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// Generated by the protocol buffer compiler.  DO NOT EDIT!
// source: tensorflow_metadata/proto/v0/statistics.proto

// Protobuf Java Version: 3.25.4
package org.tensorflow.metadata.v0;

public interface LiftStatisticsOrBuilder extends
    // @@protoc_insertion_point(interface_extends:tensorflow.metadata.v0.LiftStatistics)
    com.google.protobuf.MessageOrBuilder {

  /**
   * 
   * Lift information for each value of path_y. Lift is defined for each pair of
   * values (x,y) as P(path_y=y|path_x=x)/P(path_y=y).
   * 
* * repeated .tensorflow.metadata.v0.LiftSeries lift_series = 1; */ java.util.List getLiftSeriesList(); /** *
   * Lift information for each value of path_y. Lift is defined for each pair of
   * values (x,y) as P(path_y=y|path_x=x)/P(path_y=y).
   * 
* * repeated .tensorflow.metadata.v0.LiftSeries lift_series = 1; */ org.tensorflow.metadata.v0.LiftSeries getLiftSeries(int index); /** *
   * Lift information for each value of path_y. Lift is defined for each pair of
   * values (x,y) as P(path_y=y|path_x=x)/P(path_y=y).
   * 
* * repeated .tensorflow.metadata.v0.LiftSeries lift_series = 1; */ int getLiftSeriesCount(); /** *
   * Lift information for each value of path_y. Lift is defined for each pair of
   * values (x,y) as P(path_y=y|path_x=x)/P(path_y=y).
   * 
* * repeated .tensorflow.metadata.v0.LiftSeries lift_series = 1; */ java.util.List getLiftSeriesOrBuilderList(); /** *
   * Lift information for each value of path_y. Lift is defined for each pair of
   * values (x,y) as P(path_y=y|path_x=x)/P(path_y=y).
   * 
* * repeated .tensorflow.metadata.v0.LiftSeries lift_series = 1; */ org.tensorflow.metadata.v0.LiftSeriesOrBuilder getLiftSeriesOrBuilder( int index); /** *
   * Weighted lift information for each value of path_y. Weighted lift is
   * defined for each pair of values (x,y) as P(path_y=y|path_x=x)/P(path_y=y)
   * where probabilities are computed over weighted example space.
   * 
* * repeated .tensorflow.metadata.v0.LiftSeries weighted_lift_series = 2; */ java.util.List getWeightedLiftSeriesList(); /** *
   * Weighted lift information for each value of path_y. Weighted lift is
   * defined for each pair of values (x,y) as P(path_y=y|path_x=x)/P(path_y=y)
   * where probabilities are computed over weighted example space.
   * 
* * repeated .tensorflow.metadata.v0.LiftSeries weighted_lift_series = 2; */ org.tensorflow.metadata.v0.LiftSeries getWeightedLiftSeries(int index); /** *
   * Weighted lift information for each value of path_y. Weighted lift is
   * defined for each pair of values (x,y) as P(path_y=y|path_x=x)/P(path_y=y)
   * where probabilities are computed over weighted example space.
   * 
* * repeated .tensorflow.metadata.v0.LiftSeries weighted_lift_series = 2; */ int getWeightedLiftSeriesCount(); /** *
   * Weighted lift information for each value of path_y. Weighted lift is
   * defined for each pair of values (x,y) as P(path_y=y|path_x=x)/P(path_y=y)
   * where probabilities are computed over weighted example space.
   * 
* * repeated .tensorflow.metadata.v0.LiftSeries weighted_lift_series = 2; */ java.util.List getWeightedLiftSeriesOrBuilderList(); /** *
   * Weighted lift information for each value of path_y. Weighted lift is
   * defined for each pair of values (x,y) as P(path_y=y|path_x=x)/P(path_y=y)
   * where probabilities are computed over weighted example space.
   * 
* * repeated .tensorflow.metadata.v0.LiftSeries weighted_lift_series = 2; */ org.tensorflow.metadata.v0.LiftSeriesOrBuilder getWeightedLiftSeriesOrBuilder( int index); }




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