DeanonymizerMapping#

class langchain_experimental.data_anonymizer.deanonymizer_mapping.DeanonymizerMapping(mapping: ~typing.Dict[str, ~typing.Dict[str, str]] = <factory>)[source]#

Deanonymizer mapping.

Attributes

data

Return the deanonymizer mapping.

Methods

`__init__`([mapping])
`update`(new_mapping)	Update the deanonymizer mapping with new values.

Parameters:: mapping (Dict[str, Dict[str, str]])

__init__(mapping: ~typing.Dict[str, ~typing.Dict[str, str]] = <factory>) → None#

Parameters:: mapping (Dict[str, Dict[str, str]])
Return type:: None

update(new_mapping: Dict[str, Dict[str, str]]) → None[source]#

Update the deanonymizer mapping with new values.

Duplicated values will not be added If there are multiple entities of the same type, the mapping will include a count to differentiate them. For example, if there are two names in the input text, the mapping will include NAME_1 and NAME_2.

Parameters:: new_mapping (Dict[str, Dict[str, str]])
Return type:: None