<ruby id="bdb3f"></ruby>

    <p id="bdb3f"><cite id="bdb3f"></cite></p>

      <p id="bdb3f"><cite id="bdb3f"><th id="bdb3f"></th></cite></p><p id="bdb3f"></p>
        <p id="bdb3f"><cite id="bdb3f"></cite></p>

          <pre id="bdb3f"></pre>
          <pre id="bdb3f"><del id="bdb3f"><thead id="bdb3f"></thead></del></pre>

          <ruby id="bdb3f"><mark id="bdb3f"></mark></ruby><ruby id="bdb3f"></ruby>
          <pre id="bdb3f"><pre id="bdb3f"><mark id="bdb3f"></mark></pre></pre><output id="bdb3f"></output><p id="bdb3f"></p><p id="bdb3f"></p>

          <pre id="bdb3f"><del id="bdb3f"><progress id="bdb3f"></progress></del></pre>

                <ruby id="bdb3f"></ruby>

                企業??AI智能體構建引擎,智能編排和調試,一鍵部署,支持知識庫和私有化部署方案 廣告
                ## Apriori算法助手 > 基于[Apriori算法](https://baike.baidu.com/item/APRIORI/2000746?fr=aladdin)的頻繁項目集挖掘關聯規則學習。 ### 構造函數參數 * `$support` - 支持的最小閾值,即規則“如果X然后Y”包含X和Y的樣本的比率 * `$confidence` - 最小置信度,即包含X和Y的樣本與包含X的樣本的比率 ``` use Phpml\Association\Apriori; $associator = new Apriori($support = 0.5, $confidence = 0.5); ``` ***** ## 訓練 訓練關聯者只需提供訓練樣本(`$samples`)和標簽(`$labels`)。例: ``` $samples = [['alpha', 'beta', 'epsilon'], ['alpha', 'beta', 'theta'], ['alpha', 'beta', 'epsilon'], ['alpha', 'beta', 'theta']]; $labels = []; use Phpml\Association\Apriori; $associator = new Apriori($support = 0.5, $confidence = 0.5); $associator->train($samples, $labels); ``` 您可以使用多個數據集訓練關聯者,預測將基于所有訓練數據。 ***** ## 預測 預測樣本標簽使用`predict`方法。您可以提供一個樣本或樣本數組: ``` $associator->predict(['alpha','theta']); // return [['beta']] $associator->predict([['alpha','epsilon'],['beta','theta']]); // return [[['beta']], [['alpha']]] ``` ***** ## 關聯 獲取生成的關聯規則只需使用`rules`方法。 ``` $associator->getRules(); // return [['antecedent' => ['alpha', 'theta'], 'consequent' => ['beta'], 'support' => 1.0, 'confidence' => 1.0], ... ] ``` ***** ## 頻繁的項目集 生成k長度頻繁項集只需使用`apriori`方法。 ``` $associator->apriori(); // return [ 1 => [['alpha'], ['beta'], ['theta'], ['epsilon']], 2 => [...], ...] ```
                  <ruby id="bdb3f"></ruby>

                  <p id="bdb3f"><cite id="bdb3f"></cite></p>

                    <p id="bdb3f"><cite id="bdb3f"><th id="bdb3f"></th></cite></p><p id="bdb3f"></p>
                      <p id="bdb3f"><cite id="bdb3f"></cite></p>

                        <pre id="bdb3f"></pre>
                        <pre id="bdb3f"><del id="bdb3f"><thead id="bdb3f"></thead></del></pre>

                        <ruby id="bdb3f"><mark id="bdb3f"></mark></ruby><ruby id="bdb3f"></ruby>
                        <pre id="bdb3f"><pre id="bdb3f"><mark id="bdb3f"></mark></pre></pre><output id="bdb3f"></output><p id="bdb3f"></p><p id="bdb3f"></p>

                        <pre id="bdb3f"><del id="bdb3f"><progress id="bdb3f"></progress></del></pre>

                              <ruby id="bdb3f"></ruby>

                              哎呀哎呀视频在线观看