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Hi, this is the new proposal for metric-learn's API.
The previously proposed API (https://github.com/metric-learn/metric-learn/pull/85) , used a custom data object (ConstrainedDataset), but this i…
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Greetings,
Can BayesianTools Handle high dimension multimodal posteriors?
I'm looking at working with 16 - 50 Dimensions and Multinest's likelihood evaluations increase
exponentially with dim…
3rico updated
6 years ago
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#21 may work ok for unimodal distributions. But how to handle transformation multimodal distributions? Should they be handled uniquely? Note that multimodality in a sample is special, but not much mor…
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ref: https://github.com/tompollard/tableone/issues/19
> While categorical variables are being considered, all other variables are being described in terms of a unimodal perspective. This can be pot…
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Hello Kevin,
Here is the list of words missing in US (as usual, some may be GB only):
chromebook
chromebooks
CentOS's
openSUSE's
Mageia
Mageia's
LXDE
LXDE's
Xfce
Xfce's
Ossanna
Ossanna'…
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> Reviewer: 2
> Comments to the Author
A Python package for generating summary statistics for research articles, called tableone, is presented. The package is made available on PyPI and GitHub. A …
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Hi,
When I run the model below with `PyStan`, `NUTS` algorithm converges to some values, but `HMC` goes into an infinite loop.
```
data {
int N;
real datax[N];
real datay[N];
}
para…
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Are there any plans to port this to Python 3?
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See discussion in #5 #28
- Currently the default `UERE` value is 0 in app when there is no error input by user. This should change to 10 by default.
- Unify the treatment of errors in app.
- Upd…
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> Reviewer: 1
> Comments to the Author
> The authors describe a Python package called tableone that facilitates generation of descriptive summary statistics for scientific studies, especially bio…