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[Research] Regression problems where the input shape may change.
Jan. 18, 2022, 4:11 a.m. | /u/Slowbutstrong
Machine Learning www.reddit.com
Specifically I'm working on an applied ML problem where I need to create a surrogate model for optimization of just one feature. Imagine my input data is a 2D physical plane with a vector field superimposed. If the vector field is highly divergent then I get a big output number, Omega. I care more that my predicted Omega has a high R Squared value than absolute error. Now I've been able to get a CNN to work for a simple …
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