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Implementation of the log-uniform and modified log-uniform distributions

Project description

A simple implementation of the log-uniform and modified log-uniform distributions.

License MIT Travis build PyPI version

How to use

Install it from pip (LogUniform only depends on numpy)

pip install LogUniform

and it’s ready to use from Python

import loguniform

LogUniform comes with two simple classes, LogUniform and ModifiedLogUniform. They are intended to mimic the API of scipy.stats (actually, the log-uniform distribution is already implemented in scipy.stats.reciprocal; the two implementations are compatible).

from loguniform import LogUniform, ModifiedLogUniform

d1 = LogUniform(a=1, b=1000)
d2 = ModifiedLogUniform(knee=1, b=1000)

both distributions d1 and d2 now have methods

  • pdf(x) and logpdf(x): the probability density function and its logarithm
  • cdf(x): cumulative density function
  • ppf(x): percent point function (inverse of cdf)
  • rvs(size): draw random samples from the distribution
  • support(): support of the distribution

License

Copyright 2021 João Faria.

LogUniform is free software made available under the MIT License. For details see the LICENSE file.

Project details


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Files for LogUniform, version 2.0.0
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