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您好,我想请问一下论文中Normal 和 Lognormal 的倾斜数据集生成的代码,是否能详细说说,感谢您能回复
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I recently used `rdkafka` and found that the send efficiency is very low when the data is skewed. Because I want to ensure that the data with the same key is in the same partition and in order.
Ther…
immno updated
2 months ago
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### Describe the enhancement requested
In economics and health services research we often use hyperbolic trig functions--particularly the hyperbolic arc sine function--to transform skewed data with 0…
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i think sklearn Powertransformer would be more effective right ?
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Thanks for the great book.I enjoy reading it every day.
I am just preparing a shiny app with leaflet and choropleth maps. I display the geographic distribution of the hometowns of my patients. One …
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Hi,
I'm wondering what's the best approach for data that is highly right-skewed. Is it best to take a log transform of it to make it more "normal" or does DirectLiNGAM deal with skewed data? The …
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In nexpy it is possible to chose `skew angle` to show data in non-orthogonal coordinate system. However on my computer, `skew angle` is applied only when aspect ration is set to `equal`.
I am tryi…
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Improve Prompt Structure for Image Generation with Grammar Instructions
Skewed results identified for prompts containing grammar instructions. Resarch OpenAI's knowledge base and support forum thread…
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Considering the fraction of signals versus total backgrounds, there is a high skewed data which ends up very low accuracy and F1 score for all ML models. Is there any way to fix this like: including o…
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We should run https://github.com/dmlc/xgboost/blob/18cbebaeb9c04dfb112b7f42c7b15087bc6a190b/src/common/quantile.cu#L351 before pruning so that accumulated weight for the same element is more accurate.