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[D] I want to optimize my model based on two constraints

Hello world;

I want to optimize my model based on two contraints. My goal is to find the W matrix that minimize this abs(W*x – Y). This can be done using gradient descent or some other models. In addition i want the model to be biased to some points of (x , y) based on a contraint that i will give. such as x*2 = y …. or something else, which is available just for some samples in the data.

Overall, i want that the model will be regularized by a second constraint that will keep it biased to some samples but not overfitted on under fitted on the other samples.

Which cost-function or optimization algorithm should i look for?

submitted by /u/kekkimo
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.