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I'm using a big test dataset (12500 k rows) for prediction. `predict_proba` takes about one day using autosklearn model, formed by only two pipelines, meanwhile it's takes only 4 hours with Random For…
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dummy issue for now so github doesn't close the milestone (when it's empty)
for release notes: PR in master for 0.8 for main enhancements:
list based largely on milestone missing or 0.8
**TODO:** a…
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[Rendered html file](http://htmlpreview.github.io/?https://github.com/abishekarun/STAT545-hw-rajendran-arun/blob/3d171080dde9d5b3f40bfd97bf6d321908429e72/hw03/hw03_gapminder.html)
[Readme file](htt…
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Hi,
I was playing around with the example Boston Data set and noticed if you change the parameter min_samples_leaf != 1, then the x_weights do not look like they are working properly and I run into…
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As mentioned in taxdata issue [#119](https://github.com/open-source-economics/taxdata/issues/119), CPS is missing the following variables -
e02000: Total Sch E income or loss (income or loss from …
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**EDIT 26/11/2018**:
* **Am I affected?**:
If you are using anything crypto-currency related, then maybe. As discovered by @maths22, the target seems to have been identified as copay related libr…
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@p013570
I can see that your Gaffer team is using a number of sketches from our library. Excellent. We also get a number of queries about use of sketches in graph databases. We can certainly po…
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#### Summary:
Add the following functions
- [x] loo_predict
- [x] loo_linpred
- [x] loo_predictive_interval
#### Description:
loo_predict, loo_linpred, and loo_predictive_interval would corres…
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The `quantile_calc` function in performance.py crashes when you provide it with exact equally weighted factors, as the bin edges are not considered unique.
def quantile_calc(x, quantiles):
…
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something along the lines of R function Hmisc::wtd.quantile from the Hmisc package http://cran.r-project.org/web/packages/Hmisc/Hmisc.pdf would be useful.
``` julia
quantile(x::Vector,w::WeightVec)
`…