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Minimal example:
```
from ngboost import NGBSurvival
import numpy.random as npr
from sklearn.model_selection import GridSearchCV
X = npr.randn(100, 5)
T = npr.rand(100)
E = npr.randint(2, s…
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Hello - thanks again for the wonderful package.
I wanted to ask whether it would make sense to adjust the current `.predict` API to mimic NGBoost's performance, of returning point predictions, whil…
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For some datasets (typically modeling physical properties) one knows that some montone constrain can be applied between a feature and the prediction which can help bring down noise and ensure meaningf…
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Dear @alejandroschuler !
Thank you for the **ngboost** and you time earlier today.
Unfortunately, the output of regression with a LogNormal distribution appears to be incorrect.
[https://cola…
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Replicate onboarding flow
https://python-poetry.org/
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- I recommend you to implement unit testing to develop this package effectively and safely.
- I found RuntimeError in [NGBRegresor](https://github.com/stanfordmlgroup/ngboost/blob/master/ngboost/sk…
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Hi all,
Thank you for creating a very nice package. Are there any plans to implement support for left-censoring? This could be very useful for applications in drug discovery, where assays can typic…
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It appears that `stats.scipy.multinomial` does not support vectorized operations in a way that is consistent with other scipy.stats distributions that I have used:
```
from scipy.stats import bino…
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Hi, this project look awesome and very usefull!!!
The python files are all empty, is this project still Alive ?
Thanks!
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(moved this from other issue)
First of all many thanks for creating and maintaining this project.
I have the following related questions about quantifying uncertainty of predictions:
1) Is a st…