class DatasetEncoder extends AnyRef
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- new DatasetEncoder(startLabel: String = "@#Start")
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final
def
!=(arg0: Any): Boolean
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final
def
##(): Int
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final
def
==(arg0: Any): Boolean
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final
def
asInstanceOf[T0]: T0
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- val attr2Id: Map[String, Int]
- val attrFeatures: ArrayBuffer[AttrFeature]
- val attrFeatures2Id: Map[(Int, Int), Int]
- val attrFeaturesFreq: ArrayBuffer[Int]
- val attrFeaturesSum: ArrayBuffer[Float]
- val attributes: ArrayBuffer[Attr]
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def
clone(): AnyRef
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final
def
eq(arg0: AnyRef): Boolean
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def
equals(arg0: Any): Boolean
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def
finalize(): Unit
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final
def
getClass(): Class[_]
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- @native()
- def getFeatures(prevLabel: String = startLabel, label: String, binaryAttrs: Seq[String], numAttrs: Seq[Float]): (Int, SparseArray)
- def getMetadata: DatasetMetadata
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def
hashCode(): Int
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final
def
isInstanceOf[T0]: Boolean
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- val label2Id: Map[String, Int]
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final
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ne(arg0: AnyRef): Boolean
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def
notify(): Unit
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final
def
notifyAll(): Unit
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- val startLabel: String
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final
def
synchronized[T0](arg0: ⇒ T0): T0
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def
toString(): String
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- val transFeaturesFreq: Map[Transition, Int]
- def transitions: Seq[Transition]
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final
def
wait(): Unit
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final
def
wait(arg0: Long, arg1: Int): Unit
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final
def
wait(arg0: Long): Unit
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