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t

org.tensorflow.metadata.v0

DynamicClassSpecOrBuilder

trait DynamicClassSpecOrBuilder extends MessageOrBuilder

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  1. DynamicClassSpecOrBuilder
  2. MessageOrBuilder
  3. MessageLiteOrBuilder
  4. AnyRef
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Visibility
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Abstract Value Members

  1. abstract def findInitializationErrors(): List[String]
    Definition Classes
    MessageOrBuilder
  2. abstract def getAllFields(): Map[FieldDescriptor, AnyRef]
    Definition Classes
    MessageOrBuilder
  3. abstract def getDefaultInstanceForType(): Message
    Definition Classes
    MessageOrBuilder → MessageLiteOrBuilder
  4. abstract def getDescriptorForType(): Descriptor
    Definition Classes
    MessageOrBuilder
  5. abstract def getField(field: FieldDescriptor): AnyRef
    Definition Classes
    MessageOrBuilder
  6. abstract def getInitializationErrorString(): String
    Definition Classes
    MessageOrBuilder
  7. abstract def getOneofFieldDescriptor(oneof: OneofDescriptor): FieldDescriptor
    Definition Classes
    MessageOrBuilder
  8. abstract def getOovClassSpec(): OovClassSpec

    Optional. If specified, an Out-Of-Vocabulary (OOV) class is created and
populated based on frequencies in the training set. If no OOV class is
specified, the model's label vocabulary should consist of all labels that
appear in the training set.


    Optional. If specified, an Out-Of-Vocabulary (OOV) class is created and
populated based on frequencies in the training set. If no OOV class is
specified, the model's label vocabulary should consist of all labels that
appear in the training set.

    .tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec oov_class_spec = 1;

    returns

    The oovClassSpec.

  9. abstract def getOovClassSpecOrBuilder(): OovClassSpecOrBuilder

    Optional. If specified, an Out-Of-Vocabulary (OOV) class is created and
populated based on frequencies in the training set. If no OOV class is
specified, the model's label vocabulary should consist of all labels that
appear in the training set.


    Optional. If specified, an Out-Of-Vocabulary (OOV) class is created and
populated based on frequencies in the training set. If no OOV class is
specified, the model's label vocabulary should consist of all labels that
appear in the training set.

    .tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec oov_class_spec = 1;

  10. abstract def getRepeatedField(field: FieldDescriptor, index: Int): AnyRef
    Definition Classes
    MessageOrBuilder
  11. abstract def getRepeatedFieldCount(field: FieldDescriptor): Int
    Definition Classes
    MessageOrBuilder
  12. abstract def getUnknownFields(): UnknownFieldSet
    Definition Classes
    MessageOrBuilder
  13. abstract def hasField(field: FieldDescriptor): Boolean
    Definition Classes
    MessageOrBuilder
  14. abstract def hasOneof(oneof: OneofDescriptor): Boolean
    Definition Classes
    MessageOrBuilder
  15. abstract def hasOovClassSpec(): Boolean

    Optional. If specified, an Out-Of-Vocabulary (OOV) class is created and
populated based on frequencies in the training set. If no OOV class is
specified, the model's label vocabulary should consist of all labels that
appear in the training set.


    Optional. If specified, an Out-Of-Vocabulary (OOV) class is created and
populated based on frequencies in the training set. If no OOV class is
specified, the model's label vocabulary should consist of all labels that
appear in the training set.

    .tensorflow.metadata.v0.DynamicClassSpec.OovClassSpec oov_class_spec = 1;

    returns

    Whether the oovClassSpec field is set.

  16. abstract def isInitialized(): Boolean
    Definition Classes
    MessageLiteOrBuilder