tf_rmtpp

.. image:: https://img.shields.io/pypi/v/tf_rmtpp.svg :target: https://pypi.python.org/pypi/tf_rmtpp :alt: Latest PyPI version

.. image:: .png :target: :alt: Latest Travis CI build status

An (unofficial) implementation of Recurrent Marked Temporal Point Processes <https://www.kdd.org/kdd2016/papers/files/rpp1081-duA.pdf>_ in TensorFlow.

Citation:

Du, N., Dai, H., Trivedi, R., Upadhyay, U., Gomez-Rodriguez, M., & Song, L. (2016, August). Recurrent marked temporal point processes: Embedding event history to vector. In Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (pp. 1555-1564). ACM.

Usage

Installation

.. code:: bash

pip install git+https://github.com/musically-ut/tf_rmtpp.git@master#egg=tf_rmtpp

Requirements ^^^^^^^^^^^^

• TensorFlow
• pandas

Compatibility

• Python 3

Licence

MIT

Authors

tf_rmtpp was written by Utkarsh Upadhyay <musically.ut@gmail.com>_.

Other implementations

Checkout woshiyyya/ERPP-RMTPP <https://github.com/woshiyyya/ERPP-RMTPP>_ for an implementation based on PyTorch.