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How can i select argon2 parameters like type (i, d, id), parallelization, salt, memory, iterations
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Hi everyone,
First, thank you for making this very nice tool openly available! I've found it easy and intuitive to use and quite robust with the MCMC machinery.
I have a naive question about the…
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I'm getting this crazy error occasionally while running pybads with `specify_target_noise=true`. It looks like somehow `s2` ends up with more elements than rows of `X`. Any idea what could be going on…
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```
We need to make sure that the file reading for fitting of the dispersion which
is already present is robust. Furthermore, we need to add a fitting capability
for the cross section and powder-av…
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https://en.wikipedia.org/wiki/Random_sample_consensus
Can be used to do robust (less or no influence from outliers) fitting of a curve to data points.
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They are hard to print/make because:
- They are too big (expensive, prone to errors, take too much time to make)
- The fittings need too much precision
- It takes too long to glue them together
…
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```
We need to make sure that the file reading for fitting of the dispersion which
is already present is robust. Furthermore, we need to add a fitting capability
for the cross section and powder-av…
-
I noticed that the file https://github.com/Vital-Fernandez/lime/blob/master/src/lime/resources/parent_bands.txt (and thus also the output of `lime.lime_bands`) contains reference wavelengths that diff…
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It appears the methods are not working other than the default `Mclust`:
Here are the same examples in the manual except the methods
```R
> data(expenditures)
> x rr rr
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At the moment, some or all of the fitters are sensitive to the scale of the data - so for example if I have data that has an amplitude of 1e-15:
```python
import numpy as np
from astropy.modeling…