Package com.google.cloud.aiplatform.v1
Class ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig
- 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.v1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig
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- All Implemented Interfaces:
ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfigOrBuilder
,com.google.protobuf.Message
,com.google.protobuf.MessageLite
,com.google.protobuf.MessageLiteOrBuilder
,com.google.protobuf.MessageOrBuilder
,Serializable
- Enclosing class:
- ModelMonitoringObjectiveConfig
public static final class ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig extends com.google.protobuf.GeneratedMessageV3 implements ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfigOrBuilder
The config for Training & Prediction data skew detection. It specifies the training dataset sources and the skew detection parameters.
Protobuf typegoogle.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig
- See Also:
- Serialized Form
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Nested Class Summary
Nested Classes Modifier and Type Class Description static class
ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder
The config for Training & Prediction data skew 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
ATTRIBUTION_SCORE_SKEW_THRESHOLDS_FIELD_NUMBER
static int
DEFAULT_SKEW_THRESHOLD_FIELD_NUMBER
static int
SKEW_THRESHOLDS_FIELD_NUMBER
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Method Summary
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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, 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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SKEW_THRESHOLDS_FIELD_NUMBER
public static final int SKEW_THRESHOLDS_FIELD_NUMBER
- See Also:
- Constant Field Values
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ATTRIBUTION_SCORE_SKEW_THRESHOLDS_FIELD_NUMBER
public static final int ATTRIBUTION_SCORE_SKEW_THRESHOLDS_FIELD_NUMBER
- See Also:
- Constant Field Values
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DEFAULT_SKEW_THRESHOLD_FIELD_NUMBER
public static final int DEFAULT_SKEW_THRESHOLD_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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internalGetMapField
protected com.google.protobuf.MapField internalGetMapField(int number)
- Overrides:
internalGetMapField
in classcom.google.protobuf.GeneratedMessageV3
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internalGetFieldAccessorTable
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
- Specified by:
internalGetFieldAccessorTable
in classcom.google.protobuf.GeneratedMessageV3
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getSkewThresholdsCount
public int getSkewThresholdsCount()
Description copied from interface:ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfigOrBuilder
Key is the feature name and value is the threshold. If a feature needs to be monitored for skew, a value threshold must be configured for that feature. The threshold here is against feature distribution distance between the training and prediction feature.
map<string, .google.cloud.aiplatform.v1.ThresholdConfig> skew_thresholds = 1;
- Specified by:
getSkewThresholdsCount
in interfaceModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfigOrBuilder
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containsSkewThresholds
public boolean containsSkewThresholds(String key)
Key is the feature name and value is the threshold. If a feature needs to be monitored for skew, a value threshold must be configured for that feature. The threshold here is against feature distribution distance between the training and prediction feature.
map<string, .google.cloud.aiplatform.v1.ThresholdConfig> skew_thresholds = 1;
- Specified by:
containsSkewThresholds
in interfaceModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfigOrBuilder
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getSkewThresholds
@Deprecated public Map<String,ThresholdConfig> getSkewThresholds()
Deprecated.UsegetSkewThresholdsMap()
instead.- Specified by:
getSkewThresholds
in interfaceModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfigOrBuilder
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getSkewThresholdsMap
public Map<String,ThresholdConfig> getSkewThresholdsMap()
Key is the feature name and value is the threshold. If a feature needs to be monitored for skew, a value threshold must be configured for that feature. The threshold here is against feature distribution distance between the training and prediction feature.
map<string, .google.cloud.aiplatform.v1.ThresholdConfig> skew_thresholds = 1;
- Specified by:
getSkewThresholdsMap
in interfaceModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfigOrBuilder
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getSkewThresholdsOrDefault
public ThresholdConfig getSkewThresholdsOrDefault(String key, ThresholdConfig defaultValue)
Key is the feature name and value is the threshold. If a feature needs to be monitored for skew, a value threshold must be configured for that feature. The threshold here is against feature distribution distance between the training and prediction feature.
map<string, .google.cloud.aiplatform.v1.ThresholdConfig> skew_thresholds = 1;
- Specified by:
getSkewThresholdsOrDefault
in interfaceModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfigOrBuilder
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getSkewThresholdsOrThrow
public ThresholdConfig getSkewThresholdsOrThrow(String key)
Key is the feature name and value is the threshold. If a feature needs to be monitored for skew, a value threshold must be configured for that feature. The threshold here is against feature distribution distance between the training and prediction feature.
map<string, .google.cloud.aiplatform.v1.ThresholdConfig> skew_thresholds = 1;
- Specified by:
getSkewThresholdsOrThrow
in interfaceModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfigOrBuilder
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getAttributionScoreSkewThresholdsCount
public int getAttributionScoreSkewThresholdsCount()
Description copied from interface:ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfigOrBuilder
Key is the feature name and value is the threshold. The threshold here is against attribution score distance between the training and prediction feature.
map<string, .google.cloud.aiplatform.v1.ThresholdConfig> attribution_score_skew_thresholds = 2;
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containsAttributionScoreSkewThresholds
public boolean containsAttributionScoreSkewThresholds(String key)
Key is the feature name and value is the threshold. The threshold here is against attribution score distance between the training and prediction feature.
map<string, .google.cloud.aiplatform.v1.ThresholdConfig> attribution_score_skew_thresholds = 2;
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getAttributionScoreSkewThresholds
@Deprecated public Map<String,ThresholdConfig> getAttributionScoreSkewThresholds()
Deprecated.UsegetAttributionScoreSkewThresholdsMap()
instead.- Specified by:
getAttributionScoreSkewThresholds
in interfaceModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfigOrBuilder
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getAttributionScoreSkewThresholdsMap
public Map<String,ThresholdConfig> getAttributionScoreSkewThresholdsMap()
Key is the feature name and value is the threshold. The threshold here is against attribution score distance between the training and prediction feature.
map<string, .google.cloud.aiplatform.v1.ThresholdConfig> attribution_score_skew_thresholds = 2;
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getAttributionScoreSkewThresholdsOrDefault
public ThresholdConfig getAttributionScoreSkewThresholdsOrDefault(String key, ThresholdConfig defaultValue)
Key is the feature name and value is the threshold. The threshold here is against attribution score distance between the training and prediction feature.
map<string, .google.cloud.aiplatform.v1.ThresholdConfig> attribution_score_skew_thresholds = 2;
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getAttributionScoreSkewThresholdsOrThrow
public ThresholdConfig getAttributionScoreSkewThresholdsOrThrow(String key)
Key is the feature name and value is the threshold. The threshold here is against attribution score distance between the training and prediction feature.
map<string, .google.cloud.aiplatform.v1.ThresholdConfig> attribution_score_skew_thresholds = 2;
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hasDefaultSkewThreshold
public boolean hasDefaultSkewThreshold()
Skew anomaly detection threshold used by all features. When the per-feature thresholds are not set, this field can be used to specify a threshold for all features.
.google.cloud.aiplatform.v1.ThresholdConfig default_skew_threshold = 6;
- Specified by:
hasDefaultSkewThreshold
in interfaceModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfigOrBuilder
- Returns:
- Whether the defaultSkewThreshold field is set.
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getDefaultSkewThreshold
public ThresholdConfig getDefaultSkewThreshold()
Skew anomaly detection threshold used by all features. When the per-feature thresholds are not set, this field can be used to specify a threshold for all features.
.google.cloud.aiplatform.v1.ThresholdConfig default_skew_threshold = 6;
- Specified by:
getDefaultSkewThreshold
in interfaceModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfigOrBuilder
- Returns:
- The defaultSkewThreshold.
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getDefaultSkewThresholdOrBuilder
public ThresholdConfigOrBuilder getDefaultSkewThresholdOrBuilder()
Skew anomaly detection threshold used by all features. When the per-feature thresholds are not set, this field can be used to specify a threshold for all features.
.google.cloud.aiplatform.v1.ThresholdConfig default_skew_threshold = 6;
- Specified by:
getDefaultSkewThresholdOrBuilder
in interfaceModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfigOrBuilder
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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 ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig parseFrom(ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException
- Throws:
com.google.protobuf.InvalidProtocolBufferException
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parseFrom
public static ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig 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 ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig parseFrom(com.google.protobuf.ByteString data) throws com.google.protobuf.InvalidProtocolBufferException
- Throws:
com.google.protobuf.InvalidProtocolBufferException
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parseFrom
public static ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig 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 ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException
- Throws:
com.google.protobuf.InvalidProtocolBufferException
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parseFrom
public static ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig 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 ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig parseFrom(InputStream input) throws IOException
- Throws:
IOException
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parseFrom
public static ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig parseFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
- Throws:
IOException
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parseDelimitedFrom
public static ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig parseDelimitedFrom(InputStream input) throws IOException
- Throws:
IOException
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parseDelimitedFrom
public static ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig parseDelimitedFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
- Throws:
IOException
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parseFrom
public static ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig parseFrom(com.google.protobuf.CodedInputStream input) throws IOException
- Throws:
IOException
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parseFrom
public static ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig parseFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
- Throws:
IOException
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newBuilderForType
public ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.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 ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder newBuilder()
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newBuilder
public static ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder newBuilder(ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig prototype)
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toBuilder
public ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder toBuilder()
- Specified by:
toBuilder
in interfacecom.google.protobuf.Message
- Specified by:
toBuilder
in interfacecom.google.protobuf.MessageLite
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newBuilderForType
protected ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent)
- Specified by:
newBuilderForType
in classcom.google.protobuf.GeneratedMessageV3
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getDefaultInstance
public static ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig getDefaultInstance()
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parser
public static com.google.protobuf.Parser<ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig> parser()
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getParserForType
public com.google.protobuf.Parser<ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig> 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 ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig getDefaultInstanceForType()
- Specified by:
getDefaultInstanceForType
in interfacecom.google.protobuf.MessageLiteOrBuilder
- Specified by:
getDefaultInstanceForType
in interfacecom.google.protobuf.MessageOrBuilder
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