input data samples.</p>
<h2><a class="header" href="#-cc" id="-cc">üöÄ C/C++</a></h2>
<p>You can use the <code>neonrvm_predict</code> function to make predictions.</p>
<pre><code class="language-C">int neonrvm_predict(double* phi, double* mu,
                    size_t sample_count, size_t basis_count, double* y)
</code></pre>
<p>‚û°Ô∏è <em>Parameters</em></p>
<ul>
<li>‚¨áÔ∏è <code>[in] phi</code>: Column major matrix, with row count equivalent to the
<em>sample_count</em>, and column 