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when I analysis 1 million cells collected by myself using multigpu, step of dask_sparse_arr.compute_chunk_sizes() is error. Error information is below:
cuml/linear_model/linear_regression.pyx in cu…
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---------------------------------------------------------------------------
ImportError Traceback (most recent call last)
[F:\TEMP\ipykernel_234664\765891537.py](file:/…
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I am working on a regression problem where I am attempting to use UMAP for supervised feature embedding, and use the resulting low-dimensional embeddings as input variables of a subsequent regression …
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I need to perform a Poisson regression on data with around 80,000 dummy variables used to capture two different fixed effects parameters in the model, but get a memory error when trying to do so.
T…
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| | |
| --- | --- |
| Bugzilla Link | [52308](https://llvm.org/bz52308) |
| Version | unspecified |
| OS | Linux |
| CC | @joker-eph,@SaurabhJha |
## Extended Description
The sparse compiler relie…
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We haven't done a systematic performance engineering since we switch to the LLVM backend. I
suspect there to be a lot of space for performance optimization, especially when it comes to sparsity and…
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Useful for sparse regression with fixed effects or categorical variables.
see
#2710 sparse support in models
#2568 absorbing fixed effects
opening to park my draft version, that I had misplaced, di…
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Implement GPU version of `scipy.*` functions in `cupyx.scipy.*` namespace.
This is a tracker issue that summarizes the implementation status of each SciPy public module in CuPy. See the [comparison…
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This is the tracking issue for sparse strips (not the design document).
Sparse strips represent the next generation of GPU path rendering, promising better performance and more flexibility in integ…
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[(0.666667, SimpleRegressionPipeline({'imputation:strategy': 'mean', 'one_hot_encoding:use_minimum_fraction': 'True', 'preprocessor:__choice__': 'no_preprocessing', 'regressor:__choice__': 'adaboost',…