Merge pull request #232 from Nixtla/np_torch_losses_unittests

Added unit tests for numpy and pytorch losses
Nixtla · Apr 21, 2022 · b9e4063 · b9e4063
2 parents e39dfbb + 5d78c58
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diff --git a/docs/data__tsdataset.html b/docs/data__tsdataset.html
@@ -731,33 +731,6 @@ <h3 id="Example-and-test-for-datasets-with-two-time-series">Example and test for
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diff --git a/docs/data_datasets__epf.html b/docs/data_datasets__epf.html
@@ -507,7 +507,7 @@ <h2 id="Load-all-groups">Load all groups<a class="anchor-link" href="#Load-all-g
 
 <span class="n">x2_plot</span><span class="p">[</span><span class="o">-</span><span class="mi">728</span><span class="o">*</span><span class="mi">24</span><span class="o">-</span><span class="mi">60</span><span class="p">:</span><span class="o">-</span><span class="mi">728</span><span class="o">*</span><span class="mi">24</span><span class="o">+</span><span class="mi">60</span><span class="p">]</span> <span class="o">=</span> <span class="p">[</span><span class="n">np</span><span class="o">.</span><span class="n">nan</span><span class="p">]</span> <span class="o">*</span> <span class="mi">60</span> <span class="o">*</span> <span class="mi">2</span> <span class="c1"># mini hack</span>
 <span class="n">axs</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">x_plot</span><span class="p">,</span> <span class="n">x2_plot</span><span class="o">/</span><span class="mi">1000</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">&#39;#628793&#39;</span><span class="p">,</span> <span class="n">linewidth</span><span class="o">=</span><span class="mf">0.37</span><span class="p">,</span> <span class="n">alpha</span><span class="o">=</span><span class="mf">0.8</span><span class="p">)</span>
-<span class="n">axs</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span><span class="o">.</span><span class="n">vlines</span><span class="p">(</span><span class="n">x_plot</span><span class="p">[</span><span class="o">-</span><span class="mi">728</span><span class="o">*</span><span class="mi">24</span><span class="p">],</span><span class="o">-</span><span class="mf">.2</span><span class="p">,</span><span class="mf">5.2</span><span class="p">,</span> <span class="n">linestyle</span><span class="o">=</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="p">(</span><span class="mi">5</span><span class="p">,</span> <span class="mi">10</span><span class="p">)),</span> 
+<span class="n">axs</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span><span class="o">.</span><span class="n">vlines</span><span class="p">(</span><span class="n">x_plot</span><span class="p">[</span><span class="o">-</span><span class="mi">728</span><span class="o">*</span><span class="mi">24</span><span class="p">],</span><span class="o">-.</span><span class="mi">2</span><span class="p">,</span><span class="mf">5.2</span><span class="p">,</span> <span class="n">linestyle</span><span class="o">=</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="p">(</span><span class="mi">5</span><span class="p">,</span> <span class="mi">10</span><span class="p">)),</span> 
               <span class="n">color</span><span class="o">=</span><span class="s1">&#39;black&#39;</span><span class="p">,</span> <span class="n">linewidth</span><span class="o">=</span><span class="mf">1.9</span><span class="p">)</span>
 <span class="n">axs</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span><span class="o">.</span><span class="n">tick_params</span><span class="p">(</span><span class="n">labelsize</span><span class="o">=</span><span class="n">FONTSIZE</span><span class="o">-</span><span class="mi">2</span><span class="p">)</span>
 <span class="n">axs</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="n">x_axis_str</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="n">FONTSIZE</span><span class="p">)</span>

diff --git a/docs/data_datasets__gefcom2012.html b/docs/data_datasets__gefcom2012.html
@@ -37,7 +37,7 @@
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 <div class=" highlight hl-ipython3"><pre><span></span><span class="o">%%html</span>
-<span class="p">&lt;</span><span class="nt">style</span><span class="p">&gt;</span><span class="w"> </span><span class="nt">table</span><span class="w"> </span><span class="p">{</span><span class="k">float</span><span class="p">:</span><span class="kc">left</span><span class="p">}</span><span class="w"> </span><span class="p">&lt;/</span><span class="nt">style</span><span class="p">&gt;</span>
+<span class="p">&lt;</span><span class="nt">style</span><span class="p">&gt;</span> <span class="nt">table</span> <span class="p">{</span><span class="k">float</span><span class="p">:</span><span class="kc">left</span><span class="p">}</span> <span class="p">&lt;/</span><span class="nt">style</span><span class="p">&gt;</span>
 </pre></div>
 
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