# Holt Winter - how to use damped trends , boxcox tranfration and bias adjustments

question 1.

I am exploring Holt winter forecast model in one of our use case, would like to use the hyper parameters for

1) damped trends , 2)boxcox transformation and 3)bias adjustments

how to set these parameter in Rapidminer process?.

question 2.

Also I have used a python script to optimize the parameters for Holt Winters, and the result of optimized parameters are

Trend Damped Seasonal Seasonal Period Box Cox Remove bias Additive TRUE Additive 12 FALSE TRUE

How these parameters are equivalently mapped in Rapidminer Holt winter process with parameters alpha ,beta , gamma and length of period & seasonal model

Kindly advise.

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## Answers

9Learner IFor easy readability , I have re-framed the second question as given below :

297RM Researchalpha= smoothing_level (python, model.fit)beta= smoothing_slope (python, model.fit)gamma= smoothing_seasonal (python, model.fit)Best,

David