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I have an issue running asv benchmarking and there is no informative message. The following is my input command and verbose output. Notice there is no error, or otherwise warning even. My asv.conf.jso…
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this is the error i get when I try to download package
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Hello,
Can I get the information of datasets used for producing benchmark results(speedup values) for different scikit-learn algorithms as shown in figure under Acceleration sub section at https://gi…
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Hi,
This year I created a repository called [sklearn_parallel_benchmarks](https://github.com/pierreglaser/sklearn_parallel_benchmarks). It benchmarks the performance of many `scikit-learn` estimato…
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**Context:**
I'm pretty new to automl-benchmark, so I was just trying to run some simple benchmarks according to the documentation. Along this line, I tried running `python runbenchmark.py autogluon`…
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The L1 penalty with coordinate descent solver for GLM was proposed in https://github.com/scikit-learn/scikit-learn/pull/9405 and was not included in the minimal implementation merged in https://githu…
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when running scikit-learn benchmarks.
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Performance is a crucial part when performing operations ond equistore objects. This is important for repeating tasks during the training of a model but also when an model is applied during a simulati…
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# Project title:
### Key Investigators
* Heberto Mayorquin
Willing to work with anyone interested in benchmarks, willing to offer guidance or learn from someone else.
## Project Descriptio…
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Right around the time that I stumbled upon dask-searchcv, scikit-learn 0.19 was released where pipelines now support the memory parameter:
http://scikit-learn.org/stable/whats_new.html#version-0-19
…