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Hi, may I ask what's the difference between the three Reg/Strategy? Is ICP-Reg only lidar or is always based on visual features?
I'm currently using proximity detection + non robust loop closures a…
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Is there any interest in supporting covariance matrices between different spectral elements? In `sncosmo`, we're looking at how we can fit models of supernovae to spectral data, and are interested in …
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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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Sometimes, KDE tends to oversmooth the PDF, which introduces bias in the estimated PDF. Inverse-transform sampling doesn't have this issue, but it is usually implemented in 1D. This package extends it…
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When I am calling `kalmangrad.grad` as below:
```
smoother_states, filter_times = kalmangrad.grad(y, t=t / HERTZ, delta_t=1 / HERTZ)
```
I noticed that the value of `HERTZ` above makes a huge …
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In your ml.py file, line 67 you have the following:
# Creating covariance matrix and training data on PCA.
cov_matrix = X_train.loc[:,X_train.columns != 'DJIA'].cov()
pca = PCA()
pca.fit(cov_mat…
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Hi! How can I output the covariance between the main effect (SNP) and the interaction effect (SNP*sex). I'm using assocTestSingle() for association tests and this is not included in the results. I cou…
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## Current variance behaviour
Currently, definitions of interface implementations (i.e. `owns` and `plays` statements) are **covariant** in the implementing type (the owner or roleplayer), and **in…
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merged in #7059
requested in #7005
I was trying to see how difficult it would be to replicate multivariate model with unstructered within covariance. (for #8722)
`Unstructured` is already impleme…