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fjosw 2021-11-15 17:27:38 +00:00
parent aa891ad3d0
commit 6a625d2b75
2 changed files with 2 additions and 11 deletions
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11
docs/pyerrors/fits.html
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@ -204,8 +204,6 @@
<span class="sd"> priors has to be a list with an entry for every parameter in the fit. The entries can either be</span>
<span class="sd"> Obs (e.g. results from a previous fit) or strings containing a value and an error formatted like</span>
<span class="sd"> 0.548(23), 500(40) or 0.5(0.4)</span>
<span class="sd"> It is important for the subsequent error estimation that the e_tag for the gamma method is large</span>
<span class="sd"> enough.</span>
<span class="sd"> silent : bool, optional</span>
<span class="sd"> If true all output to the console is omitted (default False).</span>
<span class="sd"> initial_guess : list</span>
@ -439,9 +437,6 @@
<span class="n">output</span><span class="o">.</span><span class="n">fit_function</span> <span class="o">=</span> <span class="n">func</span>
<span class="k">if</span> <span class="n">Obs</span><span class="o">.</span><span class="n">e_tag_global</span> <span class="o">&lt;</span> <span class="mi">4</span><span class="p">:</span>
<span class="n">warnings</span><span class="o">.</span><span class="n">warn</span><span class="p">(</span><span class="s2">&quot;e_tag_global is smaller than 4, this can cause problems when calculating errors from fits with priors&quot;</span><span class="p">,</span> <span class="ne">RuntimeWarning</span><span class="p">)</span>
<span class="n">x</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">x</span><span class="p">)</span>
<span class="k">if</span> <span class="ow">not</span> <span class="n">callable</span><span class="p">(</span><span class="n">func</span><span class="p">):</span>
@ -1172,8 +1167,6 @@ also accessible via indices.</li>
<span class="sd"> priors has to be a list with an entry for every parameter in the fit. The entries can either be</span>
<span class="sd"> Obs (e.g. results from a previous fit) or strings containing a value and an error formatted like</span>
<span class="sd"> 0.548(23), 500(40) or 0.5(0.4)</span>
<span class="sd"> It is important for the subsequent error estimation that the e_tag for the gamma method is large</span>
<span class="sd"> enough.</span>
<span class="sd"> silent : bool, optional</span>
<span class="sd"> If true all output to the console is omitted (default False).</span>
<span class="sd"> initial_guess : list</span>
@ -1236,9 +1229,7 @@ will not work</p></li>
<li><strong>priors</strong> (list, optional):
priors has to be a list with an entry for every parameter in the fit. The entries can either be
Obs (e.g. results from a previous fit) or strings containing a value and an error formatted like
0.548(23), 500(40) or 0.5(0.4)
It is important for the subsequent error estimation that the e_tag for the gamma method is large
enough.</li>
0.548(23), 500(40) or 0.5(0.4)</li>
<li><strong>silent</strong> (bool, optional):
If true all output to the console is omitted (default False).</li>
<li><strong>initial_guess</strong> (list):

2
docs/search.js
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