Class ModelEvaluation.BiasConfig
- java.lang.Object
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- com.google.protobuf.AbstractMessageLite
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- com.google.protobuf.AbstractMessage
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- com.google.protobuf.GeneratedMessageV3
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- com.google.cloud.aiplatform.v1beta1.ModelEvaluation.BiasConfig
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- 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
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Nested Class Summary
Nested Classes Modifier and Type Class Description static class
ModelEvaluation.BiasConfig.Builder
Configuration 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
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Field Summary
Fields Modifier and Type Field Description static int
BIAS_SLICES_FIELD_NUMBER
static int
LABELS_FIELD_NUMBER
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Method Summary
All Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method Description boolean
equals(Object obj)
ModelEvaluationSlice.Slice.SliceSpec
getBiasSlices()
Specification for how the data should be sliced for bias.ModelEvaluationSlice.Slice.SliceSpecOrBuilder
getBiasSlicesOrBuilder()
Specification for how the data should be sliced for bias.static ModelEvaluation.BiasConfig
getDefaultInstance()
ModelEvaluation.BiasConfig
getDefaultInstanceForType()
static com.google.protobuf.Descriptors.Descriptor
getDescriptor()
String
getLabels(int index)
Positive labels selection on the target field.com.google.protobuf.ByteString
getLabelsBytes(int index)
Positive labels selection on the target field.int
getLabelsCount()
Positive labels selection on the target field.com.google.protobuf.ProtocolStringList
getLabelsList()
Positive labels selection on the target field.com.google.protobuf.Parser<ModelEvaluation.BiasConfig>
getParserForType()
int
getSerializedSize()
boolean
hasBiasSlices()
Specification for how the data should be sliced for bias.int
hashCode()
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable()
boolean
isInitialized()
static ModelEvaluation.BiasConfig.Builder
newBuilder()
static ModelEvaluation.BiasConfig.Builder
newBuilder(ModelEvaluation.BiasConfig prototype)
ModelEvaluation.BiasConfig.Builder
newBuilderForType()
protected ModelEvaluation.BiasConfig.Builder
newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent)
protected Object
newInstance(com.google.protobuf.GeneratedMessageV3.UnusedPrivateParameter unused)
static ModelEvaluation.BiasConfig
parseDelimitedFrom(InputStream input)
static ModelEvaluation.BiasConfig
parseDelimitedFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static ModelEvaluation.BiasConfig
parseFrom(byte[] data)
static ModelEvaluation.BiasConfig
parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static ModelEvaluation.BiasConfig
parseFrom(com.google.protobuf.ByteString data)
static ModelEvaluation.BiasConfig
parseFrom(com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static ModelEvaluation.BiasConfig
parseFrom(com.google.protobuf.CodedInputStream input)
static ModelEvaluation.BiasConfig
parseFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static ModelEvaluation.BiasConfig
parseFrom(InputStream input)
static ModelEvaluation.BiasConfig
parseFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static ModelEvaluation.BiasConfig
parseFrom(ByteBuffer data)
static ModelEvaluation.BiasConfig
parseFrom(ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static com.google.protobuf.Parser<ModelEvaluation.BiasConfig>
parser()
ModelEvaluation.BiasConfig.Builder
toBuilder()
void
writeTo(com.google.protobuf.CodedOutputStream output)
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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
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Methods inherited from class com.google.protobuf.AbstractMessage
findInitializationErrors, getInitializationErrorString, hashBoolean, hashEnum, hashEnumList, hashFields, hashLong, toString
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Methods inherited from class com.google.protobuf.AbstractMessageLite
addAll, addAll, checkByteStringIsUtf8, toByteArray, toByteString, writeDelimitedTo, writeTo
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Methods inherited from class java.lang.Object
clone, finalize, getClass, notify, notifyAll, wait, wait, wait
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Field Detail
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BIAS_SLICES_FIELD_NUMBER
public static final int BIAS_SLICES_FIELD_NUMBER
- See Also:
- Constant Field Values
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LABELS_FIELD_NUMBER
public static final int LABELS_FIELD_NUMBER
- See Also:
- Constant Field Values
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Method Detail
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newInstance
protected Object newInstance(com.google.protobuf.GeneratedMessageV3.UnusedPrivateParameter unused)
- Overrides:
newInstance
in classcom.google.protobuf.GeneratedMessageV3
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getDescriptor
public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()
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internalGetFieldAccessorTable
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
- Specified by:
internalGetFieldAccessorTable
in classcom.google.protobuf.GeneratedMessageV3
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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 interfaceModelEvaluation.BiasConfigOrBuilder
- Returns:
- Whether the biasSlices field is set.
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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 interfaceModelEvaluation.BiasConfigOrBuilder
- Returns:
- The biasSlices.
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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 interfaceModelEvaluation.BiasConfigOrBuilder
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getLabelsList
public com.google.protobuf.ProtocolStringList getLabelsList()
Positive labels selection on the target field.
repeated string labels = 2;
- Specified by:
getLabelsList
in interfaceModelEvaluation.BiasConfigOrBuilder
- Returns:
- A list containing the labels.
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getLabelsCount
public int getLabelsCount()
Positive labels selection on the target field.
repeated string labels = 2;
- Specified by:
getLabelsCount
in interfaceModelEvaluation.BiasConfigOrBuilder
- Returns:
- The count of labels.
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getLabels
public String getLabels(int index)
Positive labels selection on the target field.
repeated string labels = 2;
- Specified by:
getLabels
in interfaceModelEvaluation.BiasConfigOrBuilder
- Parameters:
index
- The index of the element to return.- Returns:
- The labels at the given index.
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getLabelsBytes
public com.google.protobuf.ByteString getLabelsBytes(int index)
Positive labels selection on the target field.
repeated string labels = 2;
- Specified by:
getLabelsBytes
in interfaceModelEvaluation.BiasConfigOrBuilder
- Parameters:
index
- The index of the value to return.- Returns:
- The bytes of the labels at the given index.
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isInitialized
public final boolean isInitialized()
- Specified by:
isInitialized
in interfacecom.google.protobuf.MessageLiteOrBuilder
- Overrides:
isInitialized
in classcom.google.protobuf.GeneratedMessageV3
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writeTo
public void writeTo(com.google.protobuf.CodedOutputStream output) throws IOException
- Specified by:
writeTo
in interfacecom.google.protobuf.MessageLite
- Overrides:
writeTo
in classcom.google.protobuf.GeneratedMessageV3
- Throws:
IOException
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getSerializedSize
public int getSerializedSize()
- Specified by:
getSerializedSize
in interfacecom.google.protobuf.MessageLite
- Overrides:
getSerializedSize
in classcom.google.protobuf.GeneratedMessageV3
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equals
public boolean equals(Object obj)
- Specified by:
equals
in interfacecom.google.protobuf.Message
- Overrides:
equals
in classcom.google.protobuf.AbstractMessage
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hashCode
public int hashCode()
- Specified by:
hashCode
in interfacecom.google.protobuf.Message
- Overrides:
hashCode
in classcom.google.protobuf.AbstractMessage
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parseFrom
public static ModelEvaluation.BiasConfig parseFrom(ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException
- Throws:
com.google.protobuf.InvalidProtocolBufferException
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parseFrom
public static ModelEvaluation.BiasConfig parseFrom(ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException
- Throws:
com.google.protobuf.InvalidProtocolBufferException
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parseFrom
public static ModelEvaluation.BiasConfig parseFrom(com.google.protobuf.ByteString data) throws com.google.protobuf.InvalidProtocolBufferException
- Throws:
com.google.protobuf.InvalidProtocolBufferException
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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
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parseFrom
public static ModelEvaluation.BiasConfig parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException
- Throws:
com.google.protobuf.InvalidProtocolBufferException
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parseFrom
public static ModelEvaluation.BiasConfig parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException
- Throws:
com.google.protobuf.InvalidProtocolBufferException
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parseFrom
public static ModelEvaluation.BiasConfig parseFrom(InputStream input) throws IOException
- Throws:
IOException
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parseFrom
public static ModelEvaluation.BiasConfig parseFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
- Throws:
IOException
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parseDelimitedFrom
public static ModelEvaluation.BiasConfig parseDelimitedFrom(InputStream input) throws IOException
- Throws:
IOException
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parseDelimitedFrom
public static ModelEvaluation.BiasConfig parseDelimitedFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
- Throws:
IOException
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parseFrom
public static ModelEvaluation.BiasConfig parseFrom(com.google.protobuf.CodedInputStream input) throws IOException
- Throws:
IOException
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parseFrom
public static ModelEvaluation.BiasConfig parseFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
- Throws:
IOException
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newBuilderForType
public ModelEvaluation.BiasConfig.Builder newBuilderForType()
- Specified by:
newBuilderForType
in interfacecom.google.protobuf.Message
- Specified by:
newBuilderForType
in interfacecom.google.protobuf.MessageLite
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newBuilder
public static ModelEvaluation.BiasConfig.Builder newBuilder()
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newBuilder
public static ModelEvaluation.BiasConfig.Builder newBuilder(ModelEvaluation.BiasConfig prototype)
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toBuilder
public ModelEvaluation.BiasConfig.Builder toBuilder()
- Specified by:
toBuilder
in interfacecom.google.protobuf.Message
- Specified by:
toBuilder
in interfacecom.google.protobuf.MessageLite
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newBuilderForType
protected ModelEvaluation.BiasConfig.Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent)
- Specified by:
newBuilderForType
in classcom.google.protobuf.GeneratedMessageV3
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getDefaultInstance
public static ModelEvaluation.BiasConfig getDefaultInstance()
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parser
public static com.google.protobuf.Parser<ModelEvaluation.BiasConfig> parser()
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getParserForType
public com.google.protobuf.Parser<ModelEvaluation.BiasConfig> getParserForType()
- Specified by:
getParserForType
in interfacecom.google.protobuf.Message
- Specified by:
getParserForType
in interfacecom.google.protobuf.MessageLite
- Overrides:
getParserForType
in classcom.google.protobuf.GeneratedMessageV3
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getDefaultInstanceForType
public ModelEvaluation.BiasConfig getDefaultInstanceForType()
- Specified by:
getDefaultInstanceForType
in interfacecom.google.protobuf.MessageLiteOrBuilder
- Specified by:
getDefaultInstanceForType
in interfacecom.google.protobuf.MessageOrBuilder
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