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xgboost/demo/guide-python
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Philip Hyunsu Cho c621775f34
Replace all uses of deprecated function sklearn.datasets.load_boston (#7373) 
* Replace all uses of deprecated function sklearn.datasets.load_boston

* More renaming

* Fix bad name

* Update assertion

* Fix n boosted rounds.

* Avoid over regularization.

* Rebase.

* Avoid over regularization.

* Whac-a-mole

Co-authored-by: fis <jm.yuan@outlook.com>
2022-01-30 04:27:57 -08:00
..
basic_walkthrough.py
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boost_from_prediction.py
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callbacks.py
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cat_in_the_dat.py
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categorical.py
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continuation.py
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cross_validation.py
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custom_rmsle.py
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custom_softmax.py
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evals_result.py
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external_memory.py
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feature_weights.py
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gamma_regression.py
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generalized_linear_model.py
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multioutput_regression.py
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predict_first_ntree.py
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predict_leaf_indices.py
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quantile_data_iterator.py
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README.rst
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sklearn_evals_result.py
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sklearn_examples.py
Replace all uses of deprecated function sklearn.datasets.load_boston (#7373)
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sklearn_parallel.py
Replace all uses of deprecated function sklearn.datasets.load_boston (#7373)
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update_process.py
Replace all uses of deprecated function sklearn.datasets.load_boston (#7373)
2022-01-30 04:27:57 -08:00

README.rst 

XGBoost Python Feature Walkthrough
==================================


This is a collection of examples for using the XGBoost Python package.