Package opennlp.tools.ml.model

Schnittstelle DataIndexer

Alle bekannten Implementierungsklassen:
AbstractDataIndexer, OnePassDataIndexer, OnePassRealValueDataIndexer, TwoPassDataIndexer
public interface DataIndexer
Represents an indexer which compresses events in memory and performs feature selection.
Siehe auch:

  • Methodendetails

    • getContexts

      int[][] getContexts()
      Gibt zurück:
      Retrieves a 2-dimensional array whose first dimension is the event index and array this refers to contains the contexts for that event.

    • getNumTimesEventsSeen

      int[] getNumTimesEventsSeen()
      Gibt zurück:
      Retrieves an array indexed by the event index indicating the number of times a particular event was seen.

    • getOutcomeList

      int[] getOutcomeList()
      Gibt zurück:
      Retrieves an array indicating the outcome index for each event.

    • getPredLabels

      String[] getPredLabels()
      Gibt zurück:
      Retrieves an array of predicate/context names indexed by context index. These indices are the value of the array returned by getContexts().

    • getPredCounts

      int[] getPredCounts()
      Gibt zurück:
      Retrieves an array of the count of each predicate in the events.

    • getOutcomeLabels

      String[] getOutcomeLabels()
      Gibt zurück:
      Retrieves an array of outcome names indexed by outcome index.

    • getValues

      float[][] getValues()
      Gibt zurück:
      Retrieves the values associated with each event context or null if integer values are to be used.

    • getNumEvents

      int getNumEvents()
      Gibt zurück:
      Retrieves the number of total events indexed.

    • init

      void init(TrainingParameters trainParams, Map<String,String> reportMap)
      Sets parameters used during the data indexing.
      Parameter:
      trainParams - The TrainingParameters to be used.
      reportMap - The Map used for reporting.

    • index

      void index(ObjectStream<Event> eventStream) throws IOException
      Performs the data indexing.

      Note: Make sure the init(TrainingParameters, Map) method is called first.

      Parameter:
      eventStream - A ObjectStream<Event> of events used as input.
      Löst aus:
      IOException - Thrown if IO errors occurred during indexing.