breeze.classify.LogisticClassifier

Trainer

class Trainer[L, TF] extends Classifier.Trainer[L, TF]

TF

feature vectors, which are the input vectors to the classifer

returns

a LinearClassifier based on the fitted model

Linear Supertypes
Classifier.Trainer[L, TF], AnyRef, Any
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Instance Constructors

  1. new Trainer(opt: OptParams = ...)(implicit arith: MutableCoordinateSpace[TF, Double], man: ClassTag[TF])

Type Members

  1. type MyClassifier = LinearClassifier[L, UnindexedLFMatrix[L, TF], Counter[L, Double], TF]

    Definition Classes
    Trainer → Trainer

  2. class ObjectiveFunction extends BatchDiffFunction[LFMatrix[L, TF]]

    Attributes
    protected

Value Members

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

    Definition Classes
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  2. final def !=(arg0: Any): Boolean

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  3. final def ##(): Int

    Definition Classes
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  4. final def ==(arg0: AnyRef): Boolean

    Definition Classes
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  5. final def ==(arg0: Any): Boolean

    Definition Classes
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  6. final def asInstanceOf[T0]: T0

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  7. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
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    @throws()

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

    Definition Classes
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  9. def equals(arg0: Any): Boolean

    Definition Classes
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  10. def finalize(): Unit

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

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  12. def hashCode(): Int

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  13. final def isInstanceOf[T0]: Boolean

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

    Definition Classes
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  15. final def notify(): Unit

    Definition Classes
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  16. final def notifyAll(): Unit

    Definition Classes
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  17. def objective(data: IndexedSeq[Example[L, TF]], labelIndex: Index[L]): ObjectiveFunction

    Attributes
    protected

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

    Definition Classes
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  19. def toString(): String

    Definition Classes
    AnyRef → Any

  20. def train(data: Iterable[Example[L, TF]]): LinearClassifier[L, UnindexedLFMatrix[L, TF], Counter[L, Double], TF]

    Definition Classes
    Trainer → Trainer

  21. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws()

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

    Definition Classes
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    @throws()

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

    Definition Classes
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Inherited from Classifier.Trainer[L, TF]

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