 and  \(y_{i}^h=0\) otherwise.
  For \(i\) \(\in\) \(1,\ldots,h\) and
  the weight vectors <b>w^i</b> corresponds to class \(i\).</p>
<p>We set \({\bold{{w}}^{h}} = 0\) and the parameters to be learned are the weight vectors <b>w^i</b>
for \(i\) \(\in\) \(1,\ldots,h-1\) . And the class probabilities must satisfy
$$\sum_{i=1}^{h} P(y_{i}^{h} = 1 | \bold{x}_{\bold{i}}^{h}, \bold{w}) = 1.$$</p>
    </div>

    <div class="section level2">
    <h2 id="ref-examples">Examples<a class="anchor" aria-label=