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io.radanalytics.silex.feature.extractor.spark

implicits

Related Doc: package spark

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object implicits

Implicit conversions from Spark vectors to FeatureSeq, and vice versa.

import io.radanalytics.silex.feature.extractor.{ FeatureSeq, Extractor }
import io.radanalytics.silex.feature.extractor.spark
import io.radanalytics.silex.feature.extractor.spark.implicits._
import org.apache.spark.mllib.linalg.DenseVector
import org.apache.spark.mllib.regression.LabeledPoint

val sv = new DenseVector(Array(1.0, 2.0))
val featureSeq = FeatureSeq(sv)
val sv2 = featureSeq.toSpark

val label = 1.0
val lp = new LabeledPoint(label, sv)
val fs2 = FeatureSeq(lp)
val lp2 = fs2.toLabeledPoint(label)
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  1. implicit class enrichSparkFS extends Serializable

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    Provides toSpark and toLabeledPoint enriched methods on FeatureSeq

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  9. implicit def fromLPtoSparkFS(p: LabeledPoint): SparkFS

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    Convert Spark LabeledPoint objects to FeatureSeq

  10. implicit def fromSVtoSparkFS(v: Vector): FeatureSeq

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    Convert Spark vectors to FeatureSeq

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