trait DerivedFeatureSourceOrBuilder extends MessageOrBuilder
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- abstract def findInitializationErrors(): List[String]
- Definition Classes
- MessageOrBuilder
- abstract def getAllFields(): Map[FieldDescriptor, AnyRef]
- Definition Classes
- MessageOrBuilder
- abstract def getConfig(): DerivedFeatureConfig
Optional configuration for canned derivers.
Optional configuration for canned derivers.
.tensorflow.metadata.v0.DerivedFeatureConfig config = 5;- returns
The config.
- abstract def getConfigOrBuilder(): DerivedFeatureConfigOrBuilder
Optional configuration for canned derivers.
Optional configuration for canned derivers.
.tensorflow.metadata.v0.DerivedFeatureConfig config = 5; - abstract def getDeclarativelyConfigured(): Boolean
A DerivedFeatureSource that is declaratively configured represents an intent for downstream processing to generate a derived feature (in the schema), or tracks that a feature was generated from such a configuration (in statistics).
A DerivedFeatureSource that is declaratively configured represents an intent for downstream processing to generate a derived feature (in the schema), or tracks that a feature was generated from such a configuration (in statistics).
bool declaratively_configured = 4;- returns
The declarativelyConfigured.
- abstract def getDefaultInstanceForType(): Message
- Definition Classes
- MessageOrBuilder → MessageLiteOrBuilder
- abstract def getDeriverName(): String
The name of the deriver that generated this feature.
The name of the deriver that generated this feature.
string deriver_name = 1;- returns
The deriverName.
- abstract def getDeriverNameBytes(): ByteString
The name of the deriver that generated this feature.
The name of the deriver that generated this feature.
string deriver_name = 1;- returns
The bytes for deriverName.
- abstract def getDescription(): String
An optional description of the transformation.
An optional description of the transformation.
string description = 2;- returns
The description.
- abstract def getDescriptionBytes(): ByteString
An optional description of the transformation.
An optional description of the transformation.
string description = 2;- returns
The bytes for description.
- abstract def getDescriptorForType(): Descriptor
- Definition Classes
- MessageOrBuilder
- abstract def getField(field: FieldDescriptor): AnyRef
- Definition Classes
- MessageOrBuilder
- abstract def getInitializationErrorString(): String
- Definition Classes
- MessageOrBuilder
- 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 getSourcePath(index: Int): Path
The constituent features that went into generating this derived feature.
The constituent features that went into generating this derived feature.
repeated .tensorflow.metadata.v0.Path source_path = 3; - abstract def getSourcePathCount(): Int
The constituent features that went into generating this derived feature.
The constituent features that went into generating this derived feature.
repeated .tensorflow.metadata.v0.Path source_path = 3; - abstract def getSourcePathList(): List[Path]
The constituent features that went into generating this derived feature.
The constituent features that went into generating this derived feature.
repeated .tensorflow.metadata.v0.Path source_path = 3; - abstract def getSourcePathOrBuilder(index: Int): PathOrBuilder
The constituent features that went into generating this derived feature.
The constituent features that went into generating this derived feature.
repeated .tensorflow.metadata.v0.Path source_path = 3; - abstract def getSourcePathOrBuilderList(): List[_ <: PathOrBuilder]
The constituent features that went into generating this derived feature.
The constituent features that went into generating this derived feature.
repeated .tensorflow.metadata.v0.Path source_path = 3; - abstract def getUnknownFields(): UnknownFieldSet
- Definition Classes
- MessageOrBuilder
- abstract def hasConfig(): Boolean
Optional configuration for canned derivers.
Optional configuration for canned derivers.
.tensorflow.metadata.v0.DerivedFeatureConfig config = 5;- returns
Whether the config field is set.
- abstract def hasField(field: FieldDescriptor): Boolean
- Definition Classes
- MessageOrBuilder
- abstract def hasOneof(oneof: OneofDescriptor): Boolean
- Definition Classes
- MessageOrBuilder
- abstract def isInitialized(): Boolean
- Definition Classes
- MessageLiteOrBuilder
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