Packages

final class FloatDomain extends GeneratedMessageV3 with FloatDomainOrBuilder

Encodes information for domains of float values.
Note that FeatureType could be either INT or BYTES.

Protobuf type tensorflow.metadata.v0.FloatDomain

Source
FloatDomain.java
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Inherited
  1. FloatDomain
  2. FloatDomainOrBuilder
  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
    FloatDomain → 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(): FloatDomain
    Definition Classes
    FloatDomain → MessageOrBuilder → MessageLiteOrBuilder
    Annotations
    @Override()
  5. def getDescriptorForType(): Descriptor
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  6. def getDisallowInf(): Boolean

    If true, feature should not contain Inf or -Inf.
    

    If true, feature should not contain Inf or -Inf.
    

    optional bool disallow_inf = 6;

    returns

    The disallowInf.

    Definition Classes
    FloatDomainFloatDomainOrBuilder
    Annotations
    @Override()
  7. def getDisallowNan(): Boolean

    If true, feature should not contain NaNs.
    

    If true, feature should not contain NaNs.
    

    optional bool disallow_nan = 5;

    returns

    The disallowNan.

    Definition Classes
    FloatDomainFloatDomainOrBuilder
    Annotations
    @Override()
  8. def getEmbeddingDim(): Long

    This field specifies the embedding dimension and is only applicable if
    is_embedding is true. It is useful for use cases such as restoring shapes
    for flattened sequence of embeddings.
    

    This field specifies the embedding dimension and is only applicable if
    is_embedding is true. It is useful for use cases such as restoring shapes
    for flattened sequence of embeddings.
    

    optional int64 embedding_dim = 9;

    returns

    The embeddingDim.

    Definition Classes
    FloatDomainFloatDomainOrBuilder
    Annotations
    @Override()
  9. def getEmbeddingType(): String

    Specifies the semantic type of the embedding e.g. sbv4_semantic or pulsar.
    

    Specifies the semantic type of the embedding e.g. sbv4_semantic or pulsar.
    

    optional string embedding_type = 10;

    returns

    The embeddingType.

    Definition Classes
    FloatDomainFloatDomainOrBuilder
    Annotations
    @Override()
  10. def getEmbeddingTypeBytes(): ByteString

    Specifies the semantic type of the embedding e.g. sbv4_semantic or pulsar.
    

    Specifies the semantic type of the embedding e.g. sbv4_semantic or pulsar.
    

    optional string embedding_type = 10;

    returns

    The bytes for embeddingType.

    Definition Classes
    FloatDomainFloatDomainOrBuilder
    Annotations
    @Override()
  11. def getField(field: FieldDescriptor): AnyRef
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  12. def getInitializationErrorString(): String
    Definition Classes
    AbstractMessage → MessageOrBuilder
  13. def getIsCategorical(): Boolean

    If true then the domain encodes categorical values (i.e., ids) rather than
    continuous values.
    

    If true then the domain encodes categorical values (i.e., ids) rather than
    continuous values.
    

    optional bool is_categorical = 8;

    returns

    The isCategorical.

    Definition Classes
    FloatDomainFloatDomainOrBuilder
    Annotations
    @Override()
  14. def getIsEmbedding(): Boolean

    If True, this indicates that the feature is semantically an embedding. This
    can be useful for distinguishing fixed dimensional numeric features that
    should be fed to a model unmodified.
    

    If True, this indicates that the feature is semantically an embedding. This
    can be useful for distinguishing fixed dimensional numeric features that
    should be fed to a model unmodified.
    

    optional bool is_embedding = 7;

    returns

    The isEmbedding.

    Definition Classes
    FloatDomainFloatDomainOrBuilder
    Annotations
    @Override()
  15. def getMax(): Float

    optional float max = 4;

    optional float max = 4;

    returns

    The max.

    Definition Classes
    FloatDomainFloatDomainOrBuilder
    Annotations
    @Override()
  16. def getMin(): Float

    Min and max values of the domain.
    

    Min and max values of the domain.
    

    optional float min = 3;

    returns

    The min.

    Definition Classes
    FloatDomainFloatDomainOrBuilder
    Annotations
    @Override()
  17. def getName(): String

    Id of the domain. Required if the domain is defined at the schema level. If
    so, then the name must be unique within the schema.
    

    Id of the domain. Required if the domain is defined at the schema level. If
    so, then the name must be unique within the schema.
    

    optional string name = 1;

    returns

    The name.

    Definition Classes
    FloatDomainFloatDomainOrBuilder
    Annotations
    @Override()
  18. def getNameBytes(): ByteString

    Id of the domain. Required if the domain is defined at the schema level. If
    so, then the name must be unique within the schema.
    

    Id of the domain. Required if the domain is defined at the schema level. If
    so, then the name must be unique within the schema.
    

    optional string name = 1;

    returns

    The bytes for name.

    Definition Classes
    FloatDomainFloatDomainOrBuilder
    Annotations
    @Override()
  19. def getOneofFieldDescriptor(oneof: OneofDescriptor): FieldDescriptor
    Definition Classes
    GeneratedMessageV3 → AbstractMessage → MessageOrBuilder
  20. def getParserForType(): Parser[FloatDomain]
    Definition Classes
    FloatDomain → GeneratedMessageV3 → Message → MessageLite
    Annotations
    @Override()
  21. def getRepeatedField(field: FieldDescriptor, index: Int): AnyRef
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  22. def getRepeatedFieldCount(field: FieldDescriptor): Int
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  23. def getSerializedSize(): Int
    Definition Classes
    FloatDomain → GeneratedMessageV3 → AbstractMessage → MessageLite
    Annotations
    @Override()
  24. def getUnknownFields(): UnknownFieldSet
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  25. def hasDisallowInf(): Boolean

    If true, feature should not contain Inf or -Inf.
    

    If true, feature should not contain Inf or -Inf.
    

    optional bool disallow_inf = 6;

    returns

    Whether the disallowInf field is set.

    Definition Classes
    FloatDomainFloatDomainOrBuilder
    Annotations
    @Override()
  26. def hasDisallowNan(): Boolean

    If true, feature should not contain NaNs.
    

    If true, feature should not contain NaNs.
    

    optional bool disallow_nan = 5;

    returns

    Whether the disallowNan field is set.

    Definition Classes
    FloatDomainFloatDomainOrBuilder
    Annotations
    @Override()
  27. def hasEmbeddingDim(): Boolean

    This field specifies the embedding dimension and is only applicable if
    is_embedding is true. It is useful for use cases such as restoring shapes
    for flattened sequence of embeddings.
    

    This field specifies the embedding dimension and is only applicable if
    is_embedding is true. It is useful for use cases such as restoring shapes
    for flattened sequence of embeddings.
    

    optional int64 embedding_dim = 9;

    returns

    Whether the embeddingDim field is set.

    Definition Classes
    FloatDomainFloatDomainOrBuilder
    Annotations
    @Override()
  28. def hasEmbeddingType(): Boolean

    Specifies the semantic type of the embedding e.g. sbv4_semantic or pulsar.
    

    Specifies the semantic type of the embedding e.g. sbv4_semantic or pulsar.
    

    optional string embedding_type = 10;

    returns

    Whether the embeddingType field is set.

    Definition Classes
    FloatDomainFloatDomainOrBuilder
    Annotations
    @Override()
  29. def hasField(field: FieldDescriptor): Boolean
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  30. def hasIsCategorical(): Boolean

    If true then the domain encodes categorical values (i.e., ids) rather than
    continuous values.
    

    If true then the domain encodes categorical values (i.e., ids) rather than
    continuous values.
    

    optional bool is_categorical = 8;

    returns

    Whether the isCategorical field is set.

    Definition Classes
    FloatDomainFloatDomainOrBuilder
    Annotations
    @Override()
  31. def hasIsEmbedding(): Boolean

    If True, this indicates that the feature is semantically an embedding. This
    can be useful for distinguishing fixed dimensional numeric features that
    should be fed to a model unmodified.
    

    If True, this indicates that the feature is semantically an embedding. This
    can be useful for distinguishing fixed dimensional numeric features that
    should be fed to a model unmodified.
    

    optional bool is_embedding = 7;

    returns

    Whether the isEmbedding field is set.

    Definition Classes
    FloatDomainFloatDomainOrBuilder
    Annotations
    @Override()
  32. def hasMax(): Boolean

    optional float max = 4;

    optional float max = 4;

    returns

    Whether the max field is set.

    Definition Classes
    FloatDomainFloatDomainOrBuilder
    Annotations
    @Override()
  33. def hasMin(): Boolean

    Min and max values of the domain.
    

    Min and max values of the domain.
    

    optional float min = 3;

    returns

    Whether the min field is set.

    Definition Classes
    FloatDomainFloatDomainOrBuilder
    Annotations
    @Override()
  34. def hasName(): Boolean

    Id of the domain. Required if the domain is defined at the schema level. If
    so, then the name must be unique within the schema.
    

    Id of the domain. Required if the domain is defined at the schema level. If
    so, then the name must be unique within the schema.
    

    optional string name = 1;

    returns

    Whether the name field is set.

    Definition Classes
    FloatDomainFloatDomainOrBuilder
    Annotations
    @Override()
  35. def hasOneof(oneof: OneofDescriptor): Boolean
    Definition Classes
    GeneratedMessageV3 → AbstractMessage → MessageOrBuilder
  36. def hashCode(): Int
    Definition Classes
    FloatDomain → AbstractMessage → Message → AnyRef → Any
    Annotations
    @Override()
  37. final def isInitialized(): Boolean
    Definition Classes
    FloatDomain → GeneratedMessageV3 → AbstractMessage → MessageLiteOrBuilder
    Annotations
    @Override()
  38. def newBuilderForType(): Builder
    Definition Classes
    FloatDomain → Message → MessageLite
    Annotations
    @Override()
  39. def toBuilder(): Builder
    Definition Classes
    FloatDomain → Message → MessageLite
    Annotations
    @Override()
  40. def toByteArray(): Array[Byte]
    Definition Classes
    AbstractMessageLite → MessageLite
  41. def toByteString(): ByteString
    Definition Classes
    AbstractMessageLite → MessageLite
  42. final def toString(): String
    Definition Classes
    AbstractMessage → Message → AnyRef → Any
  43. def writeDelimitedTo(output: OutputStream): Unit
    Definition Classes
    AbstractMessageLite → MessageLite
    Annotations
    @throws(classOf[java.io.IOException])
  44. def writeTo(output: CodedOutputStream): Unit
    Definition Classes
    FloatDomain → GeneratedMessageV3 → AbstractMessage → MessageLite
    Annotations
    @Override()
  45. def writeTo(output: OutputStream): Unit
    Definition Classes
    AbstractMessageLite → MessageLite
    Annotations
    @throws(classOf[java.io.IOException])