Charles Jekel

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I don't have a lot of intuition on how the polynomial roots are being used, and I'm still a bit confused here. Can you do some debugging steps, and show...

I just wanted to reach out and say I have not forgot about this. Getting this in is something that I think will improve this library! I have just been...

There is an undocumented hack you can do, where you can specify `.beta` and `.fit_breaks` after initialization. If follows equation 4 in the paper: ![image](https://user-images.githubusercontent.com/13884657/115095502-72bb4e80-9ed6-11eb-9237-237f2c02ba64.png) but this is only for...

I think there are two ways to approach this. 1. Add a penalty parameter to the objective function. See [1] for a reasonable penalty formulation. 2. Use a constrained optimization...

> The question is why betwenn first two breaks (the 2nd pic) I don't have any signal's points? Is it correct or I do it the wrong way? It's probably...

If you are curious as to why there is a pwlf breakpoint here: ![image](https://user-images.githubusercontent.com/13884657/164933872-1eec2a82-d9b9-48af-94a8-b1f1aa71b5e7.png) but without a slope change, it's because of how you calculate the first and last line...

Might need to use a different optimization algorithm for this. GA or EGO work well with integers, but this may actually not be faster optimizations. The advantage in your case...

The code in https://github.com/cjekel/piecewise_linear_fit_py/blob/expga/examples/compare_fitfast_and_ga.py is using the incorrect objective function. It should be ```my_pwlf.fit_with_breaks_opt``` in line 30. You could then use something like the following example to populate the ```my_pwlf```...

Okay. There are a couple ways to use your GA implementation. So the ```_opt``` objective function (and throughout my other code) I assume the first and last breakpoints at ```x.min()```...

Also, here is the documentation on the GA scheme: https://deap.readthedocs.io/en/master/api/algo.html#deap.algorithms.eaMuPlusLambda