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