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xgboost/demo/guide-python
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Jiaming Yuan b4ec1682c6
Update document for multi output and categorical. (#7574) 
* Group together categorical related parameters.
* Update documents about multioutput and categorical.
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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
Rewrite approx (#7214)
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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
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sklearn_parallel.py
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update_process.py
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README.rst 

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


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