object FlatExtractor extends Serializable
Sometimes it is useful to store the features in an intermediate state in normally a flat version like Examples or maybe JSON. This makes it easier to interface with other systems.
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def
apply[M[_], T](settings: M[String])(implicit arg0: CollectionType[M], arg1: ClassTag[T], arg2: FlatReader[T]): FlatExtractor[M, T]
This function allows the reading of data from these flat versions by name with a given settings file to extract the final output.
This function allows the reading of data from these flat versions by name with a given settings file to extract the final output.
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Collection Type
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The intermediate format where the data is stored
- settings
Setting information
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Class for converting to Features
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def
flatSpec[T, X](spec: FeatureSpec[X])(implicit arg0: ClassTag[T], arg1: FlatReader[T], arg2: ClassTag[X]): FeatureSpec[T]
Another useful operation is to use the Spec and Information we have to map from the Scala Object to read the data directly from the intermediate format for parsing
Another useful operation is to use the Spec and Information we have to map from the Scala Object to read the data directly from the intermediate format for parsing
- T
The intermediate format where the data is stored
- X
The Input Scala Object
- spec
Current FeatureSpec
- returns
FeatureSpec for the intermediate format
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multiFlatSpec[T, X](spec: MultiFeatureSpec[X])(implicit arg0: ClassTag[T], arg1: FlatReader[T], arg2: ClassTag[X]): MultiFeatureSpec[T]
Another useful operation is to use the Spec and Information we have to map from the Scala Object to read the data directly from the intermediate format for parsing
Another useful operation is to use the Spec and Information we have to map from the Scala Object to read the data directly from the intermediate format for parsing
- T
The intermediate format where the data is stored
- X
The Input Scala Object
- spec
Current FeatureSpec
- returns
FeatureSpec for the intermediate format
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