feat: add bias_configs to ModelEvaluation (#4349)

* feat: add bias_configs to ModelEvaluation

PiperOrigin-RevId: 540693440

Source-Link: googleapis/googleapis@2d7af51

Source-Link: googleapis/googleapis-gen@c5b5857
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packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1beta1/model_evaluation.proto

@@ -19,6 +19,7 @@ package google.cloud.aiplatform.v1beta1;
 import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
 import "google/cloud/aiplatform/v1beta1/explanation.proto";
+import "google/cloud/aiplatform/v1beta1/model_evaluation_slice.proto";
 import "google/protobuf/struct.proto";
 import "google/protobuf/timestamp.proto";
 
@@ -51,6 +52,38 @@ message ModelEvaluation {
     ExplanationSpec explanation_spec = 2;
   }
 
+  // Configuration for bias detection.
+  message BiasConfig {
+    // Specification for how the data should be sliced for bias. It contains a
+    // list of slices, with limitation of two slices. The first slice of data
+    // will be the slice_a. The second slice in the list (slice_b) will be
+    // compared against the first slice. If only a single slice is provided,
+    // then slice_a will be compared against “not slice_a”.
+    // Below are examples with feature "education" with value "low", "medium",
+    // "high" in the dataset:
+    //
+    // Example 1:
+    //
+    //     bias_slices = [{'education': 'low'}]
+    //
+    // A single slice provided. In this case, slice_a is the collection of data
+    // with 'education' equals 'low', and slice_b is the collection of data with
+    // 'education' equals 'medium' or 'high'.
+    //
+    // Example 2:
+    //
+    //     bias_slices = [{'education': 'low'},
+    //                    {'education': 'high'}]
+    //
+    // Two slices provided. In this case, slice_a is the collection of data
+    // with 'education' equals 'low', and slice_b is the collection of data with
+    // 'education' equals 'high'.
+    ModelEvaluationSlice.Slice.SliceSpec bias_slices = 1;
+
+    // Positive labels selection on the target field.
+    repeated string labels = 2;
+  }
+
   // Output only. The resource name of the ModelEvaluation.
   string name = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
 
@@ -94,4 +127,7 @@ message ModelEvaluation {
   // structured value with keys of "pipeline_job_id", "evaluation_dataset_type",
   // "evaluation_dataset_path".
   google.protobuf.Value metadata = 11;
+
+  // Specify the configuration for bias detection.
+  BiasConfig bias_configs = 12;
 }