mbda p: (math.isnan(p[0]) == False))
> > metrics = RegressionMetrics(predobs)
> > mycount = predobs.count()
> > myr2 = metrics.r2
> > myvar = metrics.explainedVariance
> > print "hooo",rank, " r2 = ",myr2, "
= RegressionMetrics(predobs)
> mycount = predobs.count()
> myr2 = metrics.r2
> myvar = metrics.explainedVariance
> print "hooo",rank, " r2 = ",myr2, "explained var = ", myvar, "count
> = ",mycount
>
>
>
ics.r2
myvar = metrics.explainedVariance
print "hooo",rank, " r2 = ",myr2, "explained var = ", myvar, "count
= ",mycount
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