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53 lines
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HTML
53 lines
2.0 KiB
HTML
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" "http://www.w3.org/TR/html4/loose.dtd">
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<html>
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<head>
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<meta http-equiv="content-type" content="text/html; charset=UTF-8">
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<title>打算训练数据，使顺序随机。</title>
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</head>
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<body class="docs"><div id="layout">
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<div id="layout-content"><div id="function.fann-shuffle-train-data" class="refentry">
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<div class="refnamediv">
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<h1 class="refname">fann_shuffle_train_data</h1>
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<p class="verinfo">(PECL fann >= 1.0.0)</p><p class="refpurpose"><span class="refname">fann_shuffle_train_data</span> — <span class="dc-title">打算训练数据，使顺序随机。</span></p>
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</div>
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<div class="refsect1 description" id="refsect1-function.fann-shuffle-train-data-description">
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<h3 class="title">说明</h3>
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<div class="methodsynopsis dc-description">
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<span class="methodname"><strong>fann_shuffle_train_data</strong></span>
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( <span class="methodparam"><span class="type">resource</span> <code class="parameter">$train_data</code></span>
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) : <span class="type">bool</span></div>
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<p class="para rdfs-comment">
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打算训练数据，使顺序随机。 增量训练时推荐使用，但是批训练时并没有什么明显的效果。
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</p>
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</div>
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<div class="refsect1 parameters" id="refsect1-function.fann-shuffle-train-data-parameters">
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<h3 class="title">参数</h3>
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<dl>
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<dt>
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<code class="parameter">train_data</code></dt>
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<dd>
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<p class="para">Neural network training data <span class="type"><a href="language.types.resource.html" class="type resource">resource</a></span>.</p>
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</dd>
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</dl>
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</div>
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<div class="refsect1 returnvalues" id="refsect1-function.fann-shuffle-train-data-returnvalues">
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<h3 class="title">返回值</h3>
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<p class="para">Returns <strong><code>TRUE</code></strong> on success, or <strong><code>FALSE</code></strong> otherwise.</p>
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</div>
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</div></div></div></body></html> |