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iLampard authored Jul 5, 2023
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| <a href='#features'>Features</a> | <a href='#model-list'>Model List</a> | <a href='#dataset'>Dataset</a> | <a href='#quick-start'>Quick Start</a> | <a href='#doc'>Documentation</a> | <a href='#citation'>Citation</a> |<a href='#acknowledgment'>Acknowledgement</a> | <a href='#star-history'>Star History</a> |
| <a href='#features'>Features</a> | <a href='#model-list'>Model List</a> | <a href='#dataset'>Dataset</a> | <a href='#quick-start'>Quick Start</a> | <a href='#benchmark'>Benchmark</a> |<a href='#doc'>Documentation</a> | <a href='#citation'>Citation</a> |<a href='#acknowledgment'>Acknowledgement</a> | <a href='#star-history'>Star History</a> |

## News
<span id='news'/>
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The full documentation is available on the [website](https://ant-research.github.io/EasyTemporalPointProcess/).

## Benchmark <a href='#top'>[Back to Top]</a>
<span id='benchmark'/>

In the [examples](https://github.com/ant-research/EasyTemporalPointProcess/tree/main/examples) folder, we provide a [script](https://github.com/ant-research/EasyTemporalPointProcess/blob/main/examples/benchmark_script.py) to benchmark the TPPs, with Taxi dataset as the input.

To run the script, one should download the Taxi data following the above instructions. The [config](https://github.com/ant-research/EasyTemporalPointProcess/blob/main/examples/configs/experiment_config.yaml) file is readily setup up. Then run


```shell
cd examples
python benchmark_script.py
```


## License <a href='#top'>[Back to Top]</a>

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