class
ParallelOnlineTrainer extends Trainer with FastLogging
Instance Constructors
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new
ParallelOnlineTrainer(weightsSet: WeightsSet, optimizer: GradientOptimizer, maxIterations: Int = 3, logEveryN: Int = -1, nThreads: Int = ...)
Value Members
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final
def
!=(arg0: AnyRef): Boolean
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final
def
!=(arg0: Any): Boolean
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final
def
##(): Int
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final
def
==(arg0: AnyRef): Boolean
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final
def
==(arg0: Any): Boolean
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var
accumulatedValue: Double
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final
def
asInstanceOf[T0]: T0
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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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var
examplesProcessed: 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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var
initialized: Boolean
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def
isConverged: Boolean
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final
def
isInstanceOf[T0]: Boolean
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var
iteration: Int
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var
logEveryN: Int
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val
maxIterations: Int
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val
nThreads: 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
processExamples(examples: Iterable[Example]): Unit
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def
removeLocks(): Unit
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def
replaceTensorsWithLocks(): Unit
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final
def
synchronized[T0](arg0: ⇒ T0): T0
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var
t0: Long
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def
toString(): String
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def
trainFromExamples(examples: Iterable[Example]): Unit
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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
