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## Initial Model Results
* `Type` game by game
* `Response` binary win/loss
* `Training Set`: 2014-2017 regular season
* `Test Set`: 2014-2017 tournament results (take last game week of each t…
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### Deliver limited hindcast data
> run at one, two, and three month lead times from both a summer initialisation date of February 2018 as well as a winter initialisation date of June 2018. This wi…
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Hello,
I have some questions about how to import the resulting models of the MLJAR process into scikit-learn.
-1. Do I have to manually extract the configuration of the framework.json parameter…
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**Describe the bug**
Models have all finished training, and during the ensembling process, cuda runs out of memory.
Reproduce
Steps to reproduce the behavior:
Run Autorunner on AMOS22 dataset
…
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E.g. is it a
- history matching iteration ensemble (iter-0, ... iter-3...)
- prediction ensemble
- sensitivity ensemble
The "ensemble type" (better terminology might/probably exist) will be used…
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Welcome to 'DSWP' Team, good to see you here
This issue will helps readers in giving all the guidance that one needs to learn about Ensemble Methods. Tutorial to Ensemble Methods and how it's appli…
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I may have found a bug related to how IbisML integrates with grid search from sklearn, but it could be that this is out of scope of the project.
```python
import ibis_ml as iml
from sklearn.pipe…
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Hello, @slundberg .
Thank you for your papers about SHAP values.
Could you, please, provide an explanation what is going on exactly when in the TreeExplainer we set `feature_dependence = “indepe…
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Hi,
First of all, thanks for a great product! I've been using Shapley-value-induced black-box model explanations for a few years now, starting with the work of Strumbelj and Kononenko (http://lkm.f…