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@@ -292,3 +292,4 @@ pd.DataFrame, Results dataframe, giving complexity, MSE, and equations
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  - Current most expensive operations:
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  - [ ] Calculating the loss function - there is duplicate calculations happening.
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  - [x] Declaration of the weights array every iteration
 
 
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  - Current most expensive operations:
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  - [ ] Calculating the loss function - there is duplicate calculations happening.
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  - [x] Declaration of the weights array every iteration
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+ - [ ] Idea: use gradient of equation with respect to each operator (perhaps simply add to each operator) to tell which part is the most "sensitive" to changes. Then, perhaps insert/delete/mutate on that part of the tree?