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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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I know variance a big and confusing topic, but since we allow covariance for structures (e.g. passing `Array` as `Iterable`), maybe we could also allow it for abstracts (to pass `Array` to `ReadOnlyAr…
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![image](https://user-images.githubusercontent.com/17681226/92356173-3b065000-f118-11ea-8953-e4595f1de7b6.png)
This slide implies that code written for `Shape[]` will work for when it's substituted…
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R inline package might be a good place to start
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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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**Summary**
'mmrm' already supports 'spatial' covariance structures. These are essentially covariance functions and allow fitting Gaussian process models.
GP models are particularly useful whe…
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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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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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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 …