object
Datasets
Value Members
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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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def
clone(): AnyRef
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def
crossValidate[L, F](dataset: Dataset[L, F], classifierFactory: () ⇒ Classifier[L, F], numFolds: Int = 5): Iterable[(L, L)]
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final
def
eq(arg0: AnyRef): Boolean
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def
equals(arg0: Any): Boolean
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def
featureSelectionByFrequency[L, F](dataset: Dataset[L, F], classifierFactory: () ⇒ Classifier[L, F], scoringMetric: (Iterable[(L, L)]) ⇒ Double, numFolds: Int = 5): Set[Int]
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def
featureSelectionByInformativeness[L, F](dataset: Dataset[L, F], classifierFactory: () ⇒ Classifier[L, F], scoringMetric: (Iterable[(L, L)]) ⇒ Double, minFreq: Int = 10, numFolds: Int = 5, step: Int = 1000): Set[Int]
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def
finalize(): Unit
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final
def
getClass(): Class[_]
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def
hashCode(): Int
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def
incrementalFeatureSelection[L, F](dataset: Dataset[L, F], classifierFactory: () ⇒ Classifier[L, F], scoringMetric: (Iterable[(L, L)]) ⇒ Double, featureGroups: Map[String, Set[Int]], numFolds: Int = 5, nCores: Int = 8): Set[String]
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def
informationGain[L, F](rowsWithTerm: Double, rowsWithoutTerm: Double, labelsWithTerm: Counter[Int], labelsWithoutTerm: Counter[Int], ND: Int, NL: Int): Double
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final
def
isInstanceOf[T0]: Boolean
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def
keepMoreFrequent(features: Counter[Int], threshold: Double): Set[Int]
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val
logger: Logger
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def
mkFolds(numFolds: Int, size: Int): Iterable[DatasetFold]
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def
mkTrainIndices[F](datasetSize: Int, spans: Option[Iterable[(Int, Int)]]): Array[Int]
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final
def
ne(arg0: AnyRef): Boolean
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final
def
notify(): Unit
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final
def
notifyAll(): Unit
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def
scoreFeatures[L, F](dataset: Dataset[L, F], features: HashSet[Int], classifierFactory: () ⇒ Classifier[L, F], numFolds: Int, scoringMetric: (Iterable[(L, L)]) ⇒ Double): Double
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def
scoreGroup[L, F](group: String, featureGroups: Map[String, Set[Int]], chosenFeatures: HashSet[Int], dataset: Dataset[L, F], classifierFactory: () ⇒ Classifier[L, F], numFolds: Int, scoringMetric: (Iterable[(L, L)]) ⇒ Double): (String, Double)
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def
sortFeaturesByFrequency[L, F](dataset: Dataset[L, F]): Counter[Int]
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def
sortFeaturesByInformativeness[L, F](dataset: Dataset[L, F], minFreq: Int): Counter[Int]
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def
svmScaleBVFDataset[L, F](dataset: BVFDataset[L, F], lower: Double, upper: Double): ScaleRange[F]
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def
svmScaleDataset[L, F](dataset: Dataset[L, F], lower: Double = 1, upper: Double = 1): ScaleRange[F]
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def
svmScaleDatum[F](features: Counter[F], ranges: ScaleRange[F], lower: Double = 1, upper: Double = 1): Counter[F]
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def
svmScaleFeatureTraversable[F](dataset: FeatureTraversable[F, Double], lower: Double, upper: Double): ScaleRange[F]
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def
svmScaleRVFDataset[L, F](dataset: RVFDataset[L, F], lower: Double, upper: Double): ScaleRange[F]
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def
svmScaleRankingDataset[L, F](dataset: RankingDataset[F], lower: Double = 1, upper: Double = 1): ScaleRange[F]
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final
def
synchronized[T0](arg0: ⇒ T0): T0
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def
toString(): String
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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
Inherited from AnyRef
Inherited from Any