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I have an old XGBClassifier model pickled to a file, which was created by xgboost 1.4.2, back when `use_label_encoder=True` was default.
It seems that onnxmltools does *not* support XGBClassifiers …
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There are large differences between SHAP values calculated using CPU and GPU for XGBoost models with `feature_perturbation='interventional'` and `model_output='log_loss'`. The detailed description of …
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Normally with xgboost `fit(..., verbose=1)`, I get a line for each tree and the evaluation metric.
With `tune_grid(control=control_grid(verbose=T))`, I get messages for each model tried, but not the…
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A new XGBoost error appears to have popped up when calling oce.TOP_MODELS_ADMET()
---------------------------------------------------------------------------
MisconfigurationException …
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**Describe the bug**
ParamValidationError while prediction
Also the hyperparameter is not parsing during model training
**Expected behavior**
pediction of no:of days(using Xgboost regression bu…
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I've created a Sagemaker XGBOOST model and compiled it for NEO using:
```
compiled_model = xgb.compile_model(target_instance_family='rasp3b',
role=role,
…
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Hello everyone,
Local explanations with `eli5.explain_prediction` yields confusing results when applied to a XGBoost model.
Indeed, the sum of contributions (computed from all leaves value) does …
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I am working on feature selection using Genetic Algorithm (GA) with Random forest regression model (h2o4gpu.RandomForest Regressor). The number of estimators is 100, rest of the parameters are default…
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Tommy & Emily discussed this on 2024-08-23.
To do:
- [x] Figure out what information we want to export, and in what format (CSV? json?)
- [ ] Set up the code to do this export (Emily will draft…
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In practical modelling scenarios there are often some very key variables which are very sparsely populated- which forces the modelers to set lower min_child_weight values to ensure these variables are…