Packages

c

org.tensorflow.metadata.v0

SequenceMetadata

final class SequenceMetadata extends GeneratedMessageV3 with SequenceMetadataOrBuilder

Protobuf type tensorflow.metadata.v0.SequenceMetadata

Source
SequenceMetadata.java
Linear Supertypes
SequenceMetadataOrBuilder, GeneratedMessageV3, Serializable, AbstractMessage, Message, MessageOrBuilder, AbstractMessageLite[MessageType, BuilderType], MessageLite, MessageLiteOrBuilder, AnyRef, Any
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Inherited
  1. SequenceMetadata
  2. SequenceMetadataOrBuilder
  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 equals(obj: AnyRef): Boolean
    Definition Classes
    SequenceMetadata → AbstractMessage → Message → AnyRef → Any
    Annotations
    @Override()
  2. def findInitializationErrors(): List[String]
    Definition Classes
    AbstractMessage → MessageOrBuilder
  3. def getAllFields(): Map[FieldDescriptor, AnyRef]
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  4. def getDefaultInstanceForType(): SequenceMetadata
    Definition Classes
    SequenceMetadata → MessageOrBuilder → MessageLiteOrBuilder
    Annotations
    @Override()
  5. def getDescriptorForType(): Descriptor
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  6. def getField(field: FieldDescriptor): AnyRef
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  7. def getInitializationErrorString(): String
    Definition Classes
    AbstractMessage → MessageOrBuilder
  8. def getJointGroup(): String

    An arbitrary string defining a "group" of features that could be modeled as
a single joint sequence. For example, consider a dataset that contains
three sequential features "purchase_time", "product_id", "purchase_price".
These belong to the same sequence of purchases and could be modeled
jointly. Specifying joint_group = "purchase" on all three sequences would
communicate that the features can be considered part of a single conceptual
sequence.


    An arbitrary string defining a "group" of features that could be modeled as
a single joint sequence. For example, consider a dataset that contains
three sequential features "purchase_time", "product_id", "purchase_price".
These belong to the same sequence of purchases and could be modeled
jointly. Specifying joint_group = "purchase" on all three sequences would
communicate that the features can be considered part of a single conceptual
sequence.

    optional string joint_group = 4;

    returns

    The jointGroup.

    Definition Classes
    SequenceMetadata → SequenceMetadataOrBuilder
    Annotations
    @Override()
  9. def getJointGroupBytes(): ByteString

    An arbitrary string defining a "group" of features that could be modeled as
a single joint sequence. For example, consider a dataset that contains
three sequential features "purchase_time", "product_id", "purchase_price".
These belong to the same sequence of purchases and could be modeled
jointly. Specifying joint_group = "purchase" on all three sequences would
communicate that the features can be considered part of a single conceptual
sequence.


    An arbitrary string defining a "group" of features that could be modeled as
a single joint sequence. For example, consider a dataset that contains
three sequential features "purchase_time", "product_id", "purchase_price".
These belong to the same sequence of purchases and could be modeled
jointly. Specifying joint_group = "purchase" on all three sequences would
communicate that the features can be considered part of a single conceptual
sequence.

    optional string joint_group = 4;

    returns

    The bytes for jointGroup.

    Definition Classes
    SequenceMetadata → SequenceMetadataOrBuilder
    Annotations
    @Override()
  10. def getOneofFieldDescriptor(oneof: OneofDescriptor): FieldDescriptor
    Definition Classes
    GeneratedMessageV3 → AbstractMessage → MessageOrBuilder
  11. def getParserForType(): Parser[SequenceMetadata]
    Definition Classes
    SequenceMetadata → GeneratedMessageV3 → Message → MessageLite
    Annotations
    @Override()
  12. def getRepeatedField(field: FieldDescriptor, index: Int): AnyRef
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  13. def getRepeatedFieldCount(field: FieldDescriptor): Int
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  14. def getSequenceTruncationLimit(): Long

    Specifies the maximum sequence length that should be processed. Sequences
may exceed this limit but are expected to be truncated by modeling layers.


    Specifies the maximum sequence length that should be processed. Sequences
may exceed this limit but are expected to be truncated by modeling layers.

    optional int64 sequence_truncation_limit = 5;

    returns

    The sequenceTruncationLimit.

    Definition Classes
    SequenceMetadata → SequenceMetadataOrBuilder
    Annotations
    @Override()
  15. def getSequentialStatus(): SequentialStatus

    optional .tensorflow.metadata.v0.SequenceMetadata.SequentialStatus sequential_status = 3;

    optional .tensorflow.metadata.v0.SequenceMetadata.SequentialStatus sequential_status = 3;

    returns

    The sequentialStatus.

    Definition Classes
    SequenceMetadata → SequenceMetadataOrBuilder
    Annotations
    @Override()
  16. def getSerializedSize(): Int
    Definition Classes
    SequenceMetadata → GeneratedMessageV3 → AbstractMessage → MessageLite
    Annotations
    @Override()
  17. def getUnknownFields(): UnknownFieldSet
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  18. def hasField(field: FieldDescriptor): Boolean
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  19. def hasJointGroup(): Boolean

    An arbitrary string defining a "group" of features that could be modeled as
a single joint sequence. For example, consider a dataset that contains
three sequential features "purchase_time", "product_id", "purchase_price".
These belong to the same sequence of purchases and could be modeled
jointly. Specifying joint_group = "purchase" on all three sequences would
communicate that the features can be considered part of a single conceptual
sequence.


    An arbitrary string defining a "group" of features that could be modeled as
a single joint sequence. For example, consider a dataset that contains
three sequential features "purchase_time", "product_id", "purchase_price".
These belong to the same sequence of purchases and could be modeled
jointly. Specifying joint_group = "purchase" on all three sequences would
communicate that the features can be considered part of a single conceptual
sequence.

    optional string joint_group = 4;

    returns

    Whether the jointGroup field is set.

    Definition Classes
    SequenceMetadata → SequenceMetadataOrBuilder
    Annotations
    @Override()
  20. def hasOneof(oneof: OneofDescriptor): Boolean
    Definition Classes
    GeneratedMessageV3 → AbstractMessage → MessageOrBuilder
  21. def hasSequenceTruncationLimit(): Boolean

    Specifies the maximum sequence length that should be processed. Sequences
may exceed this limit but are expected to be truncated by modeling layers.


    Specifies the maximum sequence length that should be processed. Sequences
may exceed this limit but are expected to be truncated by modeling layers.

    optional int64 sequence_truncation_limit = 5;

    returns

    Whether the sequenceTruncationLimit field is set.

    Definition Classes
    SequenceMetadata → SequenceMetadataOrBuilder
    Annotations
    @Override()
  22. def hasSequentialStatus(): Boolean

    optional .tensorflow.metadata.v0.SequenceMetadata.SequentialStatus sequential_status = 3;

    optional .tensorflow.metadata.v0.SequenceMetadata.SequentialStatus sequential_status = 3;

    returns

    Whether the sequentialStatus field is set.

    Definition Classes
    SequenceMetadata → SequenceMetadataOrBuilder
    Annotations
    @Override()
  23. def hashCode(): Int
    Definition Classes
    SequenceMetadata → AbstractMessage → Message → AnyRef → Any
    Annotations
    @Override()
  24. final def isInitialized(): Boolean
    Definition Classes
    SequenceMetadata → GeneratedMessageV3 → AbstractMessage → MessageLiteOrBuilder
    Annotations
    @Override()
  25. def newBuilderForType(): Builder
    Definition Classes
    SequenceMetadata → Message → MessageLite
    Annotations
    @Override()
  26. def toBuilder(): Builder
    Definition Classes
    SequenceMetadata → Message → MessageLite
    Annotations
    @Override()
  27. def toByteArray(): Array[Byte]
    Definition Classes
    AbstractMessageLite → MessageLite
  28. def toByteString(): ByteString
    Definition Classes
    AbstractMessageLite → MessageLite
  29. final def toString(): String
    Definition Classes
    AbstractMessage → Message → AnyRef → Any
  30. def writeDelimitedTo(output: OutputStream): Unit
    Definition Classes
    AbstractMessageLite → MessageLite
    Annotations
    @throws(classOf[java.io.IOException])
  31. def writeTo(output: CodedOutputStream): Unit
    Definition Classes
    SequenceMetadata → GeneratedMessageV3 → AbstractMessage → MessageLite
    Annotations
    @Override()
  32. def writeTo(output: OutputStream): Unit
    Definition Classes
    AbstractMessageLite → MessageLite
    Annotations
    @throws(classOf[java.io.IOException])