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rapp17 OP t1_j1a9akp wrote

Reply to comment by blablanonymous in [P] Regression Model With Added Constraint by rapp17

I have a quantity of 100 units that need to be allocated across 50 days. The data set is comprised of hundreds of these scenarios X quantity allocated across 50 days. The quantity varies but number of days remain the same. What's the best way to get an ML model to do this.

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blablanonymous t1_j1aacs3 wrote

It sounds more like constrained optimization than ML but still too vague of an explanation for me to be helpful so I’m giving up. Good luck

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flapflip9 t1_j1dk0ke wrote

Sounds like you want to predict 50 values, given 150 inputs. ML might work, but I doubt you'd have enough data to avoid over fitting.

It also sounds like it's not like there's a single correct numerical answer for any given day, rather, you're trying to find a decent distribution. So look first into constrained optimizations first, similar to budget allocation or task distribution optimizations.

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