Packages

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
Linear Supertypes
AnomaliesOrBuilder, GeneratedMessageV3, Serializable, AbstractMessage, Message, MessageOrBuilder, AbstractMessageLite[MessageType, BuilderType], MessageLite, MessageLiteOrBuilder, AnyRef, Any
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Inherited
  1. Anomalies
  2. AnomaliesOrBuilder
  3. GeneratedMessageV3
  4. Serializable
  5. AbstractMessage
  6. Message
  7. MessageOrBuilder
  8. AbstractMessageLite
  9. MessageLite
  10. MessageLiteOrBuilder
  11. AnyRef
  12. Any
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Visibility
  1. Public
  2. Protected

Value Members

  1. 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()
  2. def equals(obj: AnyRef): Boolean
    Definition Classes
    Anomalies → AbstractMessage → Message → AnyRef → Any
    Annotations
    @Override()
  3. def findInitializationErrors(): List[String]
    Definition Classes
    AbstractMessage → MessageOrBuilder
  4. def getAllFields(): Map[FieldDescriptor, AnyRef]
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  5. 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
  6. 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()
  7. 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()
  8. 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()
  9. 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()
  10. def getBaseline(): Schema

    .tensorflow.metadata.v0.Schema baseline = 1;

    .tensorflow.metadata.v0.Schema baseline = 1;

    returns

    The baseline.

    Definition Classes
    Anomalies → AnomaliesOrBuilder
    Annotations
    @Override()
  11. def getBaselineOrBuilder(): SchemaOrBuilder

    .tensorflow.metadata.v0.Schema baseline = 1;

    .tensorflow.metadata.v0.Schema baseline = 1;

    Definition Classes
    Anomalies → AnomaliesOrBuilder
    Annotations
    @Override()
  12. def getBaselineSchemaCase(): BaselineSchemaCase
    Definition Classes
    Anomalies → AnomaliesOrBuilder
  13. 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()
  14. 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()
  15. 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()
  16. def getDefaultInstanceForType(): Anomalies
    Definition Classes
    Anomalies → MessageOrBuilder → MessageLiteOrBuilder
    Annotations
    @Override()
  17. def getDescriptorForType(): Descriptor
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  18. 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()
  19. 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()
  20. 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()
  21. 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()
  22. 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()
  23. def getField(field: FieldDescriptor): AnyRef
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  24. def getInitializationErrorString(): String
    Definition Classes
    AbstractMessage → MessageOrBuilder
  25. def getOneofFieldDescriptor(oneof: OneofDescriptor): FieldDescriptor
    Definition Classes
    GeneratedMessageV3 → AbstractMessage → MessageOrBuilder
  26. def getParserForType(): Parser[Anomalies]
    Definition Classes
    Anomalies → GeneratedMessageV3 → Message → MessageLite
    Annotations
    @Override()
  27. def getRepeatedField(field: FieldDescriptor, index: Int): AnyRef
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  28. def getRepeatedFieldCount(field: FieldDescriptor): Int
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  29. def getSerializedSize(): Int
    Definition Classes
    Anomalies → GeneratedMessageV3 → AbstractMessage → MessageLite
    Annotations
    @Override()
  30. def getUnknownFields(): UnknownFieldSet
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  31. 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()
  32. 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()
  33. 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()
  34. 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()
  35. def hasField(field: FieldDescriptor): Boolean
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  36. def hasOneof(oneof: OneofDescriptor): Boolean
    Definition Classes
    GeneratedMessageV3 → AbstractMessage → MessageOrBuilder
  37. def hashCode(): Int
    Definition Classes
    Anomalies → AbstractMessage → Message → AnyRef → Any
    Annotations
    @Override()
  38. final def isInitialized(): Boolean
    Definition Classes
    Anomalies → GeneratedMessageV3 → AbstractMessage → MessageLiteOrBuilder
    Annotations
    @Override()
  39. def newBuilderForType(): Builder
    Definition Classes
    Anomalies → Message → MessageLite
    Annotations
    @Override()
  40. def toBuilder(): Builder
    Definition Classes
    Anomalies → Message → MessageLite
    Annotations
    @Override()
  41. def toByteArray(): Array[Byte]
    Definition Classes
    AbstractMessageLite → MessageLite
  42. def toByteString(): ByteString
    Definition Classes
    AbstractMessageLite → MessageLite
  43. final def toString(): String
    Definition Classes
    AbstractMessage → Message → AnyRef → Any
  44. def writeDelimitedTo(output: OutputStream): Unit
    Definition Classes
    AbstractMessageLite → MessageLite
    Annotations
    @throws(classOf[java.io.IOException])
  45. def writeTo(output: CodedOutputStream): Unit
    Definition Classes
    Anomalies → GeneratedMessageV3 → AbstractMessage → MessageLite
    Annotations
    @Override()
  46. def writeTo(output: OutputStream): Unit
    Definition Classes
    AbstractMessageLite → MessageLite
    Annotations
    @throws(classOf[java.io.IOException])

Deprecated Value Members

  1. def getAnomalyInfo(): Map[String, AnomalyInfo]

    Use #getAnomalyInfoMap() instead.

    Use #getAnomalyInfoMap() instead.

    Definition Classes
    Anomalies → AnomaliesOrBuilder
    Annotations
    @Override() @Deprecated
    Deprecated
  2. 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
  3. 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
  4. 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