SIFTExtractorInterface

abstract def apply(in: Image): DenseMatrix[Float]

Apply this Transformer to a single input item

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 andThen[C, L](est: LabelEstimator[DenseMatrix[Float], C, L], data: RDD[Image], labels: RDD[L]): PipelineWithFittedTransformer[Image, DenseMatrix[Float], C]

final def andThen[C](est: Estimator[DenseMatrix[Float], C], data: RDD[Image]): PipelineWithFittedTransformer[Image, DenseMatrix[Float], C]

final def andThen[C](next: Pipeline[DenseMatrix[Float], C]): Pipeline[Image, C]

Chains a pipeline onto the end of this one, producing a new pipeline.

def apply(in: RDD[Image]): RDD[DenseMatrix[Float]]

Apply this Transformer to an RDD of input items

final def asInstanceOf[T0]: T0

def clone(): AnyRef

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def finalize(): Unit

final def getClass(): Class[_]

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

def label: String

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

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

final def toDOTString: String

def toString(): String

final def wait(): Unit

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

final def wait(arg0: Long): Unit