The Altair Community is migrating to a new platform to provide a better experience for you. In preparation for the migration, the Altair Community is on read-only mode from October 28 - November 6, 2024. Technical support via cases will continue to work as is. For any urgent requests from Students/Faculty members, please submit the form linked here

create a Logistic Regression with restrictions

HeadtrouserHeadtrouser Member Posts: 2 Learner I
edited September 2021 in Help
Hi

I want/need to build a Log. Regression Model with additional restrictions for my Bachelor Thesis.
in my case:
( value of Attribute - avarage of this atribute) * Confidence(1)  / 1000  <= x (extern Variable) &&
( value of Attribute - avarage of this atribute) * Confidence(1)  / 1000 >= -x

in Words: Get best Regression Model with best Accuracy but only inside upper and lower bounce.
the Value und avarage of this attribute is Fix and x is extern variable to select the range. So the model need to find coefficients under this restrictions.

Trying now since 2 1/2 days to build it with RM Operators but without succes. So i hope i can get help here =)
thank you
Sign In or Register to comment.