程序包 org.apache.flink.ml.evaluation.binaryclassification

接口 BinaryClassificationEvaluatorParams<T>

  • 类型参数:
    T - The class type of this instance.
    所有超级接口:
    org.apache.flink.ml.common.param.HasLabelCol<T>, org.apache.flink.ml.common.param.HasRawPredictionCol<T>, org.apache.flink.ml.common.param.HasWeightCol<T>, org.apache.flink.ml.param.WithParams<T>
    所有已知实现类:
    BinaryClassificationEvaluator
    public interface BinaryClassificationEvaluatorParams<T>
extends org.apache.flink.ml.common.param.HasLabelCol<T>, org.apache.flink.ml.common.param.HasRawPredictionCol<T>, org.apache.flink.ml.common.param.HasWeightCol<T>
    Params of BinaryClassificationEvaluator.

    • 字段概要

      字段 
      修饰符和类型 字段 说明
      static String AREA_UNDER_LORENZ  
      static String AREA_UNDER_PR  
      static String AREA_UNDER_ROC  
      static String KS  
      static org.apache.flink.ml.param.Param<String[]> METRICS_NAMES
      Param for supported metric names in binary classification evaluation (supports 'areaUnderROC', 'areaUnderPR', 'ks' and 'areaUnderLorenz').

      • 从接口继承的字段 org.apache.flink.ml.common.param.HasLabelCol

        LABEL_COL

      • 从接口继承的字段 org.apache.flink.ml.common.param.HasRawPredictionCol

        RAW_PREDICTION_COL

      • 从接口继承的字段 org.apache.flink.ml.common.param.HasWeightCol

        WEIGHT_COL

    • 方法概要

      所有方法 实例方法 默认方法 
      修饰符和类型 方法 说明
      default String[] getMetricsNames()  
      default T setMetricsNames​(String... value)  

      • 从接口继承的方法 org.apache.flink.ml.common.param.HasLabelCol

        getLabelCol, setLabelCol

      • 从接口继承的方法 org.apache.flink.ml.common.param.HasRawPredictionCol

        getRawPredictionCol, setRawPredictionCol

      • 从接口继承的方法 org.apache.flink.ml.common.param.HasWeightCol

        getWeightCol, setWeightCol

      • 从接口继承的方法 org.apache.flink.ml.param.WithParams

        get, getParam, getParamMap, set

    • 字段详细资料

      • METRICS_NAMES

        static final org.apache.flink.ml.param.Param<String[]> METRICS_NAMES
        Param for supported metric names in binary classification evaluation (supports 'areaUnderROC', 'areaUnderPR', 'ks' and 'areaUnderLorenz').
        • areaUnderROC: the area under the receiver operating characteristic (ROC) curve.
        • areaUnderPR: the area under the precision-recall curve.
        • ks: Kolmogorov-Smirnov, measures the ability of the model to separate positive and negative samples.
        • areaUnderLorenz: the area under the lorenz curve.

    • 方法详细资料

      • getMetricsNames

        default String[] getMetricsNames()

      • setMetricsNames

        default T setMetricsNames​(String... value)