Class ModelEvaluation.BiasConfig
- java.lang.Object
-
- com.google.protobuf.AbstractMessageLite
-
- com.google.protobuf.AbstractMessage
-
- com.google.protobuf.GeneratedMessageV3
-
- 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.GeneratedMessageV3 implements ModelEvaluation.BiasConfigOrBuilder
Configuration for bias detection.
Protobuf typegoogle.cloud.aiplatform.v1beta1.ModelEvaluation.BiasConfig- See Also:
- Serialized Form
-
-
Nested Class Summary
Nested Classes Modifier and Type Class Description static classModelEvaluation.BiasConfig.BuilderConfiguration for bias detection.-
Nested classes/interfaces inherited from class com.google.protobuf.GeneratedMessageV3
com.google.protobuf.GeneratedMessageV3.BuilderParent, com.google.protobuf.GeneratedMessageV3.ExtendableBuilder<MessageT extends com.google.protobuf.GeneratedMessageV3.ExtendableMessage<MessageT>,BuilderT extends com.google.protobuf.GeneratedMessageV3.ExtendableBuilder<MessageT,BuilderT>>, com.google.protobuf.GeneratedMessageV3.ExtendableMessage<MessageT extends com.google.protobuf.GeneratedMessageV3.ExtendableMessage<MessageT>>, com.google.protobuf.GeneratedMessageV3.ExtendableMessageOrBuilder<MessageT extends com.google.protobuf.GeneratedMessageV3.ExtendableMessage<MessageT>>, com.google.protobuf.GeneratedMessageV3.FieldAccessorTable, com.google.protobuf.GeneratedMessageV3.UnusedPrivateParameter
-
-
Field Summary
Fields Modifier and Type Field Description static intBIAS_SLICES_FIELD_NUMBERstatic intLABELS_FIELD_NUMBER
-
Method Summary
All Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method Description booleanequals(Object obj)ModelEvaluationSlice.Slice.SliceSpecgetBiasSlices()Specification for how the data should be sliced for bias.ModelEvaluationSlice.Slice.SliceSpecOrBuildergetBiasSlicesOrBuilder()Specification for how the data should be sliced for bias.static ModelEvaluation.BiasConfiggetDefaultInstance()ModelEvaluation.BiasConfiggetDefaultInstanceForType()static com.google.protobuf.Descriptors.DescriptorgetDescriptor()StringgetLabels(int index)Positive labels selection on the target field.com.google.protobuf.ByteStringgetLabelsBytes(int index)Positive labels selection on the target field.intgetLabelsCount()Positive labels selection on the target field.com.google.protobuf.ProtocolStringListgetLabelsList()Positive labels selection on the target field.com.google.protobuf.Parser<ModelEvaluation.BiasConfig>getParserForType()intgetSerializedSize()booleanhasBiasSlices()Specification for how the data should be sliced for bias.inthashCode()protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTableinternalGetFieldAccessorTable()booleanisInitialized()static ModelEvaluation.BiasConfig.BuildernewBuilder()static ModelEvaluation.BiasConfig.BuildernewBuilder(ModelEvaluation.BiasConfig prototype)ModelEvaluation.BiasConfig.BuildernewBuilderForType()protected ModelEvaluation.BiasConfig.BuildernewBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent)protected ObjectnewInstance(com.google.protobuf.GeneratedMessageV3.UnusedPrivateParameter unused)static ModelEvaluation.BiasConfigparseDelimitedFrom(InputStream input)static ModelEvaluation.BiasConfigparseDelimitedFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)static ModelEvaluation.BiasConfigparseFrom(byte[] data)static ModelEvaluation.BiasConfigparseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)static ModelEvaluation.BiasConfigparseFrom(com.google.protobuf.ByteString data)static ModelEvaluation.BiasConfigparseFrom(com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)static ModelEvaluation.BiasConfigparseFrom(com.google.protobuf.CodedInputStream input)static ModelEvaluation.BiasConfigparseFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)static ModelEvaluation.BiasConfigparseFrom(InputStream input)static ModelEvaluation.BiasConfigparseFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)static ModelEvaluation.BiasConfigparseFrom(ByteBuffer data)static ModelEvaluation.BiasConfigparseFrom(ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)static com.google.protobuf.Parser<ModelEvaluation.BiasConfig>parser()ModelEvaluation.BiasConfig.BuildertoBuilder()voidwriteTo(com.google.protobuf.CodedOutputStream output)-
Methods inherited from class com.google.protobuf.GeneratedMessageV3
canUseUnsafe, computeStringSize, computeStringSizeNoTag, emptyBooleanList, emptyDoubleList, emptyFloatList, emptyIntList, emptyLongList, getAllFields, getDescriptorForType, getField, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof, internalGetMapField, isStringEmpty, makeExtensionsImmutable, makeMutableCopy, mergeFromAndMakeImmutableInternal, mutableCopy, mutableCopy, mutableCopy, mutableCopy, mutableCopy, newBooleanList, newBuilderForType, newDoubleList, newFloatList, newIntList, newLongList, parseDelimitedWithIOException, parseDelimitedWithIOException, parseUnknownField, parseUnknownFieldProto3, parseWithIOException, parseWithIOException, parseWithIOException, parseWithIOException, serializeBooleanMapTo, serializeIntegerMapTo, serializeLongMapTo, serializeStringMapTo, writeReplace, writeString, writeStringNoTag
-
Methods inherited from class com.google.protobuf.AbstractMessage
findInitializationErrors, getInitializationErrorString, hashBoolean, hashEnum, hashEnumList, hashFields, hashLong, toString
-
Methods inherited from class com.google.protobuf.AbstractMessageLite
addAll, addAll, checkByteStringIsUtf8, toByteArray, toByteString, writeDelimitedTo, writeTo
-
Methods inherited from class java.lang.Object
clone, finalize, getClass, notify, notifyAll, wait, wait, wait
-
-
-
-
Field Detail
-
BIAS_SLICES_FIELD_NUMBER
public static final int BIAS_SLICES_FIELD_NUMBER
- See Also:
- Constant Field Values
-
LABELS_FIELD_NUMBER
public static final int LABELS_FIELD_NUMBER
- See Also:
- Constant Field Values
-
-
Method Detail
-
newInstance
protected Object newInstance(com.google.protobuf.GeneratedMessageV3.UnusedPrivateParameter unused)
- Overrides:
newInstancein classcom.google.protobuf.GeneratedMessageV3
-
getDescriptor
public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()
-
internalGetFieldAccessorTable
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
- Specified by:
internalGetFieldAccessorTablein classcom.google.protobuf.GeneratedMessageV3
-
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:
hasBiasSlicesin interfaceModelEvaluation.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:
getBiasSlicesin interfaceModelEvaluation.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:
getBiasSlicesOrBuilderin interfaceModelEvaluation.BiasConfigOrBuilder
-
getLabelsList
public com.google.protobuf.ProtocolStringList getLabelsList()
Positive labels selection on the target field.
repeated string labels = 2;- Specified by:
getLabelsListin interfaceModelEvaluation.BiasConfigOrBuilder- Returns:
- A list containing the labels.
-
getLabelsCount
public int getLabelsCount()
Positive labels selection on the target field.
repeated string labels = 2;- Specified by:
getLabelsCountin interfaceModelEvaluation.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:
getLabelsin interfaceModelEvaluation.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:
getLabelsBytesin interfaceModelEvaluation.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:
isInitializedin interfacecom.google.protobuf.MessageLiteOrBuilder- Overrides:
isInitializedin classcom.google.protobuf.GeneratedMessageV3
-
writeTo
public void writeTo(com.google.protobuf.CodedOutputStream output) throws IOException- Specified by:
writeToin interfacecom.google.protobuf.MessageLite- Overrides:
writeToin classcom.google.protobuf.GeneratedMessageV3- Throws:
IOException
-
getSerializedSize
public int getSerializedSize()
- Specified by:
getSerializedSizein interfacecom.google.protobuf.MessageLite- Overrides:
getSerializedSizein classcom.google.protobuf.GeneratedMessageV3
-
equals
public boolean equals(Object obj)
- Specified by:
equalsin interfacecom.google.protobuf.Message- Overrides:
equalsin classcom.google.protobuf.AbstractMessage
-
hashCode
public int hashCode()
- Specified by:
hashCodein interfacecom.google.protobuf.Message- Overrides:
hashCodein classcom.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:
newBuilderForTypein interfacecom.google.protobuf.Message- Specified by:
newBuilderForTypein interfacecom.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:
toBuilderin interfacecom.google.protobuf.Message- Specified by:
toBuilderin interfacecom.google.protobuf.MessageLite
-
newBuilderForType
protected ModelEvaluation.BiasConfig.Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent)
- Specified by:
newBuilderForTypein classcom.google.protobuf.GeneratedMessageV3
-
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:
getParserForTypein interfacecom.google.protobuf.Message- Specified by:
getParserForTypein interfacecom.google.protobuf.MessageLite- Overrides:
getParserForTypein classcom.google.protobuf.GeneratedMessageV3
-
getDefaultInstanceForType
public ModelEvaluation.BiasConfig getDefaultInstanceForType()
- Specified by:
getDefaultInstanceForTypein interfacecom.google.protobuf.MessageLiteOrBuilder- Specified by:
getDefaultInstanceForTypein interfacecom.google.protobuf.MessageOrBuilder
-
-