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**Describe the use case example you want to see**
A SageMaker Pipeline to train, evaluate, and register a model using one (or more?) of the new JumpStart-based [built-in algorithms for tabular data…
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miniconda3\Lib\site-packages\supervised\preprocessing\preprocessing_categorical.py:81:
FutureWarning: Setting an item of incompatible dtype is deprecated and will raise in a future error of pandas…
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Hi,
Happy new year 👍
After having installed per the instructions (https://postgresml.org/docs/resources/developer-docs/installation) I ran into this:
## Error
error[E0412]: cannot find type …
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Use a gradient boosting model with grid search to explore the best possible model.
Sklearn implementation of GBM
http://scikit-learn.org/stable/modules/generated/sklearn.ensemble.GradientBoostin…
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In [xgboost scikit-learn fit API](https://xgboost.readthedocs.io/en/latest/python/python_api.html#xgboost.XGBRegressor.fit), the argument `eval_metric` can be a string for single metric or a list of s…
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Hi there!
I'm having an issue with trying to explain predictions from an XGBoost model, fitted with objective="count:poisson". The predictions don't match between xgboost and SHAP.
`shap.initjs(…
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**Link to the notebook**
https://github.com/aws/amazon-sagemaker-examples/blob/master/advanced_functionality/xgboost_bring_your_own_model/xgboost_bring_your_own_model.ipynb
https://github.com/aws…
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Chapter 12
"xgboost will except three different kinds of matrices for the features: ordinary R matrix, sparse matrices from the Matrix package, or xgboost’s internal xgb.DMatrix objects. See ?xgboo…
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Hello RAPIDS team,
I'm trying to use FIL to score a cudf object which has null values, but I am getting an error suggesting me to replace these null values.
I'm using an XGBoost (trained on GPU…
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Excellent tool here. I have been using it for binary classification problems following the examples. However, for a multi-class XGBoost problem, I am using:
shap_values = shap.TreeExplainer(bst).sh…