trait FloatDomainOrBuilder extends MessageOrBuilder
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Abstract Value Members
- abstract def findInitializationErrors(): List[String]
- Definition Classes
- MessageOrBuilder
- abstract def getAllFields(): Map[FieldDescriptor, AnyRef]
- Definition Classes
- MessageOrBuilder
- abstract def getDefaultInstanceForType(): Message
- Definition Classes
- MessageOrBuilder → MessageLiteOrBuilder
- abstract def getDescriptorForType(): Descriptor
- Definition Classes
- MessageOrBuilder
- abstract 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.
- abstract 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.
- abstract 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.
- abstract 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.
- abstract 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.
- abstract def getField(field: FieldDescriptor): AnyRef
- Definition Classes
- MessageOrBuilder
- abstract def getInitializationErrorString(): String
- Definition Classes
- MessageOrBuilder
- abstract 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.
- abstract 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.
- abstract def getMax(): Float
optional float max = 4;optional float max = 4;- returns
The max.
- abstract def getMin(): Float
Min and max values of the domain.
Min and max values of the domain.
optional float min = 3;- returns
The min.
- abstract 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.
- abstract 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.
- abstract def getOneofFieldDescriptor(oneof: OneofDescriptor): FieldDescriptor
- Definition Classes
- MessageOrBuilder
- abstract def getRepeatedField(field: FieldDescriptor, index: Int): AnyRef
- Definition Classes
- MessageOrBuilder
- abstract def getRepeatedFieldCount(field: FieldDescriptor): Int
- Definition Classes
- MessageOrBuilder
- abstract def getUnknownFields(): UnknownFieldSet
- Definition Classes
- MessageOrBuilder
- abstract 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.
- abstract 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.
- abstract 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.
- abstract 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.
- abstract def hasField(field: FieldDescriptor): Boolean
- Definition Classes
- MessageOrBuilder
- abstract 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.
- abstract 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.
- abstract def hasMax(): Boolean
optional float max = 4;optional float max = 4;- returns
Whether the max field is set.
- abstract 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.
- abstract 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.
- abstract def hasOneof(oneof: OneofDescriptor): Boolean
- Definition Classes
- MessageOrBuilder
- abstract def isInitialized(): Boolean
- Definition Classes
- MessageLiteOrBuilder
Concrete Value Members
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- Definition Classes
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