Github user techaddict commented on the pull request:
https://github.com/apache/spark/pull/597#issuecomment-42277501
@mengxr i'm bit confused.
```
val ratings = sc.textFile(input).map { line =>
val ratings = sc.textFile(params.input).map { line =>
val fields = line.split("::")
if (params.implicitPrefs) {
Rating(fields(0).toInt, fields(1).toInt, fields(2).toDouble - 2.5)
} else {
Rating(fields(0).toInt, fields(1).toInt, fields(2).toDouble)
}
}.cache()
```
```
val test = splits(1)
.map(x => Rating(x.user, x.product, if(x.rating>=0)1.0 else 0.0))
.cache()
```
```scala
def computeRmse(model: MatrixFactorizationModel, data: RDD[Rating], n:
Long) = {
val predictions: RDD[Rating] = model.predict(data.map(x => (x.user,
x.product)))
val predictionsAndRatings = predictions.map(x => ((x.user, x.product),
(x.rating + 2.5) / 5.0))
.join(data.map(x => ((x.user, x.product), x.rating)))
.values
math.sqrt(predictionsAndRatings.map(x => (x._1 - x._2) * (x._1 -
x._2)).mean())
}
```
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