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Hi Subutai,
I was just watching your discussion in the Jan 2015 office hour regarding this experiment. Very cool stuff, seems a sensible step forward to me. A question comes to mind though, I'd like …
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I'm running into some trouble applying `optimistix.least_squares(fn, LevenbergMarquardt(...), x0)` to certain problems. From the error message below, my understanding of the root cause is that forward…
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### What program did you run?
```
#lang racket
(require data-frame)
(define df
(let* ((df (make-data-frame))
(xs (make-series "x" #:data '#(0 1)))
(ys (make-series "y"…
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The spectral vector denoising algorithm is described in
- Rebecca C. Harman, Ryan T. Lang, Eric M. Kercher, Paige Leven, and Bryan Q. Spring. **Denoising multiplexed microscopy images in n-dimensio…
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How to apply StatsModels for partial least squares regression?
There is PLSRegression in sklearn, but some statistical results are missing, compared to StatsModels.GLM
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## 🚀 Feature
non-negative least squares solver.
## Motivation
Scipy has [nnls](https://docs.scipy.org/doc/scipy/reference/generated/scipy.optimize.nnls.html#scipy.optimize.nnls) which is useful w…
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Rewrite this R implementation in efficient non-allocating .NET code https://gist.github.com/buybackoff/bfeb9c8959157dbf86310d383c93f00d
* [ ] Should return a structure with coefficients, the curr…
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Per discussion with @matt-long, it would be useful to add a least squares polynomial fit to esmlab:
```python
import xarray as xr
import dask.array as da
def _order_and_stack(darr, dim):
d…
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I like Veusz fitting for the flexible expression, but it seems sometimes give strange results even in some simple linear regression (as below). Are these intended behaviors or bugs?
If this behavio…
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The first goal is to do a v4 script in which you optmize using the least square function from scipy, instgead of your custom optimizer.
```python
from scipy.optimize import least_squares
# (...…