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FirstLastNameDiasporaedOut.md

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openapi_client.model.first_last_name_diasporaed_out.FirstLastNameDiasporaedOut

Represents the output of inferring the LIKELY ethnicity from a personal name, given an country of residence.

Model Type Info

Input Type Accessed Type Description Notes
dict, frozendict.frozendict, frozendict.frozendict, Represents the output of inferring the LIKELY ethnicity from a personal name, given an country of residence.

Dictionary Keys

Key Input Type Accessed Type Description Notes
script str, str, [optional]
id str, str, [optional]
explanation str, str, [optional]
firstName str, str, The first name (also known as given name) [optional]
lastName str, str, The last name (also known as family name, or surname) [optional]
score decimal.Decimal, int, float, decimal.Decimal, Compatibility to NamSor_v1 Diaspora score value. Higher score is better, but score is not normalized. Use calibratedProbability if available. [optional] value must be a 64 bit float
ethnicityAlt str, str, The second best alternative ethnicity [optional]
ethnicity str, str, The most likely ethnicity [optional]
lifted bool, BoolClass, Indicates if the output ethnicity is based on machine learning only, or further lifted as a known fact by a country-specific rule. Let us know if you believe ethnicity is incorrect on a specific case where lifted is true. [optional]
countryIso2 str, str, From input data, the countryIso2 of geographic context (US,CA etc.) [optional]
ethnicitiesTop list, tuple, tuple, List most likely ethnicities (top 10) [optional]
probabilityCalibrated decimal.Decimal, int, float, decimal.Decimal, The calibrated probability for ethnicity to have been guessed correctly. -1 = still calibrating. [optional] value must be a 64 bit float
probabilityAltCalibrated decimal.Decimal, int, float, decimal.Decimal, The calibrated probability for ethnicity OR ethnicityAlt to have been guessed correctly. -1 = still calibrating. [optional] value must be a 64 bit float
religionStats list, tuple, tuple, Geographic religious statistics, assuming ethnicity is correctly predicted. [optional]
religionStatsAlt list, tuple, tuple, Geographic religious statistics, assuming ethnicity OR best alternative is correctly predicted. [optional]
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]

ethnicitiesTop

List most likely ethnicities (top 10)

Model Type Info

Input Type Accessed Type Description Notes
list, tuple, tuple, List most likely ethnicities (top 10)

Tuple Items

Class Name Input Type Accessed Type Description Notes
items str, str, List most likely ethnicities (top 10)

religionStats

Geographic religious statistics, assuming ethnicity is correctly predicted.

Model Type Info

Input Type Accessed Type Description Notes
list, tuple, tuple, Geographic religious statistics, assuming ethnicity is correctly predicted.

Tuple Items

Class Name Input Type Accessed Type Description Notes
ReligionStatOut ReligionStatOut ReligionStatOut

religionStatsAlt

Geographic religious statistics, assuming ethnicity OR best alternative is correctly predicted.

Model Type Info

Input Type Accessed Type Description Notes
list, tuple, tuple, Geographic religious statistics, assuming ethnicity OR best alternative is correctly predicted.

Tuple Items

Class Name Input Type Accessed Type Description Notes
ReligionStatOut ReligionStatOut ReligionStatOut

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