Package com.google.cloud.aiplatform.v1beta1

Class ModelEvaluation.BiasConfig

java.lang.Object
com.google.protobuf.AbstractMessageLite
com.google.protobuf.AbstractMessage
com.google.protobuf.GeneratedMessage
com.google.cloud.aiplatform.v1beta1.ModelEvaluation.BiasConfig
All Implemented Interfaces:
ModelEvaluation.BiasConfigOrBuilder, com.google.protobuf.Message, com.google.protobuf.MessageLite, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Serializable
Enclosing class:
ModelEvaluation
public static final class ModelEvaluation.BiasConfig extends com.google.protobuf.GeneratedMessage implements ModelEvaluation.BiasConfigOrBuilder
 Configuration for bias detection.
Protobuf type google.cloud.aiplatform.v1beta1.ModelEvaluation.BiasConfig
See Also:

  • Field Details

  • Method Details

    • getDescriptor

      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()

    • internalGetFieldAccessorTable

      protected com.google.protobuf.GeneratedMessage.FieldAccessorTable internalGetFieldAccessorTable()
      Specified by:
      internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessage

    • hasBiasSlices

      public boolean hasBiasSlices()
       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'.
      .google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.Slice.SliceSpec bias_slices = 1;
      Specified by:
      hasBiasSlices in interface ModelEvaluation.BiasConfigOrBuilder
      Returns:
      Whether the biasSlices field is set.

    • getBiasSlices

      public ModelEvaluationSlice.Slice.SliceSpec getBiasSlices()
       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'.
      .google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.Slice.SliceSpec bias_slices = 1;
      Specified by:
      getBiasSlices in interface ModelEvaluation.BiasConfigOrBuilder
      Returns:
      The biasSlices.

    • getBiasSlicesOrBuilder

      public ModelEvaluationSlice.Slice.SliceSpecOrBuilder getBiasSlicesOrBuilder()
       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'.
      .google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.Slice.SliceSpec bias_slices = 1;
      Specified by:
      getBiasSlicesOrBuilder in interface ModelEvaluation.BiasConfigOrBuilder

    • getLabelsList

      public com.google.protobuf.ProtocolStringList getLabelsList()
       Positive labels selection on the target field.
      repeated string labels = 2;
      Specified by:
      getLabelsList in interface ModelEvaluation.BiasConfigOrBuilder
      Returns:
      A list containing the labels.

    • getLabelsCount

      public int getLabelsCount()
       Positive labels selection on the target field.
      repeated string labels = 2;
      Specified by:
      getLabelsCount in interface ModelEvaluation.BiasConfigOrBuilder
      Returns:
      The count of labels.

    • getLabels

      public String getLabels(int index)
       Positive labels selection on the target field.
      repeated string labels = 2;
      Specified by:
      getLabels in interface ModelEvaluation.BiasConfigOrBuilder
      Parameters:
      index - The index of the element to return.
      Returns:
      The labels at the given index.

    • getLabelsBytes

      public com.google.protobuf.ByteString getLabelsBytes(int index)
       Positive labels selection on the target field.
      repeated string labels = 2;
      Specified by:
      getLabelsBytes in interface ModelEvaluation.BiasConfigOrBuilder
      Parameters:
      index - The index of the value to return.
      Returns:
      The bytes of the labels at the given index.

    • isInitialized

      public final boolean isInitialized()
      Specified by:
      isInitialized in interface com.google.protobuf.MessageLiteOrBuilder
      Overrides:
      isInitialized in class com.google.protobuf.GeneratedMessage

    • writeTo

      public void writeTo(com.google.protobuf.CodedOutputStream output) throws IOException
      Specified by:
      writeTo in interface com.google.protobuf.MessageLite
      Overrides:
      writeTo in class com.google.protobuf.GeneratedMessage
      Throws:
      IOException

    • getSerializedSize

      public int getSerializedSize()
      Specified by:
      getSerializedSize in interface com.google.protobuf.MessageLite
      Overrides:
      getSerializedSize in class com.google.protobuf.GeneratedMessage

    • equals

      public boolean equals(Object obj)
      Specified by:
      equals in interface com.google.protobuf.Message
      Overrides:
      equals in class com.google.protobuf.AbstractMessage

    • hashCode

      public int hashCode()
      Specified by:
      hashCode in interface com.google.protobuf.Message
      Overrides:
      hashCode in class com.google.protobuf.AbstractMessage

    • parseFrom

      public static ModelEvaluation.BiasConfig parseFrom(ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException
      Throws:
      com.google.protobuf.InvalidProtocolBufferException

    • parseFrom

      public static ModelEvaluation.BiasConfig parseFrom(ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException
      Throws:
      com.google.protobuf.InvalidProtocolBufferException

    • parseFrom

      public static ModelEvaluation.BiasConfig parseFrom(com.google.protobuf.ByteString data) throws com.google.protobuf.InvalidProtocolBufferException
      Throws:
      com.google.protobuf.InvalidProtocolBufferException

    • parseFrom

      public static ModelEvaluation.BiasConfig parseFrom(com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException
      Throws:
      com.google.protobuf.InvalidProtocolBufferException

    • parseFrom

      public static ModelEvaluation.BiasConfig parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException
      Throws:
      com.google.protobuf.InvalidProtocolBufferException

    • parseFrom

      public static ModelEvaluation.BiasConfig parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException
      Throws:
      com.google.protobuf.InvalidProtocolBufferException

    • parseFrom

      public static ModelEvaluation.BiasConfig parseFrom(InputStream input) throws IOException
      Throws:
      IOException

    • parseFrom

      public static ModelEvaluation.BiasConfig parseFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
      Throws:
      IOException

    • parseDelimitedFrom

      public static ModelEvaluation.BiasConfig parseDelimitedFrom(InputStream input) throws IOException
      Throws:
      IOException

    • parseDelimitedFrom

      public static ModelEvaluation.BiasConfig parseDelimitedFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
      Throws:
      IOException

    • parseFrom

      public static ModelEvaluation.BiasConfig parseFrom(com.google.protobuf.CodedInputStream input) throws IOException
      Throws:
      IOException

    • parseFrom

      public static ModelEvaluation.BiasConfig parseFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
      Throws:
      IOException

    • newBuilderForType

      public ModelEvaluation.BiasConfig.Builder newBuilderForType()
      Specified by:
      newBuilderForType in interface com.google.protobuf.Message
      Specified by:
      newBuilderForType in interface com.google.protobuf.MessageLite

    • newBuilder

      public static ModelEvaluation.BiasConfig.Builder newBuilder()

    • newBuilder

      public static ModelEvaluation.BiasConfig.Builder newBuilder(ModelEvaluation.BiasConfig prototype)

    • toBuilder

      public ModelEvaluation.BiasConfig.Builder toBuilder()
      Specified by:
      toBuilder in interface com.google.protobuf.Message
      Specified by:
      toBuilder in interface com.google.protobuf.MessageLite

    • newBuilderForType

      protected ModelEvaluation.BiasConfig.Builder newBuilderForType(com.google.protobuf.AbstractMessage.BuilderParent parent)
      Overrides:
      newBuilderForType in class com.google.protobuf.AbstractMessage

    • getDefaultInstance

      public static ModelEvaluation.BiasConfig getDefaultInstance()

    • parser

      public static com.google.protobuf.Parser<ModelEvaluation.BiasConfig> parser()

    • getParserForType

      public com.google.protobuf.Parser<ModelEvaluation.BiasConfig> getParserForType()
      Specified by:
      getParserForType in interface com.google.protobuf.Message
      Specified by:
      getParserForType in interface com.google.protobuf.MessageLite
      Overrides:
      getParserForType in class com.google.protobuf.GeneratedMessage

    • getDefaultInstanceForType

      public ModelEvaluation.BiasConfig getDefaultInstanceForType()
      Specified by:
      getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder
      Specified by:
      getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder