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Will be useful for knowing which methods are fast/slow to compute and allows users to select faster options.
This might be finicky since many of the methods inherit preprocessed information from ot…
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Hi folks,
I make a lot of model/data comparisons where model spectra are in vacuum and data are in wavelengths.
Today I noticed that the default method in specutils (`scheme='inversion', method=…
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For the distance sparse matrix obtained by TCRDist, I tried to reduce the dimension first and then cluster. For dimensionality reduction, I used the TruncatedSVD method, which first reduced the origin…
KIEwx updated
5 months ago
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*I'm not sure if this is the right place to open this but I couldn't think of a better one as it is a meta-issue covering several different packages and I wanted to make sure this didn't get lost in t…
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Email from Rebecca Powles, Wed, Feb 24, 2021
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Hi Robin and Simon,
(hope I've picked the right audience - please forward if not)
You may be aware of this already, but it has just come t…
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Spectral中计算tp,tn,fp,fn这些使用的不是sklearn而是开发者自己写的compute_metric.py,请恕我才疏学浅理解不能。
**```
def compute_confusion_matrix(precited,expected):
predicted = np.array(precited,dtype = int)
expected = np.…
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### Describe the issue linked to the documentation
The [clustering component](https://www.aeon-toolkit.org/en/stable/api_reference/clustering.html) in aeon currently supports only partition-based met…
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I'm looking here to try and find out all the wonderful methods that `SpectralCube` has:
http://spectral-cube.readthedocs.io/en/latest/api/spectral_cube.SpectralCube.html
But currently there's only 3 …
cdeil updated
8 years ago
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## Description
**i am afraid i am not very familiar with the compiling issue, i changed my mitsuba.conf with the following :**
```json
"enabled": [
"scalar_rgb", "scalar_sp…
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WWZ takes a while to run, so doing 1000 MC is impossible for significance testing. Use the Multiprocessing Pool method properly to run these in parallel considering that most modern machines will have…