Hawkes
a python package for simulation and inference (maximum likelihood estimation) of Hawkes processes.
Install
pip install hawkes
Tutorial
https://colab.research.google.com/github/omitakahiro/Hawkes/blob/master/notebooks/tutorial.ipynb
Feature
This package provides the following kernel functions:
- exponential function
- sum of multiple exponential functions
- power-law function
- non-parametric function
This package provides the following classes of a baseline intensity:
- constant baseline
- piecewise constant baseline model
- piecewise linear baseline model
- log-linear baseline model
- custom baseline function
Contact
Takahiro Omi
https://sites.google.com/view/omitakahiro/home-english
takahiro.omi.em[at]gmail.com
Release files for hawkes 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| hawkes-1.0.0.tar.gz | 12.9 kB | Details |
Release files / hawkes-1.0.0.tar.gz
| Download URL | hawkes-1.0.0.tar.gz |
|---|---|
| Size | 12.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
e2cae699492ccddb6a17f31321088c463f1344ded8b20c14b3366d31611833ee
|
|
BLAKE2b-256 checksum How to use checksums |
7fc93739fdbcd2cf26c0e16b0e5262571d3de3ab322ba29944dce36685e2125c
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.1 importlib_metadata/3.10.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.7.9
|