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It may be possible to get a speed up from deterministic projections in big landscapes by using sparse matrix classes
For a 3-stage, 2000 patch dispersal model, switching from `matrix` to `Matrix` (an…
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First off, thank you for all the hard work you have done in developing this package for R/stan. I am very excited to get to use it but I am having some trouble with computational speed. I wonder if I …
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## __Description__
AirPLS (Adaptive Iteratively Reweighted Penalized Least Squares) and ArPLS (Asymmetrically Reweighted Penalized Least Squares) are powerful algorithms for removing complex non-li…
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I have a particularly critical use-case where I would like to build a sparse-matrix (SMat, perhaps GSMat later) from the columns I have accessed from an FMat. The following vignette illustrates how I…
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I imagine an API that is something like this:
```python
>>> import jax.numpy as jnp
>>> from jax.experimental import sparse
>>> mat = sparse.BCOO.fromdense(jnp.arange(4))
>>> mat2 = sparse.apply_…
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So far I've got `edge_index`, `edge_weight`,
How do I go about converting these two vectors into the `adj` . It has the dimensions (number of nodes, number of nodes).
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https://github.com/statsmodels/statsmodels/pull/2356#issuecomment-117770227
(copied here, there is more discussion on implementing a different set of cov_types in statespace MLE models)
There is a b…
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Follow up to #146187.
- [ ] For indices with many (high hundreds to thousands) of populated fields, the transform wizard rerendering becomes very slow.
- [ ] The query to identify populated fields…
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`QuantileRegressor` has been implemented in https://github.com/scikit-learn/scikit-learn/pull/9978
However, it was reported to have an issue with large array of data where linear programming solvers …
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Hello there. I am working in a new way to calculate some RQA quantifiers and, for this purpose, I need to extract some smaller sets of the Recurrence Matrix (RM). I have implemented this in my own cod…