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``EasyTPP`` Documentation
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``EasyTPP`` is an easy-to-use development and application toolkit for `Neural Temporal Point Process <https://mathworld.wolfram.com/TemporalPointProcess.html>`_ (*Neural TPP*), with key features in configurability, compatibility and reproducibility. We hope this project could benefit both researchers and practitioners with the goal of easily customized development and open benchmarking.
.. toctree::
:hidden:
.. toctree::
:maxdepth: 2
:caption: GETTING STARTED
Introduction <get_started/introduction.rst>
Installation <get_started/install.rst>
Quick Start <get_started/quick_start.rst>
.. toctree::
:maxdepth: 2
:caption: USER GUIDE
Dataset <user_guide/dataset.rst>
Model Training <user_guide/run_train_pipeline.rst>
Model Prediction <user_guide/run_eval.rst>
.. toctree::
:maxdepth: 2
:caption: DEVELOPER GUIDE
Model Customization <dev_guide/model_custom.rst>
.. toctree::
:maxdepth: 2
:caption: ADVANCED TOPICS
Thinning Algorithm <advanced/thinning_algo.rst>
Tensorboard <advanced/tensorboard.rst>
Performance Benchmarks <advanced/performance_valid.rst>
Implementation Details <advanced/implementation.rst>
.. toctree::
:maxdepth: 2
:caption: API REFERENCE
Config <ref/config.rst>
Preprocess <ref/preprocess.rst>
Model <ref/models.rst>
Runner <ref/runner.rst>
Hyper-parameter Optimization <ref/hpo.rst>
Tf and Torch Wrapper <ref/wrapper.rst>
Utilities <ref/utils.rst> |