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hi @theadityasam @anujkhare I wrote this R script https://github.com/tdhock/neuroblastoma-data/blob/master/iregnet.R to benchmark the performance of cv.iregnet.
The benchmark includes 33 different …
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### Environment details
If you are already running SDV, please indicate the following details about the environment in
which you are running it:
* SDV version:
* Python version:
* Operating S…
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Hello, I am preparing a research paper, and I've come across a somewhat tricky issue.
During hyperparameter optimization, I've identified four hyperparameters: min_topic_size, nr_topics, min_cluste…
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While the authors claim to be doing a convolution, even going as far as naming their tool CellCnn, they are doing a stride of 1 which is essentially a dense layer. Further, you say they used the "mos…
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# max_delta_step
https://xgboost.readthedocs.io/en/latest/tutorials/param_tuning.html
https://xgboost.readthedocs.io/en/latest/parameter.html
![image](https://user-images.githubusercontent.com/…
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MoreLikeThis is something we use massively. I am confident there is a way to replicate this with Rubix ML (and even have a learning system), but I am wondering about a suggested approach.
Related l…
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When using the `doc_length` parameter in the `LangChain()` class from bertopic.representation the following error occurs:
```Fitting Model...
2024-04-10 18:42:39,015 - BERTopic - Embedding -…
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The `dense_vector` and `sparse_vector` fields place a hard limit of 500 on the number of dimensions per vector. However, many of the common pretrained text embeddings like [BERT](https://github.com/go…
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Hi,
### *Randomized SVD is not accurate*
Currently most (if not all) of the PCA / linear dimensionality reduction / SVD is first routed through either `TruncatedSVD` or `PCA(svd_solver='randomiz…
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Re JOSS review openjournals/joss-reviews#6889
One of the most powerful features of `scores` is its flexible handling of multidimensional arrays, e.g., through the inclusion of "reduce" and "preserv…