final class Anomalies extends GeneratedMessageV3 with AnomaliesOrBuilder
Message to represent the anomalies, which describe the mismatches (if any) between the stats and the schema.
Protobuf type tensorflow.metadata.v0.Anomalies
- Source
- Anomalies.java
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- Anomalies
- AnomaliesOrBuilder
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- @throws(classOf[java.lang.CloneNotSupportedException]) @native()
- def containsAnomalyInfo(key: String): Boolean
Information about feature-level anomalies.
Information about feature-level anomalies.
map<string, .tensorflow.metadata.v0.AnomalyInfo> anomaly_info = 2;
- Definition Classes
- Anomalies → AnomaliesOrBuilder
- Annotations
- @Override()
- final def eq(arg0: AnyRef): Boolean
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- def equals(obj: AnyRef): Boolean
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- Anomalies → AbstractMessage → Message → AnyRef → Any
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- def finalize(): Unit
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- def findInitializationErrors(): List[String]
- Definition Classes
- AbstractMessage → MessageOrBuilder
- def getAllFields(): Map[FieldDescriptor, AnyRef]
- Definition Classes
- GeneratedMessageV3 → MessageOrBuilder
- def getAnomalyInfoCount(): Int
Information about feature-level anomalies.
Information about feature-level anomalies.
map<string, .tensorflow.metadata.v0.AnomalyInfo> anomaly_info = 2;
- Definition Classes
- Anomalies → AnomaliesOrBuilder
- def getAnomalyInfoMap(): Map[String, AnomalyInfo]
Information about feature-level anomalies.
Information about feature-level anomalies.
map<string, .tensorflow.metadata.v0.AnomalyInfo> anomaly_info = 2;
- Definition Classes
- Anomalies → AnomaliesOrBuilder
- Annotations
- @Override()
- def getAnomalyInfoOrDefault(key: String, defaultValue: AnomalyInfo): AnomalyInfo
Information about feature-level anomalies.
Information about feature-level anomalies.
map<string, .tensorflow.metadata.v0.AnomalyInfo> anomaly_info = 2;
- Definition Classes
- Anomalies → AnomaliesOrBuilder
- Annotations
- @Override()
- def getAnomalyInfoOrThrow(key: String): AnomalyInfo
Information about feature-level anomalies.
Information about feature-level anomalies.
map<string, .tensorflow.metadata.v0.AnomalyInfo> anomaly_info = 2;
- Definition Classes
- Anomalies → AnomaliesOrBuilder
- Annotations
- @Override()
- def getAnomalyNameFormat(): AnomalyNameFormat
The format of the keys in anomaly_info. If absent, default is DEFAULT.
The format of the keys in anomaly_info. If absent, default is DEFAULT.
optional .tensorflow.metadata.v0.Anomalies.AnomalyNameFormat anomaly_name_format = 7;
- returns
The anomalyNameFormat.
- Definition Classes
- Anomalies → AnomaliesOrBuilder
- Annotations
- @Override()
- def getBaseline(): Schema
.tensorflow.metadata.v0.Schema baseline = 1;
.tensorflow.metadata.v0.Schema baseline = 1;
- returns
The baseline.
- Definition Classes
- Anomalies → AnomaliesOrBuilder
- Annotations
- @Override()
- def getBaselineOrBuilder(): SchemaOrBuilder
.tensorflow.metadata.v0.Schema baseline = 1;
.tensorflow.metadata.v0.Schema baseline = 1;
- Definition Classes
- Anomalies → AnomaliesOrBuilder
- Annotations
- @Override()
- def getBaselineSchemaCase(): BaselineSchemaCase
- Definition Classes
- Anomalies → AnomaliesOrBuilder
- final def getClass(): Class[_ <: AnyRef]
- Definition Classes
- AnyRef → Any
- Annotations
- @native()
- def getDataMissing(): Boolean
True if numExamples == 0.
True if numExamples == 0.
optional bool data_missing = 3;
- returns
The dataMissing.
- Definition Classes
- Anomalies → AnomaliesOrBuilder
- Annotations
- @Override()
- def getDatasetAnomalyInfo(): AnomalyInfo
Information about dataset-level anomalies.
Information about dataset-level anomalies.
optional .tensorflow.metadata.v0.AnomalyInfo dataset_anomaly_info = 8;
- returns
The datasetAnomalyInfo.
- Definition Classes
- Anomalies → AnomaliesOrBuilder
- Annotations
- @Override()
- def getDatasetAnomalyInfoOrBuilder(): AnomalyInfoOrBuilder
Information about dataset-level anomalies.
Information about dataset-level anomalies.
optional .tensorflow.metadata.v0.AnomalyInfo dataset_anomaly_info = 8;
- Definition Classes
- Anomalies → AnomaliesOrBuilder
- Annotations
- @Override()
- def getDefaultInstanceForType(): Anomalies
- Definition Classes
- Anomalies → MessageOrBuilder → MessageLiteOrBuilder
- Annotations
- @Override()
- def getDescriptorForType(): Descriptor
- Definition Classes
- GeneratedMessageV3 → MessageOrBuilder
- def getDriftSkewInfo(index: Int): DriftSkewInfo
If drift / skew detection was conducted, this field will hold the comparison results for all the features compared, regardless whether a related anomaly was reported.
If drift / skew detection was conducted, this field will hold the comparison results for all the features compared, regardless whether a related anomaly was reported.
repeated .tensorflow.metadata.v0.DriftSkewInfo drift_skew_info = 9;
- Definition Classes
- Anomalies → AnomaliesOrBuilder
- Annotations
- @Override()
- def getDriftSkewInfoCount(): Int
If drift / skew detection was conducted, this field will hold the comparison results for all the features compared, regardless whether a related anomaly was reported.
If drift / skew detection was conducted, this field will hold the comparison results for all the features compared, regardless whether a related anomaly was reported.
repeated .tensorflow.metadata.v0.DriftSkewInfo drift_skew_info = 9;
- Definition Classes
- Anomalies → AnomaliesOrBuilder
- Annotations
- @Override()
- def getDriftSkewInfoList(): List[DriftSkewInfo]
If drift / skew detection was conducted, this field will hold the comparison results for all the features compared, regardless whether a related anomaly was reported.
If drift / skew detection was conducted, this field will hold the comparison results for all the features compared, regardless whether a related anomaly was reported.
repeated .tensorflow.metadata.v0.DriftSkewInfo drift_skew_info = 9;
- Definition Classes
- Anomalies → AnomaliesOrBuilder
- Annotations
- @Override()
- def getDriftSkewInfoOrBuilder(index: Int): DriftSkewInfoOrBuilder
If drift / skew detection was conducted, this field will hold the comparison results for all the features compared, regardless whether a related anomaly was reported.
If drift / skew detection was conducted, this field will hold the comparison results for all the features compared, regardless whether a related anomaly was reported.
repeated .tensorflow.metadata.v0.DriftSkewInfo drift_skew_info = 9;
- Definition Classes
- Anomalies → AnomaliesOrBuilder
- Annotations
- @Override()
- def getDriftSkewInfoOrBuilderList(): List[_ <: DriftSkewInfoOrBuilder]
If drift / skew detection was conducted, this field will hold the comparison results for all the features compared, regardless whether a related anomaly was reported.
If drift / skew detection was conducted, this field will hold the comparison results for all the features compared, regardless whether a related anomaly was reported.
repeated .tensorflow.metadata.v0.DriftSkewInfo drift_skew_info = 9;
- Definition Classes
- Anomalies → AnomaliesOrBuilder
- Annotations
- @Override()
- def getField(field: FieldDescriptor): AnyRef
- Definition Classes
- GeneratedMessageV3 → MessageOrBuilder
- def getInitializationErrorString(): String
- Definition Classes
- AbstractMessage → MessageOrBuilder
- def getOneofFieldDescriptor(oneof: OneofDescriptor): FieldDescriptor
- Definition Classes
- GeneratedMessageV3 → AbstractMessage → MessageOrBuilder
- def getParserForType(): Parser[Anomalies]
- Definition Classes
- Anomalies → GeneratedMessageV3 → Message → MessageLite
- Annotations
- @Override()
- def getRepeatedField(field: FieldDescriptor, index: Int): AnyRef
- Definition Classes
- GeneratedMessageV3 → MessageOrBuilder
- def getRepeatedFieldCount(field: FieldDescriptor): Int
- Definition Classes
- GeneratedMessageV3 → MessageOrBuilder
- def getSerializedSize(): Int
- Definition Classes
- Anomalies → GeneratedMessageV3 → AbstractMessage → MessageLite
- Annotations
- @Override()
- def getUnknownFields(): UnknownFieldSet
- Definition Classes
- GeneratedMessageV3 → MessageOrBuilder
- def hasAnomalyNameFormat(): Boolean
The format of the keys in anomaly_info. If absent, default is DEFAULT.
The format of the keys in anomaly_info. If absent, default is DEFAULT.
optional .tensorflow.metadata.v0.Anomalies.AnomalyNameFormat anomaly_name_format = 7;
- returns
Whether the anomalyNameFormat field is set.
- Definition Classes
- Anomalies → AnomaliesOrBuilder
- Annotations
- @Override()
- def hasBaseline(): Boolean
.tensorflow.metadata.v0.Schema baseline = 1;
.tensorflow.metadata.v0.Schema baseline = 1;
- returns
Whether the baseline field is set.
- Definition Classes
- Anomalies → AnomaliesOrBuilder
- Annotations
- @Override()
- def hasDataMissing(): Boolean
True if numExamples == 0.
True if numExamples == 0.
optional bool data_missing = 3;
- returns
Whether the dataMissing field is set.
- Definition Classes
- Anomalies → AnomaliesOrBuilder
- Annotations
- @Override()
- def hasDatasetAnomalyInfo(): Boolean
Information about dataset-level anomalies.
Information about dataset-level anomalies.
optional .tensorflow.metadata.v0.AnomalyInfo dataset_anomaly_info = 8;
- returns
Whether the datasetAnomalyInfo field is set.
- Definition Classes
- Anomalies → AnomaliesOrBuilder
- Annotations
- @Override()
- def hasField(field: FieldDescriptor): Boolean
- Definition Classes
- GeneratedMessageV3 → MessageOrBuilder
- def hasOneof(oneof: OneofDescriptor): Boolean
- Definition Classes
- GeneratedMessageV3 → AbstractMessage → MessageOrBuilder
- def hashCode(): Int
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- Anomalies → AbstractMessage → Message → AnyRef → Any
- Annotations
- @Override()
- def internalGetFieldAccessorTable(): FieldAccessorTable
- def internalGetMapFieldReflection(number: Int): MapFieldReflectionAccessor
- final def isInitialized(): Boolean
- Definition Classes
- Anomalies → GeneratedMessageV3 → AbstractMessage → MessageLiteOrBuilder
- Annotations
- @Override()
- final def isInstanceOf[T0]: Boolean
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- Any
- def makeExtensionsImmutable(): Unit
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- protected[protobuf]
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- def newBuilderForType(parent: BuilderParent): Builder
- def newBuilderForType(): Builder
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- Annotations
- @Override()
- def newBuilderForType(parent: BuilderParent): Builder
- Attributes
- protected[protobuf]
- Definition Classes
- GeneratedMessageV3 → AbstractMessage
- def newInstance(unused: UnusedPrivateParameter): AnyRef
- final def notify(): Unit
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- final def notifyAll(): Unit
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- def parseUnknownField(input: CodedInputStream, unknownFields: Builder, extensionRegistry: ExtensionRegistryLite, tag: Int): Boolean
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- final def synchronized[T0](arg0: => T0): T0
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- AnyRef
- def toBuilder(): Builder
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- Anomalies → Message → MessageLite
- Annotations
- @Override()
- def toByteArray(): Array[Byte]
- Definition Classes
- AbstractMessageLite → MessageLite
- def toByteString(): ByteString
- Definition Classes
- AbstractMessageLite → MessageLite
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- def writeReplace(): AnyRef
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- def writeTo(output: CodedOutputStream): Unit
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- @Override()
- def writeTo(output: OutputStream): Unit
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- AbstractMessageLite → MessageLite
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Deprecated Value Members
- def getAnomalyInfo(): Map[String, AnomalyInfo]
Use
#getAnomalyInfoMap()
instead.Use
#getAnomalyInfoMap()
instead.- Definition Classes
- Anomalies → AnomaliesOrBuilder
- Annotations
- @Override() @Deprecated
- Deprecated
- def getBaselineV1(): Schema
.tensorflow.metadata.v0.Schema baseline_v1 = 6 [deprecated = true];
.tensorflow.metadata.v0.Schema baseline_v1 = 6 [deprecated = true];
- returns
The baselineV1.
- Definition Classes
- Anomalies → AnomaliesOrBuilder
- Annotations
- @Override() @Deprecated
- Deprecated
- def getBaselineV1OrBuilder(): SchemaOrBuilder
.tensorflow.metadata.v0.Schema baseline_v1 = 6 [deprecated = true];
.tensorflow.metadata.v0.Schema baseline_v1 = 6 [deprecated = true];
- Definition Classes
- Anomalies → AnomaliesOrBuilder
- Annotations
- @Override() @Deprecated
- Deprecated
- def hasBaselineV1(): Boolean
.tensorflow.metadata.v0.Schema baseline_v1 = 6 [deprecated = true];
.tensorflow.metadata.v0.Schema baseline_v1 = 6 [deprecated = true];
- returns
Whether the baselineV1 field is set.
- Definition Classes
- Anomalies → AnomaliesOrBuilder
- Annotations
- @Override() @Deprecated
- Deprecated
- def internalGetMapField(fieldNumber: Int): MapField[_ <: AnyRef, _ <: AnyRef]
- Attributes
- protected[protobuf]
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