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srowen avatar srowen commented on July 28, 2024

I think you're right; this should really be aggregate? that is it needs to handle adding together the current sum of squares, and the square of a new value, differently from summing partial sums of squares?

    val sumSquares = dataAsArray.aggregate(
        new Array[Double](numCols)
      )(
        (a, b) => a.zip(b).map(t => t._1 + t._2 * t._2),
        (a, b) => a.zip(b).map(t => t._1 + t._2)
      )

from aas.

srowen avatar srowen commented on July 28, 2024

Resolved in source and filed as an erratum.

from aas.

dolaameng avatar dolaameng commented on July 28, 2024

Another way might be just using stats(), even though I think its a little bit slower. The book is a great work. Thanks!

from aas.

srowen avatar srowen commented on July 28, 2024

Fair enough, yes; I kind of wanted to show computing these things directly in an FP-oriented way.

from aas.

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