class ClassificationModel extends Model[SentenceDecisionInstance]
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Type Members
- type ExpectedCounts = StandardExpectedCounts[Feature]
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type
Inference = ClassificationInference
- Definition Classes
- ClassificationModel → Model
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type
Marginal = MLSentenceSegmenter.Marginal
- Definition Classes
- ClassificationModel → Model
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type
Scorer = ClassificationInference
- Definition Classes
- ClassificationModel → Model
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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def
accumulateCounts(inf: Inference, s: Scorer, d: SentenceDecisionInstance, m: Marginal, accum: ExpectedCounts, scale: Double): Unit
- Definition Classes
- ClassificationModel → Model
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final
def
accumulateCounts(inf: Inference, d: SentenceDecisionInstance, accum: ExpectedCounts, scale: Double): Unit
- Definition Classes
- Model
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final
def
asInstanceOf[T0]: T0
- Definition Classes
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def
cacheFeatureWeights(weights: DenseVector[Double], suffix: String = ""): Unit
Caches the weights using the cache broker.
Caches the weights using the cache broker.
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- Model
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def
clone(): AnyRef
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- @throws( ... )
- def emptyCounts: StandardExpectedCounts[Feature]
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final
def
eq(arg0: AnyRef): Boolean
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def
equals(arg0: Any): Boolean
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final
def
expectedCounts(inf: Inference, d: SentenceDecisionInstance, scale: Double = 1.0): ExpectedCounts
- Definition Classes
- Model
- def expectedCountsToObjective(ecounts: ExpectedCounts): (Double, DenseVector[Double])
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val
featureIndex: Index[Feature]
- Definition Classes
- ClassificationModel → Model
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def
finalize(): Unit
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final
def
getClass(): Class[_]
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def
hashCode(): Int
- Definition Classes
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def
inferenceFromWeights(weights: DenseVector[Double]): Inference
- Definition Classes
- ClassificationModel → Model
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def
initialValueForFeature(f: Feature): Double
- Definition Classes
- ClassificationModel → Model
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final
def
isInstanceOf[T0]: Boolean
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def
logger: LazyLogger
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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
- Definition Classes
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def
numFeatures: Int
- Definition Classes
- Model
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def
readCachedFeatureWeights(suffix: String = ""): Option[DenseVector[Double]]
just saves feature weights to disk as a serialized counter.
just saves feature weights to disk as a serialized counter. The file is prefix.ser.gz
- Definition Classes
- Model
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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
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def
weightsCacheName: String
- Attributes
- protected
- Definition Classes
- Model