org.apache.lucene.search

## Class IndriScorer

- java.lang.Object
- - org.apache.lucene.search.Scorable
  - - org.apache.lucene.search.Scorer
    - - org.apache.lucene.search.IndriScorer

- Direct Known Subclasses:
    IndriDisjunctionScorer

      public abstract class IndriScorer
      extends Scorer

  The Indri parent scorer that stores the boost so that IndriScorers can use the boost outside of the term.

- - ### Nested Class Summary

    - ### Nested classes/interfaces inherited from class org.apache.lucene.search.Scorable

      `Scorable.ChildScorable`

  - ### Field Summary

    - ### Fields inherited from class org.apache.lucene.search.Scorer

      `weight`

  - ### Constructor Summary

    Constructors
    Modifier | Constructor and Description
    --- | ---
    `protected` | `IndriScorer(Weight weight, float boost)`

  - ### Method Summary

    All Methods Instance Methods Abstract Methods Concrete Methods
    Modifier and Type | Method and Description
    --- | ---
    `abstract int` | `docID()` Returns the doc ID that is currently being scored.
    `float` | `getBoost()`
    `abstract float` | `getMaxScore(int upTo)` Return the maximum score that documents between the last `target` that this iterator was `shallow-advanced` to included and `upTo` included.
    `abstract DocIdSetIterator` | `iterator()` Return a `DocIdSetIterator` over matching documents.
    `abstract float` | `score()` Returns the score of the current document matching the query.
    `abstract float` | `smoothingScore(int docId)` Returns the smoothing score of the current document matching the query.

    - ### Methods inherited from class org.apache.lucene.search.Scorer

      `advanceShallow, getWeight, twoPhaseIterator`

    - ### Methods inherited from class org.apache.lucene.search.Scorable

      `getChildren, setMinCompetitiveScore`

    - ### Methods inherited from class java.lang.Object

      `clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait`

- - ### Constructor Detail

    - #### IndriScorer

          protected IndriScorer(Weight weight,
                                float boost)

  - ### Method Detail

    - #### iterator

          public abstract DocIdSetIterator iterator()

      Description copied from class: `Scorer`
      Return a `DocIdSetIterator` over matching documents. The returned iterator will either be positioned on `-1` if no documents have been scored yet, `DocIdSetIterator.NO_MORE_DOCS` if all documents have been scored already, or the last document id that has been scored otherwise. The returned iterator is a view: calling this method several times will return iterators that have the same state.
      Specified by:
        `iterator` in class `Scorer`

    - #### getMaxScore

          public abstract float getMaxScore(int upTo)
                                     throws IOException

      Description copied from class: `Scorer`
      Return the maximum score that documents between the last `target` that this iterator was `shallow-advanced` to included and `upTo` included.
      Specified by:
        `getMaxScore` in class `Scorer`
      Throws:
        `IOException`

    - #### score

          public abstract float score()
                               throws IOException

      Description copied from class: `Scorable`
      Returns the score of the current document matching the query.
      Specified by:
        `score` in class `Scorable`
      Throws:
        `IOException`

    - #### smoothingScore

          public abstract float smoothingScore(int docId)
                                        throws IOException

      Description copied from class: `Scorable`
      Returns the smoothing score of the current document matching the query. This score is used when the query/term does not appear in the document, and behaves like an idf. The smoothing score is particularly important when the Scorer returns a product of probabilities so that the document score does not go to zero when one probability is zero. This can return 0 or a smoothing score.

      Smoothing scores are described in many papers, including: Metzler, D. and Croft, W. B. , "Combining the Language Model and Inference Network Approaches to Retrieval," Information Processing and Management Special Issue on Bayesian Networks and Information Retrieval, 40(5), pp.735-750.

      Overrides:
        `smoothingScore` in class `Scorable`
      Throws:
        `IOException`

    - #### docID

          public abstract int docID()

      Description copied from class: `Scorable`
      Returns the doc ID that is currently being scored.
      Specified by:
        `docID` in class `Scorable`

    - #### getBoost

          public float getBoost()

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