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
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- FloatDomain.java
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- FloatDomain
- FloatDomainOrBuilder
- GeneratedMessageV3
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- final def getClass(): Class[_ <: AnyRef]
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- @native()
- def getDefaultInstanceForType(): FloatDomain
- Definition Classes
- FloatDomain → MessageOrBuilder → MessageLiteOrBuilder
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- @Override()
- def getDescriptorForType(): Descriptor
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- GeneratedMessageV3 → MessageOrBuilder
- 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
- FloatDomain → FloatDomainOrBuilder
- Annotations
- @Override()
- 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
- FloatDomain → FloatDomainOrBuilder
- Annotations
- @Override()
- 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
- FloatDomain → FloatDomainOrBuilder
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- @Override()
- def getField(field: FieldDescriptor): AnyRef
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- GeneratedMessageV3 → MessageOrBuilder
- def getInitializationErrorString(): String
- Definition Classes
- AbstractMessage → MessageOrBuilder
- 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
- FloatDomain → FloatDomainOrBuilder
- Annotations
- @Override()
- 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
- FloatDomain → FloatDomainOrBuilder
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- @Override()
- def getMax(): Float
optional float max = 4;
optional float max = 4;
- returns
The max.
- Definition Classes
- FloatDomain → FloatDomainOrBuilder
- Annotations
- @Override()
- 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
- FloatDomain → FloatDomainOrBuilder
- Annotations
- @Override()
- 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
- FloatDomain → FloatDomainOrBuilder
- Annotations
- @Override()
- 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
- FloatDomain → FloatDomainOrBuilder
- Annotations
- @Override()
- def getOneofFieldDescriptor(oneof: OneofDescriptor): FieldDescriptor
- Definition Classes
- GeneratedMessageV3 → AbstractMessage → MessageOrBuilder
- def getParserForType(): Parser[FloatDomain]
- Definition Classes
- FloatDomain → GeneratedMessageV3 → Message → MessageLite
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- @Override()
- def getRepeatedField(field: FieldDescriptor, index: Int): AnyRef
- Definition Classes
- GeneratedMessageV3 → MessageOrBuilder
- def getRepeatedFieldCount(field: FieldDescriptor): Int
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- GeneratedMessageV3 → MessageOrBuilder
- def getSerializedSize(): Int
- Definition Classes
- FloatDomain → GeneratedMessageV3 → AbstractMessage → MessageLite
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- @Override()
- def getUnknownFields(): UnknownFieldSet
- Definition Classes
- GeneratedMessageV3 → MessageOrBuilder
- 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
- FloatDomain → FloatDomainOrBuilder
- Annotations
- @Override()
- 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
- FloatDomain → FloatDomainOrBuilder
- Annotations
- @Override()
- 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
- FloatDomain → FloatDomainOrBuilder
- Annotations
- @Override()
- def hasField(field: FieldDescriptor): Boolean
- Definition Classes
- GeneratedMessageV3 → MessageOrBuilder
- 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
- FloatDomain → FloatDomainOrBuilder
- Annotations
- @Override()
- 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
- FloatDomain → FloatDomainOrBuilder
- Annotations
- @Override()
- def hasMax(): Boolean
optional float max = 4;
optional float max = 4;
- returns
Whether the max field is set.
- Definition Classes
- FloatDomain → FloatDomainOrBuilder
- Annotations
- @Override()
- 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
- FloatDomain → FloatDomainOrBuilder
- Annotations
- @Override()
- 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
- FloatDomain → FloatDomainOrBuilder
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- @Override()
- def hasOneof(oneof: OneofDescriptor): Boolean
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- GeneratedMessageV3 → AbstractMessage → MessageOrBuilder
- def hashCode(): Int
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- FloatDomain → AbstractMessage → Message → AnyRef → Any
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- FloatDomain → GeneratedMessageV3
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- def toByteArray(): Array[Byte]
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