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ml.dmlc.xgboost4j.java

IEvaluation

trait IEvaluation extends Serializable

interface for customized evaluation

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  1. abstract def eval(predicts: Array[Array[Float]], dmat: DMatrix): Float

    evaluate with predicts and data

    evaluate with predicts and data

    predicts

    predictions as array

    dmat

    data matrix to evaluate

    returns

    result of the metric

  2. abstract def getMetric(): String

    get evaluate metric

    get evaluate metric

    returns

    evalMetric

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