(string) – The name of the feature being specified.
(boolean)–(Newinversionv2.11)Optional,fortimeseriesprojects only. Sets whether the feature is known in advance, i.e., values for future dates are known at prediction time. If not specified, the feature uses the value from the defaultToKnownInAd- vance flag.
(boolean) – (New in version v2.17) Optional, for time series projects only. Sets whether the feature is do-not-derive, i.e., is excluded from feature derivation. If not specified, the feature uses the value from the defaultToDoNotDerive flag.
(boolean) – (New in version v2.17) Optional, for time series projects only.
(boolean) – (New in version v2.17) Optional, for time series projects only. Sets whether the feature is do-not-derive, i.e., is excluded from feature derivation. If not specified, the feature uses the value from the defaultToDoNotDerive flag.
(string) – The name of the feature being specified.
(boolean)–(Newinversionv2.11)Optional,fortimeseriesprojects only.
(boolean)–(Newinversionv2.11)Optional,fortimeseriesprojects only. Sets whether the feature is known in advance, i.e., values for future dates are known at prediction time. If not specified, the feature uses the value from the defaultToKnownInAd- vance flag.
(Since version ) see corresponding Javadoc for more information.
FeatureSetting
(string) – The name of the feature being specified.
(boolean)–(Newinversionv2.11)Optional,fortimeseriesprojects only. Sets whether the feature is known in advance, i.e., values for future dates are known at prediction time. If not specified, the feature uses the value from the defaultToKnownInAd- vance flag.
(boolean) – (New in version v2.17) Optional, for time series projects only. Sets whether the feature is do-not-derive, i.e., is excluded from feature derivation. If not specified, the feature uses the value from the defaultToDoNotDerive flag.