autograd-gamma

Name	autograd-gamma JSON
Version	0.5.0 JSON
	download
home_page	https://github.com/CamDavidsonPilon/autograd-gamma
Summary	Autograd compatible approximations to the gamma family of functions
upload_time	2020-10-15 16:51:06
maintainer
docs_url	None
author	Cameron Davidson-Pilon
requires_python
license	MIT License
keywords	autograd gamma incomplete gamma function
VCS
bugtrack_url
requirements	autograd scipy
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            # autograd-gamma
[![PyPI version](https://badge.fury.io/py/autograd-gamma.svg)](https://badge.fury.io/py/autograd-gamma)


[autograd](https://github.com/HIPS/autograd) compatible approximations to the derivatives of the Gamma-family of functions.


# Tutorial

```python
from autograd import grad
from autograd_gamma import gammainc, gammaincc, gammaincln, gammainccln


grad(gammainc, argnum=0)(1., 2.)
grad(gammaincc, argnum=0)(1., 2.)

# logarithmic functions too.
grad(gammaincln, argnum=0)(1., 2.)
grad(gammainccln, argnum=0)(1., 2.)



from autograd_gamma import betainc, betaincln

grad(betainc, argnum=0)(1., 2., 0.5)
grad(betainc, argnum=1)(1., 2., 0.5)

# logarithmic functions too.
grad(betaincln, argnum=0)(1., 2., 0.5)
grad(betaincln, argnum=1)(1., 2., 0.5)

```


# Long-term goal

Build and improve upon the derivative of the upper and lower incomplete gamma functions. Eventually, if we have a fast analytical solution, we will merge into the autograd library.
            

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    "description": "# autograd-gamma\n[![PyPI version](https://badge.fury.io/py/autograd-gamma.svg)](https://badge.fury.io/py/autograd-gamma)\n\n\n[autograd](https://github.com/HIPS/autograd) compatible approximations to the derivatives of the Gamma-family of functions.\n\n\n# Tutorial\n\n```python\nfrom autograd import grad\nfrom autograd_gamma import gammainc, gammaincc, gammaincln, gammainccln\n\n\ngrad(gammainc, argnum=0)(1., 2.)\ngrad(gammaincc, argnum=0)(1., 2.)\n\n# logarithmic functions too.\ngrad(gammaincln, argnum=0)(1., 2.)\ngrad(gammainccln, argnum=0)(1., 2.)\n\n\n\nfrom autograd_gamma import betainc, betaincln\n\ngrad(betainc, argnum=0)(1., 2., 0.5)\ngrad(betainc, argnum=1)(1., 2., 0.5)\n\n# logarithmic functions too.\ngrad(betaincln, argnum=0)(1., 2., 0.5)\ngrad(betaincln, argnum=1)(1., 2., 0.5)\n\n```\n\n\n# Long-term goal\n\nBuild and improve upon the derivative of the upper and lower incomplete gamma functions. Eventually, if we have a fast analytical solution, we will merge into the autograd library.",
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