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I am trying to process the output of a multi-classification model of `xgb.XGBClassifier` with a customized function.
```
def pred_LB_conf(X):
remain_prob = 1.0
for i in range(len(X)):
…
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Main problem: My model is a XGBoost model that intake pd.dataframe as X, while lime.explainer.explain_instance needs a function as the second argument that intake np.array and output Y value. I tried …
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Hello Dr Prive,
The subject of this issue is a question relating to an error I got when trying to test the `snp_fastImpute` method from the bigsnpr package. To explain the context, I try to impute …
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Am modeling the Framingham Heart Study dataset from Kaggle. Dataset has been prepared for XGBoost. Model trained with objective set to multi:softprob. When I execute XGBoost.predict against the tr…
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I have a xgboost model that is trained with data that has missing values in a number of columns, so it should be able to handle new observations that have missing data. The issue is if you try to pre…
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### pycaret version checks
- [X] I have checked that this issue has not already been reported [here](https://github.com/pycaret/pycaret/issues).
- [X] I have confirmed this bug exists on the [latest…
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## Description
getting Fatal Error when i run lgb.train()
## Reproducible example
model
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this is my invocation:
SELECT pgml.train(
'EQ-5D-angst',
task => 'regression',
relation_name => 'pgml.angst_view',
y_column_name => 'angst',
algorithm => 'xgboost'
);
this is h…
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### pycaret version checks
- [X] I have checked that this issue has not already been reported [here](https://github.com/pycaret/pycaret/issues).
- [X] I have confirmed this bug exists on the [latest…
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Hi,
If I use a custom metric like the brier score where lower is better, does this package support looking to minimize the eval metric? or is it by default trying to maximize?
Thank You