edu.stanford.nlp.tmt.model

ClosedTopicSet

trait ClosedTopicSet extends AnyRef

A parametric topic model with a fixed number of (named) topics.

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ClosedTopicSet with edu.stanford.nlp.tmt.model.TopicModel[_, _, _, _, _]
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Abstract Value Members

  1. val numTopics : Int

    The number of topics in the model.

    The number of topics in the model.

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  2. def pTopicTerm (topic: Int, term: Int): Double

    Returns the probability of the given term in the given topic.

    Returns the probability of the given term in the given topic.

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  11. def getClass (): java.lang.Class[_]

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  12. def getTopicTermDistribution (topic: String): Array[Double]

    Returns the distribution over terms for the given topic.

    Returns the distribution over terms for the given topic. The return value of this method is assumed to have already incorporated the corresponding getTermSmoothing to the appropriate extent.

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  13. def getTopicTermDistribution (topic: Int): Array[Double]

    Returns the distribution over terms for the given topic.

    Returns the distribution over terms for the given topic. The return value of this method is assumed to have already incorporated the corresponding getTermSmoothing to the appropriate extent.

  14. def hashCode (): Int

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  17. def notify (): Unit

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  18. def notifyAll (): Unit

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  19. def pTopicTerm (topic: String, term: String): Double

    Returns the probability of the given term in the given topic.

  20. def synchronized [T0] (arg0: ⇒ T0): T0

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  21. def toString (): String

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  22. var topicIndex : Option[Index[String]]

    The term index describing which terms are in the model.

  23. def topicName (topic: Int): String

    Gets the name for this topic.

  24. def wait (): Unit

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  25. def wait (arg0: Long, arg1: Int): Unit

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  26. def wait (arg0: Long): Unit

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