package featureExtraction
Ordering
- Alphabetic
Visibility
- Public
- All
Type Members
- class SmartFeatureExtractor extends Transformer
-
class
SmartVectorAssembler extends Transformer
This Transformer creates a needed Dataframe for common ML approaches in Spark MLlib.
This Transformer creates a needed Dataframe for common ML approaches in Spark MLlib. The resulting Dataframe consists of a column features which is a numeric vector for each entity The other columns are a identifier column like the node id And optional column for label
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class
SparqlFrame extends Transformer
This SparqlFrame Transformer creates a dataframe based on a SPARQL query the resulting columns correspond to projection variables
Value Members
- object FeatureExtractingSparqlGenerator
- object FeatureTypeIdentifier