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TabNet ([paper](https://arxiv.org/abs/1908.07442)) has been implemented in R recently ([mlverse/tabnet](https://github.com/mlverse/tabnet), even it is based on torch package !), it is known for its go…
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The `pip` section in `packages` is not working correctly.
Affects: `anaconda-project==0.8.0`
Example project yaml:
```yaml
name: 22-classification-and-regression-trees
commands:
defaul…
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Hello Everyone
Not sure if I'm doing something wrong or this is the default behavior. I have a server with following specs
32 x Intel(R) Xeon(R) CPU E5-2640 v2 @ 2.00GHz (2 Sockets)
Memory 125…
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Comparing multi-GPU dask.xgboost regressor training with single GPU xgboost training on the same sample dataset, I generally get similar RMSE results if I use the same number of boosting rounds. This …
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Nonnegative regression is useful in a number of contexts. For example, if one wishes to estimate the conditional variance then regressing (Y-E[Y|X])^2 on X using poisson regression makes sure the esti…
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请问有没有推荐系统中召回或排序的例子以及文本分类的例子
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I wonder if I can use the frcnn to extract the features after bbox regression. Then I need to add one more layer like xgboost to output some possibility. For example, I trained some classes like ears,…
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Add support for quantile linear regression, e.g.
```{r}
library(parsnip)
linear_reg() %>%
set_engine("quantreg", tau = 0.50) %>%
set_mode("quantiles") # maybe unnecessary... see #85
``…
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I want to draw SHAP partial dependence plots with regression lines + and histograms.
I am using kernal explainer for multioutput regression as a wrapper models for xgboost / lgbm/ xgbr/ RF/ etc.
…
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Getting this warning when training my model:
```
DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all…