5fc5ec539d
* Robust regularization of AFT gradient and hessian * Fix AFT doc; expose it to tutorial TOC * Apply robust regularization to uncensored case too * Revise unit test slightly * Fix lint * Update test_survival.py * Use GradientPairPrecise * Remove unused variables
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625 B
ReStructuredText
27 lines
625 B
ReStructuredText
#################
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XGBoost Tutorials
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#################
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This section contains official tutorials inside XGBoost package.
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See `Awesome XGBoost <https://github.com/dmlc/xgboost/tree/master/demo>`_ for more resources.
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.. toctree::
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:maxdepth: 1
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:caption: Contents:
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model
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saving_model
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Distributed XGBoost with AWS YARN <aws_yarn>
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kubernetes
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Distributed XGBoost with XGBoost4J-Spark <https://xgboost.readthedocs.io/en/latest/jvm/xgboost4j_spark_tutorial.html>
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dart
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monotonic
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rf
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feature_interaction_constraint
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aft_survival_analysis
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input_format
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param_tuning
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external_memory
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custom_metric_obj
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dask
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