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org.tensorflow.metadata.v0

AnomaliesOrBuilder

trait AnomaliesOrBuilder extends MessageOrBuilder

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Abstract Value Members

  1. abstract def containsAnomalyInfo(key: String): Boolean

    Information about feature-level anomalies.


    Information about feature-level anomalies.

    map<string, .tensorflow.metadata.v0.AnomalyInfo> anomaly_info = 2;

  2. abstract def findInitializationErrors(): List[String]
    Definition Classes
    MessageOrBuilder
  3. abstract def getAllFields(): Map[FieldDescriptor, AnyRef]
    Definition Classes
    MessageOrBuilder
  4. abstract def getAnomalyInfoCount(): Int

    Information about feature-level anomalies.


    Information about feature-level anomalies.

    map<string, .tensorflow.metadata.v0.AnomalyInfo> anomaly_info = 2;

  5. abstract def getAnomalyInfoMap(): Map[String, AnomalyInfo]

    Information about feature-level anomalies.


    Information about feature-level anomalies.

    map<string, .tensorflow.metadata.v0.AnomalyInfo> anomaly_info = 2;

  6. abstract 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;

  7. abstract def getAnomalyInfoOrThrow(key: String): AnomalyInfo

    Information about feature-level anomalies.


    Information about feature-level anomalies.

    map<string, .tensorflow.metadata.v0.AnomalyInfo> anomaly_info = 2;

  8. abstract 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.

  9. abstract def getBaseline(): Schema

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

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

    returns

    The baseline.

  10. abstract def getBaselineOrBuilder(): SchemaOrBuilder

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

  11. abstract def getBaselineSchemaCase(): BaselineSchemaCase
  12. abstract def getDataMissing(): Boolean

    True if numExamples == 0.


    True if numExamples == 0.

    optional bool data_missing = 3;

    returns

    The dataMissing.

  13. abstract 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.

  14. abstract def getDatasetAnomalyInfoOrBuilder(): AnomalyInfoOrBuilder

    Information about dataset-level anomalies.


    Information about dataset-level anomalies.

    optional .tensorflow.metadata.v0.AnomalyInfo dataset_anomaly_info = 8;

  15. abstract def getDefaultInstanceForType(): Message
    Definition Classes
    MessageOrBuilder → MessageLiteOrBuilder
  16. abstract def getDescriptorForType(): Descriptor
    Definition Classes
    MessageOrBuilder
  17. abstract 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;

  18. abstract 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;

  19. abstract 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;

  20. abstract 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;

  21. abstract 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;

  22. abstract def getField(field: FieldDescriptor): AnyRef
    Definition Classes
    MessageOrBuilder
  23. abstract def getInitializationErrorString(): String
    Definition Classes
    MessageOrBuilder
  24. abstract def getOneofFieldDescriptor(oneof: OneofDescriptor): FieldDescriptor
    Definition Classes
    MessageOrBuilder
  25. abstract def getRepeatedField(field: FieldDescriptor, index: Int): AnyRef
    Definition Classes
    MessageOrBuilder
  26. abstract def getRepeatedFieldCount(field: FieldDescriptor): Int
    Definition Classes
    MessageOrBuilder
  27. abstract def getUnknownFields(): UnknownFieldSet
    Definition Classes
    MessageOrBuilder
  28. abstract 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.

  29. abstract def hasBaseline(): Boolean

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

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

    returns

    Whether the baseline field is set.

  30. abstract def hasDataMissing(): Boolean

    True if numExamples == 0.


    True if numExamples == 0.

    optional bool data_missing = 3;

    returns

    Whether the dataMissing field is set.

  31. abstract 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.

  32. abstract def hasField(field: FieldDescriptor): Boolean
    Definition Classes
    MessageOrBuilder
  33. abstract def hasOneof(oneof: OneofDescriptor): Boolean
    Definition Classes
    MessageOrBuilder
  34. abstract def isInitialized(): Boolean
    Definition Classes
    MessageLiteOrBuilder
  35. abstract def getAnomalyInfo(): Map[String, AnomalyInfo]

    Use #getAnomalyInfoMap() instead.

    Use #getAnomalyInfoMap() instead.

    Annotations
    @Deprecated
    Deprecated
  36. abstract def getBaselineV1(): Schema

    .tensorflow.metadata.v0.Schema baseline_v1 = 6 [deprecated = true];

    .tensorflow.metadata.v0.Schema baseline_v1 = 6 [deprecated = true];

    returns

    The baselineV1.

    Annotations
    @Deprecated
    Deprecated
  37. abstract def getBaselineV1OrBuilder(): SchemaOrBuilder

    .tensorflow.metadata.v0.Schema baseline_v1 = 6 [deprecated = true];

    .tensorflow.metadata.v0.Schema baseline_v1 = 6 [deprecated = true];

    Annotations
    @Deprecated
    Deprecated
  38. abstract 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.

    Annotations
    @Deprecated
    Deprecated

Concrete Value Members

  1. final def !=(arg0: Any): Boolean
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    Definition Classes
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    Definition Classes
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    Definition Classes
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    Definition Classes
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  15. final def synchronized[T0](arg0: => T0): T0
    Definition Classes
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    Definition Classes
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  17. final def wait(): Unit
    Definition Classes
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  18. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
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  19. final def wait(arg0: Long): Unit
    Definition Classes
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Inherited from MessageOrBuilder

Inherited from MessageLiteOrBuilder

Inherited from AnyRef

Inherited from Any

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