Package org.tensorflow.metadata.v0
Interface LiftStatisticsOrBuilder
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- All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder,com.google.protobuf.MessageOrBuilder
- All Known Implementing Classes:
LiftStatistics,LiftStatistics.Builder
public interface LiftStatisticsOrBuilder extends com.google.protobuf.MessageOrBuilder
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Method Summary
All Methods Instance Methods Abstract Methods Modifier and Type Method Description LiftSeriesgetLiftSeries(int index)Lift information for each value of path_y.intgetLiftSeriesCount()Lift information for each value of path_y.List<LiftSeries>getLiftSeriesList()Lift information for each value of path_y.LiftSeriesOrBuildergetLiftSeriesOrBuilder(int index)Lift information for each value of path_y.List<? extends LiftSeriesOrBuilder>getLiftSeriesOrBuilderList()Lift information for each value of path_y.LiftSeriesgetWeightedLiftSeries(int index)Weighted lift information for each value of path_y.intgetWeightedLiftSeriesCount()Weighted lift information for each value of path_y.List<LiftSeries>getWeightedLiftSeriesList()Weighted lift information for each value of path_y.LiftSeriesOrBuildergetWeightedLiftSeriesOrBuilder(int index)Weighted lift information for each value of path_y.List<? extends LiftSeriesOrBuilder>getWeightedLiftSeriesOrBuilderList()Weighted lift information for each value of path_y.-
Methods inherited from interface com.google.protobuf.MessageOrBuilder
findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof
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Method Detail
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getLiftSeriesList
List<LiftSeries> 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;
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getLiftSeries
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;
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getLiftSeriesCount
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;
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getLiftSeriesOrBuilderList
List<? extends LiftSeriesOrBuilder> 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;
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getLiftSeriesOrBuilder
LiftSeriesOrBuilder getLiftSeriesOrBuilder(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;
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getWeightedLiftSeriesList
List<LiftSeries> 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;
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getWeightedLiftSeries
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;
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getWeightedLiftSeriesCount
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;
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getWeightedLiftSeriesOrBuilderList
List<? extends LiftSeriesOrBuilder> 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;
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getWeightedLiftSeriesOrBuilder
LiftSeriesOrBuilder getWeightedLiftSeriesOrBuilder(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;
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