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import xgboost as xgb
xgb.__version__
Out[203]: '2.0.2'
booster = xgb.train(
{
# Use the quantile objective function.
"objective": "reg:quantileerror",
"tree_met…
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**Submitting authors:** @mmaidana24318, @stevenlio88, @ZherenXu
**Repository:** https://github.com/UBC-MDS/Bank_Marketing_Prediction
**Report link:** https://htmlpreview.github.io/?https://githu…
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Hi Group 16!
I have a lot of suggestions for you, and part of the confusion on my end is the fact that your 'Report' document is more like an eda report, but with some report sections. By making a …
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Is there a way to do an ordered logit with pygam? Can't find a way to do it in sklearn either.
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I will merge OrderedModel with core functionality in PR #7035
R package `ordinal` has a good article, based on very brief skimming
https://cran.r-project.org/web/packages/ordinal/vignettes/clm_ar…
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Based on the model_summary results.
Is the model a neural network with one hidden layer with **no activation function** ("embeddings" layer) and one output layer with a softmax activation function…
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would you like us to return the standard errors for the quasi-coefficients in addition to those for the beta parameters? Or is a plot sufficient? If so, what's the best way to compute and report those…
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based on the comments in #2208
`risk ratio` is a useful effects measure that is often used in medical, epidemiological studies, and I guess other areas.
It makes a good use, example and test case f…