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Original file line number Diff line number Diff line change
Expand Up @@ -38,7 +38,7 @@ private[sql] object StatFunctions extends Logging {
var yAvg = 0.0 // the mean of all examples seen so far in col2
var Ck = 0.0 // the co-moment after k examples
var MkX = 0.0 // sum of squares of differences from the (current) mean for col1
var MkY = 0.0 // sum of squares of differences from the (current) mean for col1
var MkY = 0.0 // sum of squares of differences from the (current) mean for col2
var count = 0L // count of observed examples
// add an example to the calculation
def add(x: Double, y: Double): this.type = {
Expand All @@ -55,15 +55,17 @@ private[sql] object StatFunctions extends Logging {
// merge counters from other partitions. Formula can be found at:
// http://en.wikipedia.org/wiki/Algorithms_for_calculating_variance
def merge(other: CovarianceCounter): this.type = {
val totalCount = count + other.count
val deltaX = xAvg - other.xAvg
val deltaY = yAvg - other.yAvg
Ck += other.Ck + deltaX * deltaY * count / totalCount * other.count
xAvg = (xAvg * count + other.xAvg * other.count) / totalCount
yAvg = (yAvg * count + other.yAvg * other.count) / totalCount
MkX += other.MkX + deltaX * deltaX * count / totalCount * other.count
MkY += other.MkY + deltaY * deltaY * count / totalCount * other.count
count = totalCount
if (other.count > 0) {
val totalCount = count + other.count
val deltaX = xAvg - other.xAvg
val deltaY = yAvg - other.yAvg
Ck += other.Ck + deltaX * deltaY * count / totalCount * other.count
xAvg = (xAvg * count + other.xAvg * other.count) / totalCount
yAvg = (yAvg * count + other.yAvg * other.count) / totalCount
MkX += other.MkX + deltaX * deltaX * count / totalCount * other.count
MkY += other.MkY + deltaY * deltaY * count / totalCount * other.count
count = totalCount
}
this
}
// return the sample covariance for the observed examples
Expand Down