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Normalization between two different data sets
Ive understood the 'Normalize" operator is to normalize " within " the attributes of a particular data set.
However, I have a case :
Ive trained and tested the classification model with a particular data set (A)
while deploying with new fresh data set (B) - the attributes are given not in same scale as the above data set (A) .
eg: attribute 'X' in data set 'A' is in scale : 0 to 100
attribute 'X' in data set 'B' is in scale: 0 to 350
My qn. is:
Does rapid miner have any operator to normalize 'Between' the two different data sets? or do we have to do manually before feed in.
Kindly let me know. thanks.