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Hi,
I was wondering if you guys are considering to add support for writing matrices to [zarr](https://zarr.dev/) stores ? It has a similar hierarchical structure to `hdf5` and there currently exis…
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## Background
*relevant information and motivation for this task*
For each combination of model size and training step, we can compute ontology scores (for example causal sep score below).
Thes…
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A suggestion/idea — I read the paper ["Vertical, Temporal, and Horizontal Scaling of Hierarchical Hypersparse GraphBLAS Matrices (2021)"](https://arxiv.org/pdf/2108.06650.pdf) and I was wondering whet…
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Here are some goals we set at the 4/15 meeting:
- "Nearby" function to get a close Toeplitz, Hankel, Cauchy, etc. approximation to a given matrix
- "Norms" fast norm computations for our structure…
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**Is your feature request related to a problem? Please describe.**
Clustergrammer2 can visualize matrices with ~10 million matrix cells, but slows down when there are too many columns or rows (>20,00…
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It would be helpful if one could specify priors for classes such as intercepts, coefficients, and covariance matrices across all hierarchical levels of a model (e.g., groups, treatments, or subjects).…
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Hi, I was trying to use the module today, but I keep running into the issue that when I try to use any method to calculate hierarchical levels, python throws the following error: 'numpy.ndarray' objec…
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#### Description
Precomputed distances are treated as "unsupported" by AgglomerativeClustering, regardless of the provenance. (e.g. sklearn.metrics.euclidean_distances)
This restriction makes it…
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## Description
i am using HybridIndexer to do label indexing, using PIFA Embedding for labels by combining label one hot encoded matrix with input feature matrix.
i ran following code:
# Build Hyb…
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Distributions in pyro can generally take a tensor of params and return a corresponding tensor of samples, allowing models to be vectorized nicely over batches.
For many applications of `random_mod…