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Hello !
Thanks a lot for the nice code you provide ! I've just installed it, and I want to use the cuda version of it.. So I first use the cmake option -DBUILD_CUDA_LIB, and I add to change the CUDA…
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Simple Example:
```r
task % lrn("clust.kmeans", centers = x))
design = benchmark_grid(
tasks = task,
learners = kmeans_centers,
resamplings = rsmp("insample")
)
bmr = benchmark(design)
…
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When I load the generated bertopic model, it give the following error traces:
```
/home/21zz42/Asset-Management-Topic-Modeling/.venv/lib/python3.10/site-packages/umap/distances.py:1063: NumbaDepreca…
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Thanks to Reviewer B and C for their comments and time reviewing our submission.
Our response below is organized in two parts. We start by clarifying our goal and the way we approached it, before …
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I found Kmeans in mauve.compute_mauve takes quite a long time, so i implemented Kmeans (with the same api to kmeans in sklearn) with pytorch and cuda, and replace the faiss.Kmeans with it.
In my ob…
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Hi @longcw , I've replaced the Reid part of extracting features by my own trained model, the evaluation result gets worse. Have your fine-tune the Reid model on the MOT dataset?
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There is a line in `ProductQuantizer.h` that states the following:
https://github.com/facebookresearch/faiss/blob/b670cb1cc6f07fc2547a92dcbc01b6d64440a53b/faiss/impl/ProductQuantizer.h#L24
@mdouze…
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Failed job: spark-rapids-ml_nightly/478
Failed case:
```
FAILED tests/test_approximate_nearest_neighbors.py::test_ivfpq[float32-(10000, 50)-ivfpq-vector-200-algo_params1-sqeuclidean] - assert False
``…
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These are my plots of the registered pots, by shape class. So what's completely clear here is that the registration is destroying any information about the differences between the shape classes. If yo…
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### Describe the bug
Hi,
I performed some optimization on a few models implemented via the sklearn API. For fine tuning, I want to visualize the effect of certain hyperparameters using the `Valida…