PersonalNameGenderedOut.md

openapi_client.model.personal_name_gendered_out.PersonalNameGenderedOut

Classified genderized names

Model Type Info

Input Type	Accessed Type	Description	Notes
dict, frozendict.frozendict,	frozendict.frozendict,	Classified genderized names

Dictionary Keys

Key	Input Type	Accessed Type	Description	Notes
script	str,	str,		[optional]
id	str,	str,		[optional]
explanation	str,	str,		[optional]
name	str,	str,	The input name	[optional]
likelyGender	str,	str,	Most likely gender	[optional] must be one of ["male", "female", "unknown", ]
genderScale	decimal.Decimal, int, float,	decimal.Decimal,	Compatibility to NamSor_v1 Gender Scale M[-1..U..+1]F value.	[optional] value must be a 64 bit float
score	decimal.Decimal, int, float,	decimal.Decimal,	Compatibility to NamSor_v1 Gender score value. Higher score is better, but score is not normalized. Use calibratedProbability if available.	[optional] value must be a 64 bit float
probabilityCalibrated	decimal.Decimal, int, float,	decimal.Decimal,	The calibrated probability for inferred gender to have been guessed correctly. -1 = still calibrating.	[optional] value must be a 64 bit float
any_string_name	dict, frozendict.frozendict, str, date, datetime, int, float, bool, decimal.Decimal, None, list, tuple, bytes, io.FileIO, io.BufferedReader	frozendict.frozendict, str, BoolClass, decimal.Decimal, NoneClass, tuple, bytes, FileIO	any string name can be used but the value must be the correct type	[optional]

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