class MultiFeatureSpec[T] extends AnyRef
Wrapper for FeatureSpec that allows for combination and separation of different specs.
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- MultiFeatureSpec.scala
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def
extract[M[_]](input: M[T])(implicit arg0: CollectionType[M]): MultiFeatureExtractor[M, T]
Extract features from a input collection.
Extract features from a input collection.
This is done in two steps, a
reduce
step over the collection to aggregate feature summary, and amap
step to transform values using the summary.- M
input collection type, e.g.
Array
,List
- input
input collection
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def
extractWithSettings[M[_]](input: M[T], settings: M[String])(implicit arg0: CollectionType[M]): MultiFeatureExtractor[M, T]
Extract features from a input collection using settings from a previous session.
Extract features from a input collection using settings from a previous session.
This bypasses the
reduce
step in extract and uses feature summary from settings exported in a previous session.- M
input collection type, e.g.
Array
,List
- input
input collection
- settings
JSON settings from a previous session
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def
extractWithSubsetSettings[M[_]](input: M[T], settings: M[String])(implicit arg0: CollectionType[M]): MultiFeatureExtractor[M, T]
Extract features from a input collection using partial settings from a previous session.
Extract features from a input collection using partial settings from a previous session.
This bypasses the
reduce
step in extract and uses feature summary from settings exported in a previous session.- M
input collection type, e.g.
Array
,List
- input
input collection
- settings
JSON settings from a previous session
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def
filter(predicate: (Feature[T, _, _, _]) ⇒ Boolean): MultiFeatureSpec[T]
Creates a new MultiFeatureSpec with only the features that respect the given predicate.
Creates a new MultiFeatureSpec with only the features that respect the given predicate.
- predicate
Function determining whether or not to include the feature
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