case class SampleCovarianceKernel[D](ts: IndexedSeq[Transformation[D]], cacheSizeHint: Int = 100000)(implicit evidence$1: NDSpace[D]) extends MatrixValuedPDKernel[D] with Product with Serializable
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- SampleCovarianceKernel
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Instance Constructors
- new SampleCovarianceKernel(ts: IndexedSeq[Transformation[D]], cacheSizeHint: Int = 100000)(implicit arg0: NDSpace[D])
Value Members
- final def !=(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
- final def ##(): Int
- Definition Classes
- AnyRef → Any
- def *(s: Double): MatrixValuedPDKernel[D]
- Definition Classes
- MatrixValuedPDKernel
- def *(that: MatrixValuedPDKernel[D]): MatrixValuedPDKernel[D]
- Definition Classes
- MatrixValuedPDKernel
- def +(that: MatrixValuedPDKernel[D]): MatrixValuedPDKernel[D]
- Definition Classes
- MatrixValuedPDKernel
- final def ==(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
- def apply(x: Point[D], y: Point[D]): DenseMatrix[Double]
- Definition Classes
- MatrixValuedPDKernel
- final def asInstanceOf[T0]: T0
- Definition Classes
- Any
- val cacheSizeHint: Int
- def clone(): AnyRef
- Attributes
- protected[lang]
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.CloneNotSupportedException]) @native()
- def compose(phi: (Point[D]) => Point[D]): MatrixValuedPDKernel[D]
- Definition Classes
- MatrixValuedPDKernel
- def discretize(domain: DiscreteDomain[D]): DiscreteMatrixValuedPDKernel[D]
discretize the kernel at the given points
discretize the kernel at the given points
- Definition Classes
- MatrixValuedPDKernel
- val domain: Domain[D]
- Definition Classes
- SampleCovarianceKernel → MatrixValuedPDKernel
- final def eq(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
- def finalize(): Unit
- Attributes
- protected[lang]
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.Throwable])
- final def getClass(): Class[_ <: AnyRef]
- Definition Classes
- AnyRef → Any
- Annotations
- @native()
- final def isInstanceOf[T0]: Boolean
- Definition Classes
- Any
- def k(x: Point[D], y: Point[D]): DenseMatrix[Double]
- Definition Classes
- SampleCovarianceKernel → MatrixValuedPDKernel
- def mu(x: Point[D]): DenseVector[Double]
- final def ne(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
- final def notify(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native()
- final def notifyAll(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native()
- val outputDim: Int
- Definition Classes
- SampleCovarianceKernel → MatrixValuedPDKernel
- def productElementNames: Iterator[String]
- Definition Classes
- Product
- final def synchronized[T0](arg0: => T0): T0
- Definition Classes
- AnyRef
- val ts: IndexedSeq[Transformation[D]]
- final def wait(): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.InterruptedException])
- final def wait(arg0: Long, arg1: Int): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.InterruptedException])
- final def wait(arg0: Long): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.InterruptedException]) @native()