Define statistics such as percentiles, mean etc that expect integer arrays as arguments is what I wish, but the return type is decided by the method, for method min(int[]) and max(int[]), the return type must be integer; for method mean, the return type may be double. If not I need to convert int[] to double[] every time, this would cost a lot memory. Due to the data is very large, JVM would call GC to free the memory many times in a thread, it's a big cost. The only way I can fix this performance problem is to implement my method based on commons-math's algorithm that can accept integer arrays.
2013/10/18 Phil Steitz <phil.ste...@gmail.com> > On 10/16/13 6:36 PM, 杨栓 wrote: > > Hi, > > > > I always need to compute min value, max value, percentile values of > > millions data, these data may are int, long or double. But class > StatUtils only > > supports double[], I need to convert int[], long[] to double[]. Shall we > > add a feature that StatUtils supports any other numeric type? > > > It would be trivial to just add overloaded versions of the methods > that do the conversion for you. Is that what you mean? They would > still return doubles as results. Is that what you mean? Or do you > mean defining statistics such as percentiles, mean, etc. that expect > integer arrays as arguments and return results coerced to integer > values? If the latter, what exactly is the use case - i.e., what is > the practical need for this? > > Phil > > --------------------------------------------------------------------- > To unsubscribe, e-mail: dev-unsubscr...@commons.apache.org > For additional commands, e-mail: dev-h...@commons.apache.org > >
