Trait

org.clulab.polarity.ml

PolarityClassifier

Related Doc: package ml

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trait PolarityClassifier extends LazyLogging

Base trait for an ML-based polarity classifier

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Abstract Value Members

  1. abstract def fit(trainingPath: String, trainRatio: Float, saveFlag: Boolean): Unit

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    Trains the classifier.

    Trains the classifier. This method is meant to have side effects by fitting the parameters

  2. abstract def isFitted: Boolean

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    Returns whether fit has been called before.

    Returns whether fit has been called before. Mostly for control

    returns

    True if the parameters of the model have been fit previously

  3. abstract def predict(event: BioEventMention): Polarity

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    Convenience overload to predict a single instance

    Convenience overload to predict a single instance

    event

    to get its polarity predicted

    returns

    polarity of the argument

  4. abstract def predict(events: Seq[BioEventMention]): Seq[Polarity]

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    Gets the predicted polarity for the provided argument

    Gets the predicted polarity for the provided argument

    events

    Ordered sequence of events to get their polarity from

    returns

    Predictions of Polarity subclasses

  5. abstract def save(modelPath: String, w2iPath: String, c2iPath: String): Unit

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    Saves the model parameter's to a file

    Saves the model parameter's to a file

    modelPath

    file path to save the model to.

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  1. final def !=(arg0: Any): Boolean

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  12. lazy val logger: Logger

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