Multiple Equality Constraints #81
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enhancement
New feature or request
fixready
Fix has landed on master.
question
Further information is requested
Hello,
Ive been trying out Ax and I really Like it. I was trying to create a three stage regression model and have Ax infer the weights to be assigned to each regressor. I am not able to create a constraint that uses three parameters and have them be equal to 0.
I have used the following code:
Lets say I wanted to have more than two parameters itnteract with each other such as having three weights and three models. I know that there are other ways to do what I am specifically doing but I am trying to get an understanding of tuning with Ax.
Will the following be possible as a constraint: w1 + w2 + w3 == 1.0. Will this be possible using ax anytime soon? Is there a limiation to bayesian optimization that will not allow this functionality?
When I do try to do something like this I get the following error:
I am using Python 3.7 on Ubuntu in an anaconda enviornment.
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