Learner

Value Members

1. final def !=(arg0: Any): Boolean

   

   Definition Classes

   AnyRef → Any

2. final def ##(): Int

   

   Definition Classes

   AnyRef → Any

3. final def ==(arg0: Any): Boolean

   

   Definition Classes

   AnyRef → Any

4. final def asInstanceOf[T0]: T0

   

   Definition Classes

   Any

5. def clone(): AnyRef

   

   Attributes

   protected[java.lang]

   Definition Classes

   AnyRef

   Annotations

   @throws( ... )

6. final def eq(arg0: AnyRef): Boolean

   

   Definition Classes

   AnyRef

7. def equals(arg0: Any): Boolean

   

   Definition Classes

   AnyRef → Any

8. def finalize(): Unit

   

   Attributes

   protected[java.lang]

   Definition Classes

   AnyRef

   Annotations

   @throws( classOf[java.lang.Throwable] )

9. final def getClass(): Class[_]

   

   Definition Classes

   AnyRef → Any

10. def hashCode(): Int

    

    Definition Classes

    AnyRef → Any

11. final def isInstanceOf[T0]: Boolean

    

    Definition Classes

    Any

12. final def ne(arg0: AnyRef): Boolean

    

    Definition Classes

    AnyRef

13. final def notify(): Unit

    

    Definition Classes

    AnyRef

14. final def notifyAll(): Unit

    

    Definition Classes

    AnyRef

15. def run(vec: Glove, saveModelTo: String): Glove

    

    Train Glove and save it

    Train Glove and save it

    vec

    Glove

    returns

    fitted Glove

16. def run(vec: Word2Vec, trainData: SentenceIterator, saveModelTo: String): Word2Vec

    

    Train Word2Vec and save it

    Train Word2Vec and save it

    vec

    Word2Vec

    trainData

    training data

    returns

    fitted Word2Vec

17. def run(vec: Word2Vec, trainData: SentenceIterator): Word2Vec

    

    Train Word2Vec modesl

    Train Word2Vec modesl

    vec

    Word2Vec

    trainData

    training data

    returns

    fitted Word2Vec

18. def run(net: MultiLayerNetwork, trainData: DataSet): MultiLayerNetwork

    
    net

    multilayer network

    trainData

    training data

19. def run(net: MultiLayerNetwork, trainData: DataSet, epochs: Int): MultiLayerNetwork

    
    net

    multilayer network

    trainData

    training data

    epochs

    training epochs

20. def run(net: MultiLayerNetwork, features: INDArray, labels: INDArray, useUI: Boolean, listenFreq: Int, storagePath: Option[String]): MultiLayerNetwork

    

    Fitting with UI Monitoring

    Fitting with UI Monitoring

    net

    multilayer network

    features

    training data features

    labels

    training data labels

    useUI

    whether to use UI, default=false

    listenFreq

    listener frequency, default=1

    storagePath

    storage path to save the stats, default=None (in memory)

21. def run(net: MultiLayerNetwork, features: INDArray, labels: INDArray, useUI: Boolean, listenFreq: Int): MultiLayerNetwork

    

    Fitting with UI Monitoring

    Fitting with UI Monitoring

    net

    multilayer network

    features

    training data features

    labels

    training data labels

    useUI

    whether to use UI, default=false

    listenFreq

    listener frequency, default=1

22. def run(net: MultiLayerNetwork, features: INDArray, labels: INDArray, featureMasks: Option[INDArray], labelMasks: Option[INDArray], useUI: Boolean, listenFreq: Int, epochs: Int): MultiLayerNetwork

    

    Fitting with UI Monitoring

    Fitting with UI Monitoring

    net

    multilayer network

    features

    training data features

    labels

    training data labels

    featureMasks

    feature masks,

    labelMasks

    label masks,

    useUI

    whether to use UI, default=false

    listenFreq

    listener frequency, default=1

23. def run(net: MultiLayerNetwork, features: INDArray, labels: INDArray, useUI: Boolean, listenFreq: Int, epochs: Int): MultiLayerNetwork

    

    Fitting with UI Monitoring

    Fitting with UI Monitoring

    net

    multilayer network

    features

    training data features

    labels

    training data labels

    useUI

    whether to use UI, default=false

    listenFreq

    listener frequency, default=1

24. def run(net: ComputationGraph, trainData: DataSetIterator, useUI: Boolean, listenFreq: Int): ComputationGraph

    

25. def run(net: ComputationGraph, trainData: DataSetIterator, storagePath: Option[String], useUI: Boolean, listenFreq: Int, epochs: Int): ComputationGraph

    

    Fitting with UI Monitoring

    Fitting with UI Monitoring

    net

    multilayer network

    trainData

    training data

    storagePath

    storage path to save the stats, default=None (in memory)

    useUI

    whether to use UI, default=false

    listenFreq

    listener frequency, default=1

    epochs

    epochs, default=1

26. def run(net: MultiLayerNetwork, trainData: DataSetIterator, storagePath: Option[String] = None, useUI: Boolean = false, listenFreq: Int = 1, epochs: Int = 1): MultiLayerNetwork

    

    Fitting with UI Monitoring

    Fitting with UI Monitoring

    net

    multilayer network

    trainData

    training data

    storagePath

    storage path to save the stats, default=None (in memory)

    useUI

    whether to use UI, default=false

    listenFreq

    listener frequency, default=1

    epochs

    epochs, default=1

27. def runWithTest(net: MultiLayerNetwork, trainData: DataSetIterator, storagePath: Option[String] = None, useUI: Boolean = false, listenFreq: Int = 1, testData: Option[DataSetIterator] = None, testFreq: Int = 1, epochs: Int = 1): MultiLayerNetwork

    

    Fitting with UI Monitoring

    Fitting with UI Monitoring

    net

    multilayer network

    trainData

    training data

    storagePath

    storage path to save the stats, default=None (in memory)

    useUI

    whether to use UI, default=false

    listenFreq

    listener frequency, default=1

    testData

    Some(test data), default=None

    testFreq

    test frequency (related to epochs), default=1 (every epoch)

    epochs

    training epochs, default=1

28. def runWithTestCG(net: ComputationGraph, trainData: DataSetIterator, storagePath: Option[String] = None, useUI: Boolean = false, listenFreq: Int = 1, testData: Option[DataSetIterator] = None, testFreq: Int = 1, epochs: Int = 1): ComputationGraph

    

    Fitting with UI Monitoring

    Fitting with UI Monitoring

    net

    computation graph

    trainData

    training data

    storagePath

    storage path to save the stats, default=None (in memory)

    useUI

    whether to use UI, default=false

    listenFreq

    listener frequency, default=1

    testData

    Some(test data), default=None

    testFreq

    test frequency (related to epochs), default=1 (every epoch)

    epochs

    training epochs, default=1

29. def runWithTestCGMD(net: ComputationGraph, trainData: MultiDataSetIterator, storagePath: Option[String] = None, useUI: Boolean = false, listenFreq: Int = 1, testData: Option[MultiDataSetIterator] = None, testFreq: Int = 1, epochs: Int = 1, evalType: String = "default"): ComputationGraph

    

    Fitting with UI Monitoring

    Fitting with UI Monitoring

    net

    computation graph

    trainData

    training data

    storagePath

    storage path to save the stats, default=None (in memory)

    useUI

    whether to use UI, default=false

    listenFreq

    listener frequency, default=1

    testData

    Some(test data), default=None

    testFreq

    test frequency (related to epochs), default=1 (every epoch)

    epochs

    training epochs, default=1

30. def runWithTestCGMDEval(net: ComputationGraph, trainData: MultiDataSetIterator, storagePath: Option[String] = None, useUI: Boolean = false, listenFreq: Int = 1, testData: Option[MultiDataSetIterator] = None, testFreq: Int = 1, epochs: Int = 1, evalTypes: Map[Int, Array[String]], nCMap: Map[Int, Int]): ComputationGraph

    

31. final def synchronized[T0](arg0: ⇒ T0): T0

    

    Definition Classes

    AnyRef

32. def toString(): String

    

    Definition Classes

    AnyRef → Any

33. final def wait(): Unit

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

34. final def wait(arg0: Long, arg1: Int): Unit

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

35. final def wait(arg0: Long): Unit

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )