better names

core/src/main/scala/com/salesforce/op/stages/impl/insights/RecordInsightsLOCO.scala

@@ -191,8 +191,7 @@ class RecordInsightsLOCO[T <: Model[T]]
  baseScore: Array[Double]
  ): Unit = {
  computeDiffs(featureVec, offset, baseScore).foreach { case (i, oldInd, diffToExamine) =>
- val history = histories(oldInd)
- history match {
+ histories(oldInd) match {
  // If indicator value and descriptor value of a derived text feature are empty, then it is likely
  // to be a hashing tf output. We aggregate such features for each (rawFeatureName).
  case h if h.indicatorValue.isEmpty && h.descriptorValue.isEmpty && textFeatureIndices.contains(oldInd) =>
@@ -217,14 +216,14 @@ class RecordInsightsLOCO[T <: Model[T]]
  featureVec: Either[SparseVector, Array[Int]],
  offset: Int, baseScore: Array[Double]
  ) = {
- val zdif = Array.fill(baseScore.length)(0.0)
+ val zeroDiff = Array.fill(baseScore.length)(0.0)
  featureVec match {
  case Left(sparse) => (0 until sparse.size, sparse.indices).zipped
  .map { case (i, oldInd) =>
  (i, oldInd, computeDiff(sparse.copy.updated(i, oldInd, 0.0), baseScore))
  }
- case Right(zeroeIndices) => (0 until zeroeIndices.length, zeroeIndices).zipped
- .map { case (i, oldInd) => (i + offset, oldInd, zdif) }
+ case Right(zeroIndices) => (0 until zeroIndices.length, zeroIndices).zipped
+ .map { case (i, oldInd) => (i + offset, oldInd, zeroDiff) }
  }
  }