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
Logarithmically scaled steps in Create Learning Curve
Currently "Create Learning Curve" operator supports only linear steps. But commonly we are more interested into details at the lower count of samples than at the higher count. Also calculations are fast with low sample count. Hence wouldn't it be nice if "Create Learning Curve" operator supported logarithmically scaled steps?
PS: I know I can get the logarithmic scale with "Loop Parameters" supplemented with other operators. But what do I like on "Create Learning Curve" is that it is hard to use it wrongly.
PS: I know I can get the logarithmic scale with "Loop Parameters" supplemented with other operators. But what do I like on "Create Learning Curve" is that it is hard to use it wrongly.
0
Answers
you are completly right regarding that operator. Personally i need to say i don't use it regulary. Usually i use Optimize Paramters, Log and a sample operator. That way i can also create different learning curves at a time by changing parameters of the learner etc.
Might be worth a building block.
Cheers,
Martin
Dortmund, Germany