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-rw-r--r--silx/math/fit/fittheory.py8
1 files changed, 4 insertions, 4 deletions
diff --git a/silx/math/fit/fittheory.py b/silx/math/fit/fittheory.py
index 17441ac..fa42e6b 100644
--- a/silx/math/fit/fittheory.py
+++ b/silx/math/fit/fittheory.py
@@ -1,7 +1,7 @@
# coding: utf-8
#/*##########################################################################
#
-# Copyright (c) 2004-2016 European Synchrotron Radiation Facility
+# Copyright (c) 2004-2018 European Synchrotron Radiation Facility
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
@@ -69,13 +69,13 @@ class FitTheory(object):
signature, as explained in the documentation for :attr:`function`.
"""
self.function = function
- """Regular fit functions must have the signature *f(x, \*params) -> y*,
+ """Regular fit functions must have the signature ``f(x, *params) -> y``,
where *x* is a 1D array of values for the independent variable,
*params* are the parameters to be fitted and *y* is the output array
that we want to have the best fit to a series of data points.
Background functions used by :class:`FitManager` must have a slightly
- different signature: *f(x, y0, \*params) -> bg*, where *y0* is the
+ different signature: ``f(x, y0, *params) -> bg``, where *y0* is the
array of original data points and *bg* is the background signal that
we want to subtract from the data array prior to fitting the regular
fit function.
@@ -149,7 +149,7 @@ class FitTheory(object):
A background function is an secondary function that needs to be added
to the main fit function to better fit the original data.
If this flag is set to *True*, modules using this theory are informed
- that :attr:`function` has the signature *f(x, y0, \*params) -> bg*,
+ that :attr:`function` has the signature ``f(x, y0, *params) -> bg``,
instead of the usual fit function signature."""
def default_estimate(self, x=None, y=None, bg=None):