final case class TrainableAlgorithm(bridge: String = "", trainingType: Option[DataType] = _root_.scala.None, statType: Option[DataType] = _root_.scala.None, inputType: Option[DataType] = _root_.scala.None, outputType: Option[DataType] = _root_.scala.None, unknownFields: UnknownFieldSet = _root_.scalapb.UnknownFieldSet.empty) extends GeneratedMessage with Product with Serializable
A Trainable Algorithm Item.
- trainingType
Data type for training
- statType
Data type for stats generated by training
- inputType
Data type when being trained
- Annotations
- @SerialVersionUID()
Linear Supertypes
Ordering
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Inherited
- TrainableAlgorithm
- Product
- Equals
- GeneratedMessage
- Serializable
- AnyRef
- Any
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Visibility
- Public
- Protected
Instance Constructors
- new TrainableAlgorithm(bridge: String = "", trainingType: Option[DataType] = _root_.scala.None, statType: Option[DataType] = _root_.scala.None, inputType: Option[DataType] = _root_.scala.None, outputType: Option[DataType] = _root_.scala.None, unknownFields: UnknownFieldSet = _root_.scalapb.UnknownFieldSet.empty)
- trainingType
Data type for training
- statType
Data type for stats generated by training
- inputType
Data type when being trained
Value Members
- final def !=(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
- final def ##: Int
- Definition Classes
- AnyRef → Any
- final def ==(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
- final def asInstanceOf[T0]: T0
- Definition Classes
- Any
- val bridge: String
- def clearInputType: TrainableAlgorithm
- def clearOutputType: TrainableAlgorithm
- def clearStatType: TrainableAlgorithm
- def clearTrainingType: TrainableAlgorithm
- def clone(): AnyRef
- Attributes
- protected[lang]
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.CloneNotSupportedException]) @native() @HotSpotIntrinsicCandidate()
- def companion: TrainableAlgorithm
- Definition Classes
- TrainableAlgorithm → GeneratedMessage
- def discardUnknownFields: TrainableAlgorithm
- final def eq(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
- final def getClass(): Class[_ <: AnyRef]
- Definition Classes
- AnyRef → Any
- Annotations
- @native() @HotSpotIntrinsicCandidate()
- def getField(__field: FieldDescriptor): PValue
- Definition Classes
- TrainableAlgorithm → GeneratedMessage
- def getFieldByNumber(__fieldNumber: Int): Any
- Definition Classes
- TrainableAlgorithm → GeneratedMessage
- def getInputType: DataType
- def getOutputType: DataType
- def getStatType: DataType
- def getTrainingType: DataType
- val inputType: Option[DataType]
- final def isInstanceOf[T0]: Boolean
- Definition Classes
- Any
- final def ne(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
- final def notify(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native() @HotSpotIntrinsicCandidate()
- final def notifyAll(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native() @HotSpotIntrinsicCandidate()
- val outputType: Option[DataType]
- def productElementNames: Iterator[String]
- Definition Classes
- Product
- def serializedSize: Int
- Definition Classes
- TrainableAlgorithm → GeneratedMessage
- val statType: Option[DataType]
- final def synchronized[T0](arg0: => T0): T0
- Definition Classes
- AnyRef
- final def toByteArray: Array[Byte]
- Definition Classes
- GeneratedMessage
- final def toByteString: ByteString
- Definition Classes
- GeneratedMessage
- final def toPMessage: PMessage
- Definition Classes
- GeneratedMessage
- def toProtoString: String
- Definition Classes
- TrainableAlgorithm → GeneratedMessage
- val trainingType: Option[DataType]
- val unknownFields: UnknownFieldSet
- final def wait(arg0: Long, arg1: Int): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.InterruptedException])
- final def wait(arg0: Long): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.InterruptedException]) @native()
- final def wait(): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.InterruptedException])
- def withBridge(__v: String): TrainableAlgorithm
- def withInputType(__v: DataType): TrainableAlgorithm
- def withOutputType(__v: DataType): TrainableAlgorithm
- def withStatType(__v: DataType): TrainableAlgorithm
- def withTrainingType(__v: DataType): TrainableAlgorithm
- def withUnknownFields(__v: UnknownFieldSet): TrainableAlgorithm
- final def writeDelimitedTo(output: OutputStream): Unit
- Definition Classes
- GeneratedMessage
- def writeTo(_output__: CodedOutputStream): Unit
- Definition Classes
- TrainableAlgorithm → GeneratedMessage
- final def writeTo(output: OutputStream): Unit
- Definition Classes
- GeneratedMessage