Package opennlp.tools.ml.model

## Class OnePassDataIndexer

- java.lang.Object
- - opennlp.tools.ml.model.AbstractDataIndexer
  - - opennlp.tools.ml.model.OnePassDataIndexer

- All Implemented Interfaces:
    `DataIndexer`
  Direct Known Subclasses:
    `OnePassRealValueDataIndexer`

      public class OnePassDataIndexer
      extends AbstractDataIndexer

  A `DataIndexer` for maxent model data which handles cutoffs for uncommon contextual predicates and provides a unique integer index for each of the predicates.
  See Also:
    `DataIndexer`, `AbstractDataIndexer`

- - ### Field Summary

    - ### Fields inherited from class opennlp.tools.ml.model.AbstractDataIndexer

      `CUTOFF_DEFAULT, CUTOFF_PARAM, SORT_DEFAULT, SORT_PARAM`

  - ### Constructor Summary

    Constructors
    Constructor | Description
    --- | ---
    `OnePassDataIndexer()` |

  - ### Method Summary

    All Methods Instance Methods Concrete Methods
    Modifier and Type | Method | Description
    --- | --- | ---
    `void` | `index​(ObjectStream<Event> eventStream)` | Performs the data indexing.

    - ### Methods inherited from class opennlp.tools.ml.model.AbstractDataIndexer

      `getContexts, getNumEvents, getNumTimesEventsSeen, getOutcomeLabels, getOutcomeList, getPredCounts, getPredLabels, getValues, init`

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

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

- - ### Constructor Detail

    - #### OnePassDataIndexer

          public OnePassDataIndexer()

  - ### Method Detail

    - #### index

          public void index​(ObjectStream<Event> eventStream)
                     throws IOException

      Performs the data indexing.

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

      Parameters:
        `eventStream` - A `ObjectStream` of events used as input.
      Throws:
        `IOException` - Thrown if IO errors occurred during indexing.