https://terms-en.ai-term-hub.com/zh/tags/linear-models/Recent content in Linear Models on 中文AI术语词典Hugozh-cnSat, 18 Jul 2026 11:44:45 +0000https://terms-en.ai-term-hub.com/zh/terms/linear_predictor_function/Sat, 18 Jul 2026 11:24:20 +0000https://terms-en.ai-term-hub.com/zh/terms/linear_predictor_function/<h2 id="definition">Definition</h2> <p>在统计建模和机器学习中，线性预测函数表示输入特征的加权和加上偏置项。它是广义线性模型（GLM）的核心组成部分。</p> <h3 id="summary">Summary</h3> <p>一种计算输入变量的线性组合以预测结果的数学函数。</p> <h2 id="key-concepts">Key Concepts</h2> <ul> <li>加权和</li> <li>偏置项</li> <li>广义线性模型</li> <li>特征系数</li> </ul> <h2 id="use-cases">Use Cases</h2> <ul> <li>线性回归分析</li> <li>逻辑回归分类</li> <li>支持向量机（核技巧上下文）</li> </ul> <h2 id="code-example">Code Example</h2> <div class="highlight"><pre tabindex="0" style="color:#f8f8f2;background-color:#272822;-moz-tab-size:4;-o-tab-size:4;tab-size:4;"><code class="language-python" data-lang="python"><span style="display:flex;"><span><span style="color:#f92672">import</span> numpy <span style="color:#66d9ef">as</span> np </span></span><span style="display:flex;"><span>X <span style="color:#f92672">=</span> np<span style="color:#f92672">.</span>array([[<span style="color:#ae81ff">1</span>, <span style="color:#ae81ff">2</span>], [<span style="color:#ae81ff">3</span>, <span style="color:#ae81ff">4</span>]]) </span></span><span style="display:flex;"><span>w <span style="color:#f92672">=</span> np<span style="color:#f92672">.</span>array([<span style="color:#ae81ff">0.5</span>, <span style="color:#ae81ff">1.0</span>]) </span></span><span style="display:flex;"><span>b <span style="color:#f92672">=</span> <span style="color:#ae81ff">0.1</span> </span></span><span style="display:flex;"><span>prediction <span style="color:#f92672">=</span> np<span style="color:#f92672">.</span>dot(X, w) <span style="color:#f92672">+</span> b </span></span></code></pre></div><h2 id="related-terms">Related Terms</h2> <ul> <li><a href="https://terms-en.ai-term-hub.com/en/terms/regression_coefficients-%E5%9B%9E%E5%BD%92%E7%B3%BB%E6%95%B0/">regression_coefficients (回归系数)</a></li> <li><a href="https://terms-en.ai-term-hub.com/en/terms/bias_intercept-%E5%81%8F%E7%BD%AE-%E6%88%AA%E8%B7%9D/">bias_intercept (偏置/截距)</a></li> <li><a href="https://terms-en.ai-term-hub.com/en/terms/feature_engineering-%E7%89%B9%E5%BE%81%E5%B7%A5%E7%A8%8B/">feature_engineering (特征工程)</a></li> <li><a href="https://terms-en.ai-term-hub.com/en/terms/generalized_linear_model-%E5%B9%BF%E4%B9%89%E7%BA%BF%E6%80%A7%E6%A8%A1%E5%9E%8B/">generalized_linear_model (广义线性模型)</a></li> </ul>