Add CategoricalCrossStatistics, LiftSeries and LiftValue messages for…

… storing lift.

PiperOrigin-RevId: 286966922

tensorflow_metadata/proto/v0/statistics.proto

@@ -66,7 +66,6 @@ message CrossFeatureStatistics {
 
   oneof cross_stats {
     NumericCrossStatistics num_cross_stats = 4;
-    CategoricalCrossStatistics categorical_cross_stats = 5;
   }
 }
 
@@ -77,54 +76,6 @@ message NumericCrossStatistics {
   float covariance = 2;
 }
 
-message CategoricalCrossStatistics {
-  // 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 LiftSeries lift_series = 1;
-}
-
-message LiftSeries {
-  // A bucket for referring to binned numeric features.
-  message Bucket {
-    // The low value of the bucket, inclusive.
-    double low_value = 1;
-    // The high value of the bucket, exclusive (unless the high_value is
-    // positive infinity).
-    double high_value = 2;
-  }
-
-  // The particular value of path_y corresponding to this LiftSeries. Each
-  // element in lift_values corresponds to the lift a different x_value and
-  // this specific y_value.
-  oneof y_value {
-    int32 y_int = 1;
-    string y_string = 2;
-    Bucket y_bucket = 3;
-  }
-
-  // The number of examples in which y_value appears.
-  uint64 y_count = 4;
-
-  // A container for lift information about a specific value of path_x.
-  message LiftValue {
-    oneof x_value {
-      int32 x_int = 1;
-      string x_string = 2;
-    }
-    // P(path_y=y|path_x=x) / P(path_y=y) for x_value and the enclosing y_value.
-    // In terms of concrete fields, this number represents:
-    // (x_and_y_count / x_count) / (y_count / num_examples)
-    float lift = 3;
-    // The number of examples in which x_value appears.
-    uint64 x_count = 4;
-    // The number of examples in which x_value appears and y_value appears.
-    uint64 x_and_y_count = 5;
-  }
-
-  // The lifts for a each path_x value and this y_value.
-  repeated LiftValue lift_values = 5;
-}
-
 // The complete set of statistics for a given feature name for a dataset.
 message FeatureNameStatistics {
   // The types supported by the feature statistics. When aggregating