<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Streaming on 中文AI术语词典</title><link>https://terms-en.ai-term-hub.com/zh/tags/streaming/</link><description>Recent content in Streaming on 中文AI术语词典</description><generator>Hugo</generator><language>zh-cn</language><lastBuildDate>Sat, 18 Jul 2026 11:44:45 +0000</lastBuildDate><atom:link href="https://terms-en.ai-term-hub.com/zh/tags/streaming/index.xml" rel="self" type="application/rss+xml"/><item><title>在线</title><link>https://terms-en.ai-term-hub.com/zh/terms/online/</link><pubDate>Sat, 18 Jul 2026 10:53:26 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/zh/terms/online/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>在线学习是一种机器学习范式，模型随着新数据点的到达而增量更新，而不是一次性在静态批量数据上进行训练。这种方法至关重要&lt;/p>
&lt;h3 id="summary">Summary&lt;/h3>
&lt;p>指机器学习模型能够从新数据流中实时持续学习，而无需从头重新训练。&lt;/p>
&lt;h2 id="key-concepts">Key Concepts&lt;/h2>
&lt;ul>
&lt;li>增量学习&lt;/li>
&lt;li>流式数据&lt;/li>
&lt;li>实时适应&lt;/li>
&lt;li>批量与在线&lt;/li>
&lt;/ul>
&lt;h2 id="use-cases">Use Cases&lt;/h2>
&lt;ul>
&lt;li>实时欺诈检测&lt;/li>
&lt;li>股票价格预测&lt;/li>
&lt;li>个性化推荐系统&lt;/li>
&lt;/ul>
&lt;h2 id="code-example">Code Example&lt;/h2>
&lt;div class="highlight">&lt;pre tabindex="0" style="color:#f8f8f2;background-color:#272822;-moz-tab-size:4;-o-tab-size:4;tab-size:4;">&lt;code class="language-python" data-lang="python">&lt;span style="display:flex;">&lt;span>&lt;span style="color:#f92672">from&lt;/span> sklearn.linear_model &lt;span style="color:#f92672">import&lt;/span> SGDClassifier
&lt;/span>&lt;/span>&lt;span style="display:flex;">&lt;span>model &lt;span style="color:#f92672">=&lt;/span> SGDClassifier()
&lt;/span>&lt;/span>&lt;span style="display:flex;">&lt;span>&lt;span style="color:#75715e"># Simulate online learning with partial_fit&lt;/span>
&lt;/span>&lt;/span>&lt;span style="display:flex;">&lt;span>model&lt;span style="color:#f92672">.&lt;/span>partial_fit(X_batch, y_batch, classes&lt;span style="color:#f92672">=&lt;/span>[&lt;span style="color:#ae81ff">0&lt;/span>, &lt;span style="color:#ae81ff">1&lt;/span>])
&lt;/span>&lt;/span>&lt;/code>&lt;/pre>&lt;/div>&lt;h2 id="related-terms">Related Terms&lt;/h2>
&lt;ul>
&lt;li>&lt;a href="https://terms-en.ai-term-hub.com/en/terms/streaming_data-%E6%B5%81%E5%BC%8F%E6%95%B0%E6%8D%AE/">streaming_data (流式数据)&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://terms-en.ai-term-hub.com/en/terms/incremental_learning-%E5%A2%9E%E9%87%8F%E5%AD%A6%E4%B9%A0/">incremental_learning (增量学习)&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://terms-en.ai-term-hub.com/en/terms/real_time_processing-%E5%AE%9E%E6%97%B6%E5%A4%84%E7%90%86/">real_time_processing (实时处理)&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://terms-en.ai-term-hub.com/en/terms/batch_learning-%E6%89%B9%E9%87%8F%E5%AD%A6%E4%B9%A0/">batch_learning (批量学习)&lt;/a>&lt;/li>
&lt;/ul></description></item></channel></rss>