mirror of
https://github.com/fjosw/pyerrors.git
synced 2025-03-16 15:20:24 +01:00
Documentation updated
This commit is contained in:
parent
d6c7bbd465
commit
cb1120ab0b
1 changed files with 10 additions and 0 deletions
|
@ -1665,6 +1665,11 @@
|
|||
<span class="sd"> '''</span>
|
||||
|
||||
<span class="n">length</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="n">obs</span><span class="p">)</span>
|
||||
|
||||
<span class="n">max_samples</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">max</span><span class="p">([</span><span class="n">o</span><span class="o">.</span><span class="n">N</span> <span class="k">for</span> <span class="n">o</span> <span class="ow">in</span> <span class="n">obs</span><span class="p">])</span>
|
||||
<span class="k">if</span> <span class="n">max_samples</span> <span class="o"><=</span> <span class="n">length</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="sa">f</span><span class="s2">"The dimension of the covariance matrix (</span><span class="si">{</span><span class="n">length</span><span class="si">}</span><span class="s2">) is larger or equal to the number of samples (</span><span class="si">{</span><span class="n">max_samples</span><span class="si">}</span><span class="s2">). This will result in a rank deficient matrix."</span><span class="p">,</span> <span class="ne">RuntimeWarning</span><span class="p">)</span>
|
||||
|
||||
<span class="n">cov</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">((</span><span class="n">length</span><span class="p">,</span> <span class="n">length</span><span class="p">))</span>
|
||||
<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">length</span><span class="p">):</span>
|
||||
<span class="k">for</span> <span class="n">j</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">i</span><span class="p">,</span> <span class="n">length</span><span class="p">):</span>
|
||||
|
@ -4854,6 +4859,11 @@ Second observable</li>
|
|||
<span class="sd"> '''</span>
|
||||
|
||||
<span class="n">length</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="n">obs</span><span class="p">)</span>
|
||||
|
||||
<span class="n">max_samples</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">max</span><span class="p">([</span><span class="n">o</span><span class="o">.</span><span class="n">N</span> <span class="k">for</span> <span class="n">o</span> <span class="ow">in</span> <span class="n">obs</span><span class="p">])</span>
|
||||
<span class="k">if</span> <span class="n">max_samples</span> <span class="o"><=</span> <span class="n">length</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="sa">f</span><span class="s2">"The dimension of the covariance matrix (</span><span class="si">{</span><span class="n">length</span><span class="si">}</span><span class="s2">) is larger or equal to the number of samples (</span><span class="si">{</span><span class="n">max_samples</span><span class="si">}</span><span class="s2">). This will result in a rank deficient matrix."</span><span class="p">,</span> <span class="ne">RuntimeWarning</span><span class="p">)</span>
|
||||
|
||||
<span class="n">cov</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">((</span><span class="n">length</span><span class="p">,</span> <span class="n">length</span><span class="p">))</span>
|
||||
<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">length</span><span class="p">):</span>
|
||||
<span class="k">for</span> <span class="n">j</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">i</span><span class="p">,</span> <span class="n">length</span><span class="p">):</span>
|
||||
|
|
Loading…
Add table
Reference in a new issue