Update example.

Author: lawrennd

_examples/osu-run1-bgplvm.html

@@ -94,7 +94,7 @@ <h2 id="osu-run-1-motion-capture-data-with-bayesian-gp-lvm">OSU Run 1 Motion Cap
 <span id="cb11-2"><a href="#cb11-2" aria-hidden="true" tabindex="-1"></a><span class="im">from</span> GPy.models <span class="im">import</span> BayesianGPLVM</span>
 <span id="cb11-3"><a href="#cb11-3" aria-hidden="true" tabindex="-1"></a><span class="im">import</span> numpy <span class="im">as</span> np</span></code></pre></div>
 <div class="sourceCode" id="cb12"><pre class="sourceCode python"><code class="sourceCode python"><span id="cb12-1"><a href="#cb12-1" aria-hidden="true" tabindex="-1"></a>q <span class="op">=</span> <span class="dv">6</span></span>
-<span id="cb12-2"><a href="#cb12-2" aria-hidden="true" tabindex="-1"></a>kernel <span class="op">=</span> GPy.kern.RBF(Q, lengthscale<span class="op">=</span>np.repeat(<span class="fl">.5</span>, q), ARD<span class="op">=</span><span class="va">True</span>)</span>
+<span id="cb12-2"><a href="#cb12-2" aria-hidden="true" tabindex="-1"></a>kernel <span class="op">=</span> GPy.kern.RBF(q, lengthscale<span class="op">=</span>np.repeat(<span class="fl">.5</span>, q), ARD<span class="op">=</span><span class="va">True</span>)</span>
 <span id="cb12-3"><a href="#cb12-3" aria-hidden="true" tabindex="-1"></a>model <span class="op">=</span> BayesianGPLVM(data[<span class="st">&#39;Y&#39;</span>], q,</span>
 <span id="cb12-4"><a href="#cb12-4" aria-hidden="true" tabindex="-1"></a>                      init<span class="op">=</span><span class="st">&quot;PCA&quot;</span>,</span>
 <span id="cb12-5"><a href="#cb12-5" aria-hidden="true" tabindex="-1"></a>                      num_inducing<span class="op">=</span><span class="dv">20</span>, kernel<span class="op">=</span>kernel)</span>

_notebooks/osu-run1-bgplvm.ipynb

@@ -330,7 +330,7 @@
    "outputs": [],
    "source": [
     "q = 6\n",
-    "kernel = GPy.kern.RBF(Q, lengthscale=np.repeat(.5, q), ARD=True)\n",
+    "kernel = GPy.kern.RBF(q, lengthscale=np.repeat(.5, q), ARD=True)\n",
     "model = BayesianGPLVM(data['Y'], q,\n",
     "                      init=\"PCA\",\n",
     "                      num_inducing=20, kernel=kernel)\n",