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**Description of the issue**
This is meant to discuss how to properly compute the covariance matrix:
- is it correct to take into account the sky coverage correction, i.e. f_{sky}=12.25/5000 to …
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Hi all,
I'm considering using this module for data fitting with various functions (mostly Gaussian), however I can't find any references on how to generate/get the covariance matrix in order to extra…
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To help with parameter identification and estimation due to the high number of potential parameters, should we include estimated or fixed penalties on the covariance parameters?
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Hi there,
I am currently using multiple OAK-d cameras on a mobile robot for pedestrian detection. I have used the Spatial Tiny-yolo example as a template and then publish detections on a ros topic …
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I would like to be able to run a GEE analysis using an unstructured covariance. In R this is very easy to do, e.g:
```
library(geepack)
geeglm(
outcome ~ . -cluster_id,
id = cluster_id,
…
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Just wanted to park your gist here since I came across it this week, looking for similar. I don't know if it's something we want to include or if it belongs in scipy or scikit-learn (I don't think it'…
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### Describe the workflow you want to enable
Currently, Scikit-learn's LinearDiscriminantAnalysis (LDA) classifier does not support incremental learning through the partial_fit method. This poses c…
wcscr updated
1 month ago
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I see recurring problems when trying covariances different than "full", that is diag, spherical etc.
The code to reproduce
from smm import SMM
from sklearn import datasets
data = datasets.load_i…
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I receive the following traceback message when running fitallb.py on one of the included test input files (inf10.inp):
```
Traceback (most recent call last):
File "fitallb.py", line 16, in
…
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Hello, apologies if there's something I overlooked, but I am trying to figure out the easiest way to compute the voxel covariance matrix for an ROI based on the residuals from the GLM (useful for e.g.…