GaussianKernelGenerator

Instance Constructors

new GaussianKernelGenerator(gamma: Double, cacheKernel: Boolean = false)

Value Members

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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final def asInstanceOf[T0]: T0

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def clone(): AnyRef

Attributes
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final def eq(arg0: AnyRef): Boolean

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def equals(arg0: Any): Boolean

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def finalize(): Unit

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def fit(trainData: RDD[DenseVector[Double]]): GaussianKernelTransformer

Create a kernel transformer using the given dataset as one of the arguments to the kernel function.
Create a kernel transformer using the given dataset as one of the arguments to the kernel function. That is, if the kernel function is \phi(x, y), this binds one of the arguments using the given data.
trainData
training data matrix to be used for kernel transformation
returns
a kernel transformer that can be applied to train or test data

Definition Classes
GaussianKernelGenerator → KernelGenerator
final def getClass(): Class[_]

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def hashCode(): Int

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final def isInstanceOf[T0]: Boolean

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def log: Logger

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def logDebug(msg: ⇒ String, throwable: Throwable): Unit

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def logDebug(msg: ⇒ String): Unit

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def logError(msg: ⇒ String, throwable: Throwable): Unit

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def logError(msg: ⇒ String): Unit

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def logInfo(msg: ⇒ String, throwable: Throwable): Unit

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def logInfo(msg: ⇒ String): Unit

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def logTrace(msg: ⇒ String, throwable: Throwable): Unit

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def logTrace(msg: ⇒ String): Unit

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def logWarning(msg: ⇒ String, throwable: Throwable): Unit

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def logWarning(msg: ⇒ String): Unit

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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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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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class GaussianKernelGenerator extends KernelGenerator[DenseVector[Double]] with Serializable with Logging

Instance Constructors

new GaussianKernelGenerator(gamma: Double, cacheKernel: Boolean = false)

Value Members

final def !=(arg0: AnyRef): Boolean

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: AnyRef): Boolean

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

def clone(): AnyRef

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def finalize(): Unit

def fit(trainData: RDD[DenseVector[Double]]): GaussianKernelTransformer

final def getClass(): Class[_]

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

def log: Logger

def logDebug(msg: ⇒ String, throwable: Throwable): Unit

def logDebug(msg: ⇒ String): Unit

def logError(msg: ⇒ String, throwable: Throwable): Unit

def logError(msg: ⇒ String): Unit

def logInfo(msg: ⇒ String, throwable: Throwable): Unit

def logInfo(msg: ⇒ String): Unit

def logTrace(msg: ⇒ String, throwable: Throwable): Unit

def logTrace(msg: ⇒ String): Unit

def logWarning(msg: ⇒ String, throwable: Throwable): Unit

def logWarning(msg: ⇒ String): Unit

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

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

def toString(): String

final def wait(): Unit

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

final def wait(arg0: Long): Unit

Inherited from Logging

Inherited from Serializable

Inherited from Serializable

Inherited from KernelGenerator[DenseVector[Double]]

Inherited from AnyRef

Inherited from Any

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