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This might be something @logan-pearce is interested in working on. In particular, I think we should implement the following:
- use a scipy optimization routine to estimate the minimum chi square for …
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Welcome to 'DSWP' Team, good to see you here
This issue will helps readers in gaining all the guidance that one needs to know about Ordinary Least Squares. Tutorial to Ordinary Least Squares and ho…
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https://github.com/PlasmaControl/DESC/blob/95612fa625bd5ba939569004c767ed02594586f0/desc/optimize/least_squares.py#L347
I am pretty sure this can be moves to the outer loop without issue
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I wonder if there is any plan of including CCA and PLS in statsmodels. sklearn have a CCA implementation but didn't report tests results. I'd like to give CCA a try if this could be of interest to sta…
yl565 updated
6 years ago
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Is there any particular reason why there is no capability for linear recursive least squares (RLS) in scipy? It is an absolute standard signal processing / data analysis algorithm, and I was somewhat …
e-pet updated
4 years ago
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I'm sure this would be very hard to implement, but imagine an option that you could turn on in this program so that you go through the least amount of rain possible from class A to B. One way you coul…
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In https://github.com/GeostatsGuy/DataScience_Interactive_Python/blob/main/Interactive_Model_Fitting.ipynb
the bullets (near the top) for "Ordinary Least Squares Fitting" and "Maximum Likelihood Fitt…
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### Is your feature request related to a problem? Please describe.
Over the past weeks I've been doing some tests on estimating the "last saved" quality level of JPEG images. This revealed several …
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I am setting max_nfev to 1 in the least_squares method, so that I can debug something downstream of that method call. I expect my objective function to be called only once, but the optimization proces…
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After implementing #715, and adding some additional support to view the preference snapshot as a single vector, we can reimplement the least-squares baseline using a least-squares solver from Commons …