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**Purpose:**
20th century with RRTMGP + CLUBB bugfix (2nd ensemble member after #554)
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**Description:**
Same as #554 but starting from b.e23_alpha17f.BLT1850.ne30_t232.098 at year 125 ins…
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OS: Windows 10
Running inside Anaconda.
```shell
> python -V
Python 3.6.2 :: Continuum Analytics, Inc.
```
Installing dependencies works fine:
```shell
> pip install setuptools numpy sci…
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As far as I can tell, the `loss` parameter is only exposed for single trees. I think this would be pretty easy to add to the ensemble models.
Issue raised at #211.
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This is not an issue but rather something I would like to bring to your attention.
I've been working on an auto-ensemble mode using the playlib features you mentioned to be able to multibard without …
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This plugin could combine many different plots related to well control:
1. Well control area chart. See issue #629. This chart must be one per well per ensemble. Not possible to display more wells…
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**Description**
I am currently using triton vllm backend for my kubernetes cluster. There are 2 GPUs that Triton is able to see, however it seems to only choose GPU 0 to load the model weights
I h…
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The variety of mdels plays an important role in model ensemble. I tried some parameters such as "colsample_bytree, colsample_bynode" to make model more stable and different, but trees still grow by so…
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**Algorithms**
* Linear Model
- [x] Ordinary Least Squared Linear Regression
- [x] Gradient Descent Linear Regression
- [x] Stochastic Gradient Descent Linear Regression
- [x] Logist…
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Hello,
Currently, dragnet is not compatible with scikit-learn > 0.21.3. I did research and composed a table of compatibilities of pickled dragnet models with new sklearn versions.
| Trained wit…
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here is the code to replicate the issue:
inp = np.array([[-1, -1],
[-2, -1],
[1, 1],
[2, 1]])
model = sklearn.ensemble.RandomForestCl…