From 53b11855641f7749620663eb06c592c7002dace6 Mon Sep 17 00:00:00 2001
From: Matthew Pitkin <matthew.pitkin@ligo.org>
Date: Thu, 2 Aug 2018 10:37:26 +0100
Subject: [PATCH] likelihood.py: rename function to func in Poission likelihood
- refs Monash/tupak!132
---
tupak/core/likelihood.py | 8 ++++----
1 file changed, 4 insertions(+), 4 deletions(-)
diff --git a/tupak/core/likelihood.py b/tupak/core/likelihood.py
index 9a6ed01bd..95ff85a2a 100644
--- a/tupak/core/likelihood.py
+++ b/tupak/core/likelihood.py
@@ -112,7 +112,7 @@ class GaussianLikelihood(Likelihood):
class PoissonLikelihood(Likelihood):
- def __init__(self, x, function):
+ def __init__(self, x, func):
"""
A general Poisson likelihood for a rate - the model parameters are
inferred from the arguments of function, which provides a rate.
@@ -125,13 +125,13 @@ class PoissonLikelihood(Likelihood):
x: array_like
The data to analyse - this must be a set of non-negative integers,
each being the number of events within some interval.
- function:
+ func:
The python function providing the rate of events per interval to
fit to the data. The arguments will require priors and will be
sampled over (unless a fixed value is given).
"""
- parameters = self._infer_parameters_from_function(function)
+ parameters = self._infer_parameters_from_function(func)
Likelihood.__init__(self, dict.fromkeys(parameters))
self.x = x
@@ -150,7 +150,7 @@ class PoissonLikelihood(Likelihood):
# save sum of log factorial of counts
self.sumlogfactorial = np.sum(gammaln(self.x + 1))
- self.function = function
+ self.function = func
# Check if sigma was provided, if not it is a parameter
self.function_keys = list(self.parameters.keys())
--
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