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As a followup to #163, we need to figure out the right way to wire a precomputed dataset into the skills data generation. One example of such a dataset is https://github.com/instructlab/training/blob/…
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I'm trying to figure out how we could enable precomputed distances for Parametric UMAP, since fit_transform only takes in `X` as either the distance matrix, _or_ the data, but Parametric UMAP would ne…
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**Comments**
so users can provide their own clustering for samples (e.g., based on UniFrac distance) and features (not sure this is possible; a way to provide their own phylogeny would be awesome but…
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Running on the binary from Google Sheets,
```
BINARYEN_CORES=1 perf record bin/wasm-opt binary.wasm -all --precompute --no-validation
```
(1 core to avoid noise from multithreading; validation dis…
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### Your idea
Looking at https://bids.neuroimaging.io/bep031 there seems to be no mentioning of "precomputed" file format heavily used by various groups for EM data and supported by a wide range of s…
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For `pipelineCNA()` a synthetic baseline is calculated per-sample. This can be an issue when you have a large dataset and have to run single samples for computational reasons as the baseline is differ…
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This needs to be way quicker. Realistically we should always be running off of a precomputed dataset.
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Currently blocked by https://github.com/RustCrypto/crypto-bigint/issues/704.
In the `paillier` module, we have some `MontyParams` structures with moduli `p` and `q`, and some precomputed constants …
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PR https://github.com/chaos-polymtl/lethe/pull/1270 made the assumption that the forcing function is constant over time. However, it seems that it can be time-dependent
https://github.com/chaos-pol…
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The blend kv example code produces zero retrieval chunks from cache, even they are precomputed.
**Expected behavior**
KVs for both chunk_1.txt and chunk_2.txt should be retrieved during generation…