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Hi,
I am trying to run a XGBoost model on the qm9 dataset, but I run into a "UnboundLocalError: local variable 'nb_epoch' referenced before assignment". The other error that I have run into is the…
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For the binary classification case, when using TreeExplainer with scikit-learn the shap values are in a 3D array where the 1st dimension is the class, the 2nd dimension rows and the 3rd dimension colu…
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Thank you for this great package! I was trying to replicate what was proposed on the GitHub page, that is:
```
import xgboost
import shap
# train an XGBoost model
X, y = shap.datasets.boston()
…
ghost updated
2 months ago
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Does xorbits support sklearn and which algorithms are supported?
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### ML-Crate Repository (Proposing new issue)
:red_circle: **Project Title** : Mushroom Binary Classification
:red_circle: **Aim** : to classify mushrooms as edible or poisonous
:red_circle: **Dat…
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Since the XGBoost 1.6, we have been working on having multi-output support for the tree model. In 2.0, we will have the initial implementation for the vector-leaf-based multi-output model. This issue …
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I've been trying to use Dask to chunk data and train a regressor, but I kept receiving this error when trying out some sample code:
```
xgboost.core.XGBoostError: [15:26:58] /Users/runner/work/xgb…
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Seems like it will fail whever an **xgboost** model is fit without a params argument:
```r
library(pdp)
library(xgboost)
boston
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Xgboost provides regression, does this library include that feature?
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### Expected behavior
I'm hitting this error: `FloatingPointError: underflow encountered in _ndtri_exp_single (vectorized)`, when I'm fitting an `OptunaSearchCV` instance with a XGBoostRegressor, w…