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I have come across speed-ups for XGBoost and LightGBM [here](https://www.intel.com/content/www/us/en/developer/articles/technical/improve-performance-xgboost-lightgbm-inference.html#gs.f2cmrw) and won…
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Hello,
I thought it would be helpful to the package to have a page on readthedocs.io. The main reason I think it's a good idea is to get some kind of docs related to the api up similar to https://xg…
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A new kid on the gradient boosting block is the NGBoost variant described in this [project](https://stanfordmlgroup.github.io/projects/ngboost/) from the Standford ML Group. It would be really nice to…
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Hey @alejandroschuler! Is it possible to create an MDN with ngboost? That is combine multiple distributions (in the most general case, from different families) to predict the output of interest?
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The company I work for is looking for someone to reduce the amount of time NGBoost takes to train and run inference.
We will be willing to pay someone to refactor the algorithm (rates are negotiable…
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Trying to run hummingbird for NGBRegressor and receiving
`
MissingConverter: Unable to find converter for model type .
It usually means the pipeline being converted contains a
transformer or a pre…
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Problem: CatBoost is a great library, but it currently lacks reliable modern uncertainty quantification that is rather easy to implement using conformal prediction. https://github.com/valeman/awesome-…
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I am optimizing hyperparameters using optuna and getting this error:
C:\Users\shawn\anaconda3\lib\site-packages\ngboost\distns\normal.py:70: RuntimeWarning: overflow encountered in exp
self.scal…
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For the next roadmap for H2O-3:
Could the addition of NGBoost be considered?
https://stanfordmlgroup.github.io/projects/ngboost/
https://github.com/stanfordmlgroup/ngboost
The approach for a…
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### **Question 1:**
The first partial derivative of the log of normal distribution `(l=-log(N~(μ,σ^2)))` with respect to the parameters μ and σ is
- ∂l/∂μ = (μ - x)/σ^2
- ∂l/∂σ = (σ^2 - (μ - x)^2)…