:orphan:
Survival Analysis Walkthrough
=============================
This is a collection of examples for using the XGBoost Python package for training
survival models. For an introduction, see :doc:`/tutorials/aft_survival_analysis`
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.. image:: /python/survival-examples/images/thumb/sphx_glr_aft_survival_demo_thumb.png
:alt:
:ref:`sphx_glr_python_survival-examples_aft_survival_demo.py`
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Demo for survival analysis (regression).
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.. image:: /python/survival-examples/images/thumb/sphx_glr_aft_survival_demo_with_optuna_thumb.png
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:ref:`sphx_glr_python_survival-examples_aft_survival_demo_with_optuna.py`
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Demo for survival analysis (regression) with Optuna.
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.. image:: /python/survival-examples/images/thumb/sphx_glr_aft_survival_viz_demo_thumb.png
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:ref:`sphx_glr_python_survival-examples_aft_survival_viz_demo.py`
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Visual demo for survival analysis (regression) with Accelerated Failure Time (AFT) model.
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.. toctree::
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/python/survival-examples/aft_survival_demo
/python/survival-examples/aft_survival_demo_with_optuna
/python/survival-examples/aft_survival_viz_demo
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:download:`Download all examples in Python source code: survival-examples_python.zip `
.. container:: sphx-glr-download sphx-glr-download-jupyter
:download:`Download all examples in Jupyter notebooks: survival-examples_jupyter.zip `
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`Gallery generated by Sphinx-Gallery