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The current feature representation (list of list of dicts) doesn't adhere to the representations assumed by most sklearn classifiers. Is there any future plans to update the CRF classifier API to be compatible with sklearn ensemble APIs (bagging, boosting .. etc) ?.
The text was updated successfully, but these errors were encountered:
Ragabov
changed the title
Compatibility issues with sklearn boosting/bagging API
Compatibility issues with sklearn ensemble API
Mar 20, 2019
The current feature representation (list of list of dicts) doesn't adhere to the representations assumed by most sklearn classifiers. Is there any future plans to update the CRF classifier API to be compatible with sklearn ensemble APIs (bagging, boosting .. etc) ?.
The text was updated successfully, but these errors were encountered: