trait Model[D] extends framework.Model[D]
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- type ExpectedCounts = StandardExpectedCounts[Feature]
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abstract
type
Inference <: framework.Inference[D] { ... /* 2 definitions in type refinement */ }
- Definition Classes
- Model
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abstract
type
Marginal <: framework.Marginal
- Definition Classes
- Model
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abstract
type
Scorer
- Definition Classes
- Model
Abstract Value Members
-
abstract
def
accumulateCounts(inf: Inference, s: Scorer, d: D, m: Marginal, accum: ExpectedCounts, scale: Double): Unit
- Definition Classes
- Model
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abstract
def
featureIndex: Index[Feature]
Models have features, and this defines the mapping from indices in the weight vector to features.
Models have features, and this defines the mapping from indices in the weight vector to features.
- Definition Classes
- Model
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abstract
def
inferenceFromWeights(weights: DenseVector[Double]): Inference
- Definition Classes
- Model
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abstract
def
initialValueForFeature(f: Feature): Double
- Definition Classes
- Model
Concrete Value Members
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final
def
!=(arg0: Any): Boolean
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final
def
##(): Int
- Definition Classes
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final
def
==(arg0: Any): Boolean
- Definition Classes
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final
def
accumulateCounts(inf: Inference, d: D, accum: ExpectedCounts, scale: Double): Unit
- Definition Classes
- Model
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final
def
asInstanceOf[T0]: T0
- Definition Classes
- Any
-
def
cacheFeatureWeights(weights: DenseVector[Double], suffix: String = ""): Unit
Caches the weights using the cache broker.
Caches the weights using the cache broker.
- Definition Classes
- Model
-
def
clone(): AnyRef
- Attributes
- protected[java.lang]
- Definition Classes
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- @throws( ... )
- def emptyCounts: StandardExpectedCounts[Feature]
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final
def
eq(arg0: AnyRef): Boolean
- Definition Classes
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def
equals(arg0: Any): Boolean
- Definition Classes
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final
def
expectedCounts(inf: Inference, d: D, scale: Double = 1.0): ExpectedCounts
- Definition Classes
- Model
- def expectedCountsToObjective(ecounts: ExpectedCounts): (Double, DenseVector[Double])
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def
finalize(): Unit
- Attributes
- protected[java.lang]
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final
def
getClass(): Class[_]
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def
hashCode(): Int
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final
def
isInstanceOf[T0]: Boolean
- Definition Classes
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def
logger: LazyLogger
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final
def
ne(arg0: AnyRef): Boolean
- Definition Classes
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final
def
notify(): Unit
- Definition Classes
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final
def
notifyAll(): Unit
- Definition Classes
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def
numFeatures: Int
- Definition Classes
- Model
-
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
- Definition Classes
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def
toString(): String
- Definition Classes
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final
def
wait(): Unit
- Definition Classes
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final
def
wait(arg0: Long, arg1: Int): Unit
- Definition Classes
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final
def
wait(arg0: Long): Unit
- Definition Classes
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- @throws( ... )
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def
weightsCacheName: String
- Attributes
- protected
- Definition Classes
- Model