I would like to know if there is an easy way to Transform Data to Better Fit The Normal Distribution.
A Box Cox transformation node or something like that.
I set a of data multiple columns and with different patterns and I need to transform everything into a normal shape.
You could try Z-scale normalization (Gaussian) with the Normalizer node:
Linear transformation such that the values in each column are Gaussian-(0,1)-distributed, i.e. mean is 0.0 and standard deviation is 1.0.
Hi @AR7 and welcome back to the forum
We have a feature request open to add Box-Cox functionality and power transformation in general. I will add a +1 on that request from you (AP-13756).
In the meantime you could, for example, use an R Snippet with a few lines of code to quickly determine and apply Box-Cox.
Hi I found this on Stack Overflow
r boX-cOX.knwf (111.3 KB)
This topic was automatically closed 182 days after the last reply. New replies are no longer allowed.