{"id":49024,"date":"2024-12-02T08:57:44","date_gmt":"2024-12-02T00:57:44","guid":{"rendered":"https:\/\/fwq.ai\/blog\/49024\/"},"modified":"2024-12-02T08:57:44","modified_gmt":"2024-12-02T00:57:44","slug":"php-%e4%b8%ad%e7%9a%84%e6%9c%ba%e5%99%a8%e5%ad%a6%e4%b9%a0%ef%bc%9a%e4%bd%bf%e7%94%a8-rubix-ml-%e6%9e%84%e5%bb%ba%e6%96%b0%e9%97%bb%e5%88%86%e7%b1%bb%e5%99%a8","status":"publish","type":"post","link":"https:\/\/fwq.ai\/blog\/49024\/","title":{"rendered":"PHP \u4e2d\u7684\u673a\u5668\u5b66\u4e60\uff1a\u4f7f\u7528 Rubix ML \u6784\u5efa\u65b0\u95fb\u5206\u7c7b\u5668"},"content":{"rendered":"

<\/b> <\/p>\n

PHP \u4e2d\u7684\u673a\u5668\u5b66\u4e60\uff1a\u4f7f\u7528 Rubix ML \u6784\u5efa\u65b0\u95fb\u5206\u7c7b\u5668<\/h1>\n

<\/i>\u6536\u85cf<\/span> <\/p>\n

\u5404\u4f4d\u5c0f\u4f19\u4f34\u4eec\uff0c\u5927\u5bb6\u597d\u5440\uff01\u770b\u770b\u4eca\u5929\u6211\u53c8\u7ed9\u5404\u4f4d\u5e26\u6765\u4e86\u4ec0\u4e48\u6587\u7ae0\uff1f\u672c\u6587\u6807\u9898\u662f<\/span>\u300aPHP \u4e2d\u7684\u673a\u5668\u5b66\u4e60\uff1a\u4f7f\u7528 Rubix ML \u6784\u5efa\u65b0\u95fb\u5206\u7c7b\u5668\u300b<\/span>\uff0c\u5f88\u660e\u663e\u662f\u5173\u4e8e\u6587\u7ae0<\/span>\u7684\u6587\u7ae0\u54c8\u54c8\u54c8\uff0c\u5176\u4e2d\u5185\u5bb9\u4e3b\u8981\u4f1a\u6d89\u53ca\u5230<\/span>\u7b49\u7b49\uff0c\u5982\u679c\u80fd\u5e2e\u5230\u4f60\uff0c\u89c9\u5f97\u5f88\u4e0d\u9519\u7684\u8bdd\uff0c\u6b22\u8fce\u5404\u4f4d\u591a\u591a\u70b9\u8bc4\u548c\u5206\u4eab\uff01<\/span><\/p>\n

\"PHP<\/p>\n

\u4ecb\u7ecd <\/h3>\n

\u673a\u5668\u5b66\u4e60\u65e0\u5904\u4e0d\u5728\u2014\u2014\u63a8\u8350\u7535\u5f71\u3001\u6807\u8bb0\u56fe\u50cf\uff0c\u73b0\u5728\u751a\u81f3\u5bf9\u65b0\u95fb\u6587\u7ae0\u8fdb\u884c\u5206\u7c7b\u3002\u60f3\u8c61\u4e00\u4e0b\u5982\u679c\u60a8\u53ef\u4ee5\u5728 php \u4e2d\u505a\u5230\u8fd9\u4e00\u70b9\uff01\u501f\u52a9 rubix ml<\/strong>\uff0c\u60a8\u53ef\u4ee5\u4ee5\u7b80\u5355\u6613\u61c2\u7684\u65b9\u5f0f\u5c06\u673a\u5668\u5b66\u4e60\u7684\u5f3a\u5927\u529f\u80fd\u5f15\u5165 php\u3002\u672c\u6307\u5357\u5c06\u5f15\u5bfc\u60a8\u6784\u5efa\u4e00\u4e2a\u7b80\u5355\u7684\u65b0\u95fb\u5206\u7c7b\u5668<\/strong>\uff0c\u5c06\u6587\u7ae0\u5206\u7c7b\u4e3a\u201c\u4f53\u80b2\u201d\u6216\u201c\u6280\u672f\u201d\u7b49\u7c7b\u522b\u3002\u6700\u540e\uff0c\u60a8\u5c06\u62e5\u6709\u4e00\u4e2a\u5de5\u4f5c\u5206\u7c7b\u5668\uff0c\u53ef\u4ee5\u6839\u636e\u65b0\u6587\u7ae0\u7684\u5185\u5bb9\u9884\u6d4b\u5176\u7c7b\u522b\u3002<\/p>\n

\u8fd9\u4e2a\u9879\u76ee\u975e\u5e38\u9002\u5408\u60f3\u8981\u4f7f\u7528 php \u8fdb\u884c\u673a\u5668\u5b66\u4e60\u7684\u521d\u5b66\u8005\uff0c\u60a8\u53ef\u4ee5\u6309\u7167 github \u4e0a\u7684\u5b8c\u6574\u4ee3\u7801\u8fdb\u884c\u64cd\u4f5c\u3002<\/p>\n

\u76ee\u5f55 <\/h3>\n
    \n
  1. \u4ec0\u4e48\u662f rubix ml\uff1f<\/li>\n
  2. \u8bbe\u7f6e\u9879\u76ee<\/li>\n
  3. \u521b\u5efa\u65b0\u95fb\u5206\u7c7b\u7c7b<\/li>\n
  4. \u8bad\u7ec3\u6a21\u578b<\/li>\n
  5. \u9884\u6d4b\u65b0\u6837\u672c<\/li>\n
  6. \u6700\u540e\u7684\u60f3\u6cd5<\/li>\n<\/ol>\n

    rubix \u673a\u5668\u5b66\u4e60\u662f\u4ec0\u4e48\uff1f <\/h3>\n

    rubix ml<\/strong> \u662f\u4e00\u4e2a php \u673a\u5668\u5b66\u4e60\u5e93\uff0c\u5b83\u5c06 ml \u5de5\u5177\u548c\u7b97\u6cd5\u5f15\u5165 php \u53cb\u597d\u7684\u73af\u5883\u4e2d\u3002\u65e0\u8bba\u60a8\u4ece\u4e8b\u5206\u7c7b\u3001\u56de\u5f52\u3001\u805a\u7c7b\uff0c\u751a\u81f3\u81ea\u7136\u8bed\u8a00\u5904\u7406\uff0crubix ml \u90fd\u80fd\u6ee1\u8db3\u60a8\u7684\u9700\u6c42\u3002\u5b83\u5141\u8bb8\u60a8\u52a0\u8f7d\u548c\u9884\u5904\u7406\u6570\u636e\u3001\u8bad\u7ec3\u6a21\u578b\u5e76\u8bc4\u4f30\u6027\u80fd\u2014\u2014\u6240\u6709\u8fd9\u4e9b\u90fd\u5728 php \u4e2d\u8fdb\u884c\u3002<\/p>\n

    rubix ml \u652f\u6301\u5e7f\u6cdb\u7684\u673a\u5668\u5b66\u4e60\u4efb\u52a1\uff0c\u4f8b\u5982\uff1a<\/p>\n

      \n
    • \u5206\u7c7b<\/strong>\uff1a\u5bf9\u6570\u636e\u8fdb\u884c\u5206\u7c7b\uff0c\u4f8b\u5982\u5c06\u7535\u5b50\u90ae\u4ef6\u6807\u8bb0\u4e3a\u5783\u573e\u90ae\u4ef6\u6216\u975e\u5783\u573e\u90ae\u4ef6\u3002<\/li>\n
    • \u56de\u5f52<\/strong>\uff1a\u9884\u6d4b\u8fde\u7eed\u503c\uff0c\u4f8b\u5982\u623f\u4ef7\u3002<\/li>\n
    • \u805a\u7c7b<\/strong>\uff1a\u5bf9\u6ca1\u6709\u6807\u7b7e\u7684\u6570\u636e\u8fdb\u884c\u5206\u7ec4\uff0c\u5c31\u50cf\u5bfb\u627e\u5ba2\u6237\u7fa4\u4e00\u6837\u3002<\/li>\n
    • \u81ea\u7136\u8bed\u8a00\u5904\u7406 (nlp)<\/strong>\uff1a\u5904\u7406\u6587\u672c\u6570\u636e\uff0c\u4f8b\u5982\u6807\u8bb0\u5e76\u5c06\u5176\u8f6c\u6362\u4e3a ml \u53ef\u7528\u7684\u683c\u5f0f\u3002<\/li>\n<\/ul>\n

      \u8ba9\u6211\u4eec\u6df1\u5165\u4e86\u89e3\u5982\u4f55\u4f7f\u7528 rubix ml \u5728 php \u4e2d\u6784\u5efa\u7b80\u5355\u7684\u65b0\u95fb\u5206\u7c7b\u5668\uff01<\/p>\n

      \u8bbe\u7f6e\u9879\u76ee <\/h3>\n

      \u6211\u4eec\u5c06\u9996\u5148\u4f7f\u7528 rubix ml \u8bbe\u7f6e\u4e00\u4e2a\u65b0\u7684 php \u9879\u76ee\u5e76\u914d\u7f6e\u81ea\u52a8\u52a0\u8f7d\u3002<\/p>\n

      \u7b2c1\u6b65\uff1a\u521d\u59cb\u5316\u9879\u76ee\u76ee\u5f55 <\/h4>\n

      \u521b\u5efa\u4e00\u4e2a\u65b0\u7684\u9879\u76ee\u76ee\u5f55\u5e76\u5bfc\u822a\u5230\u5176\u4e2d\uff1a<\/p>\n

      mkdir newsclassifier\ncd newsclassifier\n<\/pre>\n
       \u7b2c 2 \u6b65\uff1a\u5b89\u88c5 rubix ml \u548c composer <\/h4>\n
      \u786e\u4fdd\u60a8\u5df2\u5b89\u88c5 composer\uff0c\u7136\u540e\u901a\u8fc7\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\u5c06 rubix ml \u6dfb\u52a0\u5230\u60a8\u7684\u9879\u76ee\u4e2d\uff1a<\/p>\n
      composer require rubix\/ml\n<\/pre>\n
       \u6b65\u9aa43\uff1a\u5728composer.json\u4e2d\u914d\u7f6e\u81ea\u52a8\u52a0\u8f7d <\/h4>\n
      \u8981\u4ece\u9879\u76ee\u7684 src \u76ee\u5f55\u81ea\u52a8\u52a0\u8f7d\u7c7b\uff0c\u8bf7\u6253\u5f00\u6216\u521b\u5efa\u4e00\u4e2acomposer.json \u6587\u4ef6\u5e76\u6dfb\u52a0\u4ee5\u4e0b\u914d\u7f6e\uff1a<\/p>\n
      {\n    \"autoload\": {\n        \"psr-4\": {\n            \"newsclassifier\\\\\": \"src\/\"\n        }\n    },\n    \"require\": {\n        \"rubix\/ml\": \"^2.5\"\n    }\n}\n<\/pre>\n
      \u8fd9\u544a\u8bc9 composer \u81ea\u52a8\u52a0\u8f7d newsclassifier \u547d\u540d\u7a7a\u95f4\u4e0b src \u6587\u4ef6\u5939\u4e2d\u7684\u4efb\u4f55\u7c7b\u3002<\/p>\n
       \u7b2c 4 \u6b65\uff1a\u8fd0\u884c composer autoload dump <\/h4>\n
      \u6dfb\u52a0\u81ea\u52a8\u52a0\u8f7d\u914d\u7f6e\u540e\uff0c\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\u91cd\u65b0\u751f\u6210 composer \u7684\u81ea\u52a8\u52a0\u8f7d\u5668\uff1a<\/p>\n
      composer dump-autoload\n<\/pre>\n
       \u7b2c5\u6b65\uff1a\u76ee\u5f55\u7ed3\u6784 <\/h4>\n
      \u60a8\u7684\u9879\u76ee\u76ee\u5f55\u5e94\u5982\u4e0b\u6240\u793a\uff1a<\/p>\n
      newsclassifier\/\n\u251c\u2500\u2500 src\/\n\u2502   \u251c\u2500\u2500 classification.php\n\u2502   \u2514\u2500\u2500 train.php\n\u251c\u2500\u2500 storage\/\n\u251c\u2500\u2500 vendor\/\n\u251c\u2500\u2500 composer.json\n\u2514\u2500\u2500 composer.lock\n<\/pre>\n
        \n
      •  src\/<\/strong>\uff1a\u5305\u542b\u60a8\u7684 php \u811a\u672c\u3002<\/li>\n
      •  storage\/<\/strong>\uff1a\u8bad\u7ec3\u540e\u7684\u6a21\u578b\u7684\u4fdd\u5b58\u4f4d\u7f6e\u3002<\/li>\n
      •  vendor\/<\/strong>\uff1a\u5305\u542b composer \u5b89\u88c5\u7684\u4f9d\u8d56\u9879\u3002<\/li>\n<\/ul>\n
         \u521b\u5efa\u65b0\u95fb\u5206\u7c7b\u7c7b <\/h3>\n
        \u5728 src\/ \u4e2d\uff0c\u521b\u5efa\u4e00\u4e2a\u540d\u4e3a classification.php \u7684\u6587\u4ef6\u3002\u8be5\u6587\u4ef6\u5c06\u5305\u542b\u8bad\u7ec3\u6a21\u578b\u548c\u9884\u6d4b\u65b0\u95fb\u7c7b\u522b\u7684\u65b9\u6cd5\u3002<\/p>\n
        <?php\n\nnamespace newsclassifier;\n\nuse rubix\\ml\\classifiers\\knearestneighbors;\nuse rubix\\ml\\datasets\\labeled;\nuse rubix\\ml\\datasets\\unlabeled;\nuse rubix\\ml\\persistentmodel;\nuse rubix\\ml\\pipeline;\nuse rubix\\ml\\tokenizers\\word;\nuse rubix\\ml\\transformers\\tfidftransformer;\nuse rubix\\ml\\transformers\\wordcountvectorizer;\nuse rubix\\ml\\persisters\\filesystem;\n\nclass classification\n{\n    private $modelpath;\n\n    public function __construct($modelpath)\n    {\n        $this->modelpath = $modelpath;\n    }\n\n    public function train()\n    {\n        \/\/ sample data and corresponding labels\n        $samples = [\n            ['the team played an amazing game of soccer'],\n            ['the new programming language has been released'],\n            ['the match between the two teams was incredible'],\n            ['the new tech gadget has been launched'],\n        ];\n\n        $labels = [\n            'sports',\n            'technology',\n            'sports',\n            'technology',\n        ];\n\n        \/\/ create a labeled dataset\n        $dataset = new labeled($samples, $labels);\n\n        \/\/ set up the pipeline with a text transformer and k-nearest neighbors classifier\n        $estimator = new pipeline([\n            new wordcountvectorizer(10000, 1, 1, new word()),\n            new tfidftransformer(),\n        ], new knearestneighbors(4));\n\n        \/\/ train the model\n        $estimator->train($dataset);\n\n        \/\/ save the model\n        $this->savemodel($estimator);\n\n        echo \"training completed and model saved.\\n\";\n    }\n\n    private function savemodel($estimator)\n    {\n        $persister = new filesystem($this->modelpath);\n        $model = new persistentmodel($estimator, $persister);\n        $model->save();\n    }\n\n    public function predict(array $samples)\n    {\n        \/\/ load the saved model\n        $persister = new filesystem($this->modelpath);\n        $model = persistentmodel::load($persister);\n\n        \/\/ predict categories for new samples\n        $dataset = new unlabeled($samples);\n        return $model->predict($dataset);\n    }\n}\n<\/pre>\n
        \u6b64\u5206\u7c7b\u7c7b\u5305\u542b\u4ee5\u4e0b\u65b9\u6cd5\uff1a<\/p>\n
          \n
        •  \u8bad\u7ec3<\/strong>\uff1a\u521b\u5efa\u5e76\u8bad\u7ec3\u57fa\u4e8e\u7ba1\u9053\u7684\u6a21\u578b\u3002<\/li>\n
        •  \u4fdd\u5b58\u6a21\u578b<\/strong>\uff1a\u5c06\u8bad\u7ec3\u597d\u7684\u6a21\u578b\u4fdd\u5b58\u5230\u6307\u5b9a\u8def\u5f84<\/li>\n
        •  \u9884\u6d4b<\/strong>\uff1a\u52a0\u8f7d\u4fdd\u5b58\u7684\u6a21\u578b\u5e76\u9884\u6d4b\u65b0\u6837\u672c\u7684\u7c7b\u522b\u3002<\/li>\n<\/ul>\n
           \u8bad\u7ec3\u6a21\u578b <\/h3>\n
          \u5728 src\/ \u4e2d\u521b\u5efa\u4e00\u4e2a\u540d\u4e3a train.php \u7684\u811a\u672c\u6765\u8bad\u7ec3\u6a21\u578b\u3002<\/p>\n
          <?php\n\nrequire __dir__ . '\/..\/vendor\/autoload.php';\n\nuse newsclassifier\\classification;\n\n\/\/ define the model path\n$modelpath = __dir__ . '\/..\/storage\/model.rbx';\n\n\/\/ initialize the classification object\n$classifier = new classification($modelpath);\n\n\/\/ train the model and save it\n$classifier->train();\n<\/pre>\n
          \u8fd0\u884c\u6b64\u811a\u672c\u6765\u8bad\u7ec3\u6a21\u578b\uff1a<\/p>\n
          php src\/train.php\n<\/pre>\n
          \u5982\u679c\u6210\u529f\uff0c\u60a8\u5c06\u770b\u5230\uff1a<\/p>\n
          training completed and model saved.\n<\/pre>\n
           \u9884\u6d4b\u65b0\u6837\u672c <\/h3>\n
          \u5728 src\/ \u4e2d\u521b\u5efa\u53e6\u4e00\u4e2a\u811a\u672c\uff0cpredict.php\uff0c\u6839\u636e\u8bad\u7ec3\u7684\u6a21\u578b\u5bf9\u65b0\u6587\u7ae0\u8fdb\u884c\u5206\u7c7b\u3002<\/p>\n
          <?php\n\nrequire __dir__ . '\/..\/vendor\/autoload.php';\n\nuse newsclassifier\\classification;\n\n\/\/ define the path to the saved model\n$modelpath = __dir__ . '\/..\/storage\/model.rbx';\n\n\/\/ initialize the classification object\n$classifier = new classification($modelpath);\n\n\/\/ define new samples for classification\n$samples = [\n    ['the team played an amazing game of soccer, showing excellent teamwork and strategy.'],\n    ['the latest programming language release introduces features that enhance coding efficiency.'],\n    ['an incredible match between two top teams ended in a thrilling draw last night.'],\n    ['this new tech gadget includes features never before seen, setting a new standard in the industry.'],\n];\n\n\/\/ predict categories\n$predictions = $classifier->predict($samples);\n\n\/\/ display predictions\nforeach ($predictions as $index => $prediction) {\n    echo \"sample: \" . $samples[$index][0] . \"\\n\";\n    echo \"prediction: \" . $prediction . \"\\n\\n\";\n}\n<\/pre>\n
          \u8fd0\u884c\u9884\u6d4b\u811a\u672c\u5bf9\u6837\u672c\u8fdb\u884c\u5206\u7c7b\uff1a<\/p>\n
          php src\/predict.php\n<\/pre>\n
          \u8f93\u51fa\u5e94\u663e\u793a\u6bcf\u4e2a\u793a\u4f8b\u6587\u672c\u53ca\u5176\u9884\u6d4b\u7c7b\u522b\u3002<\/p>\n
           \u6700\u540e\u7684\u60f3\u6cd5 <\/h3>\n
          \u901a\u8fc7\u672c\u6307\u5357\uff0c\u60a8\u5df2\u7ecf\u4f7f\u7528 rubix ml \u5728 php \u4e2d\u6210\u529f\u6784\u5efa\u4e86\u4e00\u4e2a\u7b80\u5355\u7684\u65b0\u95fb\u5206\u7c7b\u5668\uff01\u8fd9\u5c55\u793a\u4e86 php \u5982\u4f55\u6bd4\u60a8\u60f3\u8c61\u7684\u66f4\u52a0\u901a\u7528\uff0c\u4e3a\u6587\u672c\u5206\u7c7b\u3001\u63a8\u8350\u7cfb\u7edf\u7b49\u4efb\u52a1\u5f15\u5165\u673a\u5668\u5b66\u4e60\u529f\u80fd\u3002\u8be5\u9879\u76ee\u7684\u5b8c\u6574\u4ee3\u7801\u53ef\u5728 github \u4e0a\u83b7\u53d6\u3002<\/p>\n
          \u5c1d\u8bd5\u4e0d\u540c\u7684\u7b97\u6cd5\u6216\u6570\u636e\u6765\u6269\u5c55\u5206\u7c7b\u5668\u3002\u8c01\u77e5\u9053 php \u53ef\u4ee5\u8fdb\u884c\u673a\u5668\u5b66\u4e60\uff1f\u73b0\u5728\u4f60\u77e5\u9053\u4e86\u3002
           \u5feb\u4e50\u7f16\u7801\uff01<\/p>\n
          \u4eca\u5929\u5173\u4e8e\u300aPHP \u4e2d\u7684\u673a\u5668\u5b66\u4e60\uff1a\u4f7f\u7528 Rubix ML \u6784\u5efa\u65b0\u95fb\u5206\u7c7b\u5668\u300b\u7684\u5185\u5bb9\u5c31\u4ecb\u7ecd\u5230\u8fd9\u91cc\u4e86\uff0c\u662f\u4e0d\u662f\u5b66\u8d77\u6765\u4e00\u76ee\u4e86\u7136\uff01\u60f3\u8981\u4e86\u89e3\u66f4\u591a\u5173\u4e8e\u7684\u5185\u5bb9\u8bf7\u5173\u6ce8\u7c73\u4e91\u516c\u4f17\u53f7\uff01<\/p>\n
           \u7248\u672c\u58f0\u660e \u672c\u6587\u8f6c\u8f7d\u4e8e\uff1adev.to \u5982\u6709\u4fb5\u72af\uff0c\u8bf7\u8054\u7cfb \u5220\u9664<\/p>\n","protected":false},"excerpt":{"rendered":"
          PHP \u4e2d\u7684\u673a\u5668\u5b66\u4e60\uff1a\u4f7f\u7528 Rubix ML \u6784\u5efa\u65b0\u95fb\u5206\u7c7b\u5668 \u6536\u85cf \u5404\u4f4d\u5c0f\u4f19\u4f34\u4eec\uff0c\u5927\u5bb6\u597d\u5440\uff01\u770b\u770b\u4eca\u5929\u6211\u53c8\u7ed9\u5404\u4f4d\u5e26\u6765\u4e86\u4ec0\u4e48\u6587\u7ae0\uff1f\u672c\u6587\u6807\u9898\u662f\u300aPHP \u4e2d\u7684\u673a\u5668\u5b66\u4e60\uff1a\u4f7f\u7528 Rubix ML \u6784\u5efa\u65b0\u95fb\u5206\u7c7b\u5668\u300b\uff0c\u5f88\u660e\u663e\u662f\u5173\u4e8e\u6587\u7ae0\u7684\u6587\u7ae0\u54c8\u54c8\u54c8\uff0c\u5176\u4e2d\u5185\u5bb9\u4e3b\u8981\u4f1a\u6d89\u53ca\u5230\u7b49\u7b49\uff0c\u5982\u679c\u80fd\u5e2e\u5230\u4f60\uff0c\u89c9\u5f97\u5f88\u4e0d\u9519\u7684\u8bdd\uff0c\u6b22\u8fce\u5404\u4f4d\u591a\u591a\u70b9\u8bc4\u548c\u5206\u4eab\uff01 \u4ecb\u7ecd \u673a\u5668\u5b66\u4e60\u65e0\u5904\u4e0d\u5728\u2014\u2014\u63a8\u8350\u7535\u5f71\u3001\u6807\u8bb0\u56fe\u50cf\uff0c\u73b0\u5728\u751a\u81f3\u5bf9\u65b0\u95fb\u6587\u7ae0\u8fdb\u884c\u5206\u7c7b\u3002\u60f3\u8c61\u4e00\u4e0b\u5982\u679c\u60a8\u53ef\u4ee5\u5728 php \u4e2d\u505a\u5230\u8fd9\u4e00\u70b9\uff01\u501f\u52a9 rubix ml\uff0c\u60a8\u53ef\u4ee5\u4ee5\u7b80\u5355\u6613\u61c2\u7684\u65b9\u5f0f\u5c06\u673a\u5668\u5b66\u4e60\u7684\u5f3a\u5927\u529f\u80fd\u5f15\u5165 php\u3002\u672c\u6307\u5357\u5c06\u5f15\u5bfc\u60a8\u6784\u5efa\u4e00\u4e2a\u7b80\u5355\u7684\u65b0\u95fb\u5206\u7c7b\u5668\uff0c\u5c06\u6587\u7ae0\u5206\u7c7b\u4e3a\u201c\u4f53\u80b2\u201d\u6216\u201c\u6280\u672f\u201d\u7b49\u7c7b\u522b\u3002\u6700\u540e\uff0c\u60a8\u5c06\u62e5\u6709\u4e00\u4e2a\u5de5\u4f5c\u5206\u7c7b\u5668\uff0c\u53ef\u4ee5\u6839\u636e\u65b0\u6587\u7ae0\u7684\u5185\u5bb9\u9884\u6d4b\u5176\u7c7b\u522b\u3002 \u8fd9\u4e2a\u9879\u76ee\u975e\u5e38\u9002\u5408\u60f3\u8981\u4f7f\u7528 php \u8fdb\u884c\u673a\u5668\u5b66\u4e60\u7684\u521d\u5b66\u8005\uff0c\u60a8\u53ef\u4ee5\u6309\u7167 github \u4e0a\u7684\u5b8c\u6574\u4ee3\u7801\u8fdb\u884c\u64cd\u4f5c\u3002 \u76ee\u5f55 \u4ec0\u4e48\u662f rubix ml\uff1f \u8bbe\u7f6e\u9879\u76ee \u521b\u5efa\u65b0\u95fb\u5206\u7c7b\u7c7b \u8bad\u7ec3\u6a21\u578b \u9884\u6d4b\u65b0\u6837\u672c \u6700\u540e\u7684\u60f3\u6cd5 rubix \u673a\u5668\u5b66\u4e60\u662f\u4ec0\u4e48\uff1f rubix ml \u662f\u4e00\u4e2a php \u673a\u5668\u5b66\u4e60\u5e93\uff0c\u5b83\u5c06 ml \u5de5\u5177\u548c\u7b97\u6cd5\u5f15\u5165 php \u53cb\u597d\u7684\u73af\u5883\u4e2d\u3002\u65e0\u8bba\u60a8\u4ece\u4e8b\u5206\u7c7b\u3001\u56de\u5f52\u3001\u805a\u7c7b\uff0c\u751a\u81f3\u81ea\u7136\u8bed\u8a00\u5904\u7406\uff0crubix ml \u90fd\u80fd\u6ee1\u8db3\u60a8\u7684\u9700\u6c42\u3002\u5b83\u5141\u8bb8\u60a8\u52a0\u8f7d\u548c\u9884\u5904\u7406\u6570\u636e\u3001\u8bad\u7ec3\u6a21\u578b\u5e76\u8bc4\u4f30\u6027\u80fd\u2014\u2014\u6240\u6709\u8fd9\u4e9b\u90fd\u5728 php \u4e2d\u8fdb\u884c\u3002 rubix ml \u652f\u6301\u5e7f\u6cdb\u7684\u673a\u5668\u5b66\u4e60\u4efb\u52a1\uff0c\u4f8b\u5982\uff1a \u5206\u7c7b\uff1a\u5bf9\u6570\u636e\u8fdb\u884c\u5206\u7c7b\uff0c\u4f8b\u5982\u5c06\u7535\u5b50\u90ae\u4ef6\u6807\u8bb0\u4e3a\u5783\u573e\u90ae\u4ef6\u6216\u975e\u5783\u573e\u90ae\u4ef6\u3002 \u56de\u5f52\uff1a\u9884\u6d4b\u8fde\u7eed\u503c\uff0c\u4f8b\u5982\u623f\u4ef7\u3002 \u805a\u7c7b\uff1a\u5bf9\u6ca1\u6709\u6807\u7b7e\u7684\u6570\u636e\u8fdb\u884c\u5206\u7ec4\uff0c\u5c31\u50cf\u5bfb\u627e\u5ba2\u6237\u7fa4\u4e00\u6837\u3002 \u81ea\u7136\u8bed\u8a00\u5904\u7406 (nlp)\uff1a\u5904\u7406\u6587\u672c\u6570\u636e\uff0c\u4f8b\u5982\u6807\u8bb0\u5e76\u5c06\u5176\u8f6c\u6362\u4e3a […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[16],"tags":[],"class_list":["post-49024","post","type-post","status-publish","format-standard","hentry","category-16"],"_links":{"self":[{"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/posts\/49024","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/comments?post=49024"}],"version-history":[{"count":0,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/posts\/49024\/revisions"}],"wp:attachment":[{"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/media?parent=49024"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/categories?post=49024"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/tags?post=49024"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}