when threshold=None

v0.26.4

0.26.4 (2021-06-23)

New:

• API documenation index

Changed

• Added warning when a TensorFlow version of selected transformers model is not available and the PyTorch version is being downloaded and converted instead using from_pt=True.

Fixed:

• Fixed utils.metrics_from_model to support alternative metrics
• Check for AUC ktrain.utils "inspect" function

v0.26.3

0.26.3 (2021-05-19)

New:

• N/A

Changed

• shallownlp.ner.NER.predict processes lists of sentences in batches resulting in faster predictions
• batch_size argument added to shallownlp.ner.NER.predict
• added verbose parameter to ktrain.text.textutils.extract_copy to optionally see why each skipped document was skipped

Fixed:

• Changed TextPredictor.save to save Hugging Face tokenizer files locally to ensure they can be easily reloaded when text.Transformer is supplied with local path.
• For transformers models, the predictor.preproc.model_name variable is automatically updated to be new Predictor folder to avoid having users manually update model_name. Applies
  when a local path is supplied to text.Transformer and resultant Predictor is moved to new machine.

v0.26.2

0.26.2 (2021-03-26)

New:

• N/A

Changed

• NERPredictor.predict now optionally accepts lists of sentences to make sequence-labeling predictions in batches (as all other Predictor instances already do).

Fixed:

• N/A

v0.26.1

0.26.1 (2021-03-11)

New:

• N/A

Changed

• expose errors from transformers in _load_pretrained
• changed TextPreprocessor.check_trained to be a warning instead of Exception

Fixed:

• N/A

v0.26.0

0.26.0 (2021-03-10)

New:

• Support for transformers 4.0 and above.

Changed

• added set_tokenizer to TransformerPreprocessor
• show error message when original weights cannot be saved (for reset_weights method)

Fixed:

• cast filename to string before concatenating with suffix in images_from_csv and images_from_df (addresses issue #330)
• resolved import error for sklearn>=0.24.0, but eli5 still requires sklearn<0.24.0.

v0.25.4

0.25.4 (2021-01-26)

New:

• N/A

Changed

• N/A

Fixed:

• fixed problem with LabelEncoder not properly being stored when texts_from_df is invoked
• refrain from invoking max on empty sequence (#307)
• corrected issue with return_proba=True in NER predictions (#316)