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We are using a curve fitting model being built out in Python to best fit match any single item against: 1) an averaged group of items, and 2) other single items. Each item has a series of 26 parameters to compare items or groups of items to each other.
What we need is someone to create a program to optimize our curve fitting system. You can utilize the 26 parameters, all currently weighted at "1", as part of the optimization, along with adjusting the slope and intercept. Of course with your being the expert, you may well have more and better ideas for the optimization.
Attached is a PDF with more details.
Thanks for your consideration.
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