{"id":6059,"date":"2024-05-29T10:15:19","date_gmt":"2024-05-29T02:15:19","guid":{"rendered":"https:\/\/t.n-years.com\/?p=6059"},"modified":"2024-05-29T10:15:20","modified_gmt":"2024-05-29T02:15:20","slug":"sklearn-%e5%92%8c-pytorch-%e9%87%8d%e5%8f%a0%e5%8a%9f%e8%83%bd%e5%92%8c%e4%be%a7%e9%87%8d%e7%82%b9","status":"publish","type":"post","link":"https:\/\/t.n-years.com\/?p=6059","title":{"rendered":"sklearn \u548c PyTorch \u91cd\u53e0\u529f\u80fd\u548c\u4fa7\u91cd\u70b9"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">ChatGPT \u751f\u6210\uff0c\u975e\u539f\u521b<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Scikit-learn \u548c PyTorch \u662f\u4e24\u4e2a\u7528\u4e8e\u673a\u5668\u5b66\u4e60\u548c\u6df1\u5ea6\u5b66\u4e60\u7684\u6d41\u884c Python \u5e93\uff0c\u5b83\u4eec\u786e\u5b9e\u6709\u4e00\u4e9b\u91cd\u53e0\u7684\u529f\u80fd\uff0c\u4f46\u5b83\u4eec\u7684\u4e3b\u8981\u7528\u9014\u548c\u76ee\u6807\u7528\u6237\u6709\u6240\u4e0d\u540c\u3002\u4ee5\u4e0b\u662f\u5b83\u4eec\u7684\u529f\u80fd\u91cd\u53e0\u548c\u533a\u522b\u7684\u8be6\u7ec6\u4ecb\u7ecd\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\u529f\u80fd\u91cd\u53e0<\/h3>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>\u6a21\u578b\u8bad\u7ec3<\/strong>\uff1a<\/li>\n<\/ol>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Scikit-learn<\/strong>\uff1a\u63d0\u4f9b\u4e86\u5e7f\u6cdb\u7684\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\uff0c\u5305\u62ec\u5206\u7c7b\u3001\u56de\u5f52\u548c\u805a\u7c7b\u3002\u9002\u7528\u4e8e\u4f20\u7edf\u7684\u673a\u5668\u5b66\u4e60\u4efb\u52a1\u3002<\/li>\n\n\n\n<li><strong>PyTorch<\/strong>\uff1a\u4e3b\u8981\u7528\u4e8e\u6df1\u5ea6\u5b66\u4e60\u4efb\u52a1\uff0c\u4f46\u4e5f\u53ef\u4ee5\u5b9e\u73b0\u4e00\u4e9b\u4f20\u7edf\u7684\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u3002<\/li>\n<\/ul>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>\u6570\u636e\u9884\u5904\u7406<\/strong>\uff1a<\/li>\n<\/ol>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Scikit-learn<\/strong>\uff1a\u63d0\u4f9b\u4e86\u5168\u9762\u7684\u6570\u636e\u9884\u5904\u7406\u5de5\u5177\uff0c\u5982\u6807\u51c6\u5316\u3001\u5f52\u4e00\u5316\u3001\u7f16\u7801\u3001\u7279\u5f81\u9009\u62e9\u7b49\u3002<\/li>\n\n\n\n<li><strong>PyTorch<\/strong>\uff1a\u4e5f\u53ef\u4ee5\u901a\u8fc7 <code>torchvision.transforms<\/code> \u548c\u5176\u4ed6\u5de5\u5177\u8fdb\u884c\u6570\u636e\u9884\u5904\u7406\uff0c\u4f46\u4e3b\u8981\u7528\u4e8e\u56fe\u50cf\u5904\u7406\u548c\u6df1\u5ea6\u5b66\u4e60\u4efb\u52a1\u3002<\/li>\n<\/ul>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>\u6a21\u578b\u8bc4\u4f30<\/strong>\uff1a<\/li>\n<\/ol>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Scikit-learn<\/strong>\uff1a\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u8bc4\u4f30\u6307\u6807\u548c\u4ea4\u53c9\u9a8c\u8bc1\u5de5\u5177\u3002<\/li>\n\n\n\n<li><strong>PyTorch<\/strong>\uff1a\u7528\u6237\u901a\u5e38\u9700\u8981\u624b\u52a8\u5b9e\u73b0\u8bc4\u4f30\u6307\u6807\uff0c\u6216\u8005\u4f7f\u7528 <code>torchmetrics<\/code> \u7b49\u5e93\u3002<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">\u4e3b\u8981\u533a\u522b<\/h3>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>\u6838\u5fc3\u7528\u9014<\/strong>\uff1a<\/li>\n<\/ol>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Scikit-learn<\/strong>\uff1a\u4e3b\u8981\u7528\u4e8e\u4f20\u7edf\u7684\u673a\u5668\u5b66\u4e60\u4efb\u52a1\uff0c\u5982\u5206\u7c7b\u3001\u56de\u5f52\u3001\u805a\u7c7b\u548c\u964d\u7ef4\u3002\u5b83\u7684\u8bbe\u8ba1\u76ee\u6807\u662f\u63d0\u4f9b\u7b80\u5355\u6613\u7528\u7684\u63a5\u53e3\u548c\u7b97\u6cd5\uff0c\u9002\u5408\u5feb\u901f\u5b9e\u9a8c\u548c\u6a21\u578b\u9a8c\u8bc1\u3002<\/li>\n\n\n\n<li><strong>PyTorch<\/strong>\uff1a\u4e3b\u8981\u7528\u4e8e\u6df1\u5ea6\u5b66\u4e60\u4efb\u52a1\uff0c\u5982\u795e\u7ecf\u7f51\u7edc\u7684\u6784\u5efa\u548c\u8bad\u7ec3\u3002\u5b83\u63d0\u4f9b\u4e86\u52a8\u6001\u8ba1\u7b97\u56fe\u3001\u81ea\u52a8\u5fae\u5206\u548c GPU \u52a0\u901f\uff0c\u9002\u5408\u6784\u5efa\u590d\u6742\u7684\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u3002<\/li>\n<\/ul>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>\u7075\u6d3b\u6027\u548c\u590d\u6742\u5ea6<\/strong>\uff1a<\/li>\n<\/ol>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Scikit-learn<\/strong>\uff1a\u63d0\u4f9b\u4e86\u9ad8\u5c42\u6b21\u7684 API\uff0c\u6613\u4e8e\u4f7f\u7528\uff0c\u9002\u5408\u5feb\u901f\u5b9e\u73b0\u6807\u51c6\u7684\u673a\u5668\u5b66\u4e60\u4efb\u52a1\u3002<\/li>\n\n\n\n<li><strong>PyTorch<\/strong>\uff1a\u63d0\u4f9b\u4e86\u66f4\u5e95\u5c42\u7684 API\uff0c\u5141\u8bb8\u7528\u6237\u81ea\u5b9a\u4e49\u6a21\u578b\u7684\u5404\u4e2a\u90e8\u5206\uff0c\u9002\u5408\u590d\u6742\u548c\u9ad8\u5ea6\u5b9a\u5236\u5316\u7684\u6df1\u5ea6\u5b66\u4e60\u4efb\u52a1\u3002<\/li>\n<\/ul>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>\u751f\u6001\u7cfb\u7edf<\/strong>\uff1a<\/li>\n<\/ol>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Scikit-learn<\/strong>\uff1a\u4e0e Pandas\u3001NumPy \u7b49\u6570\u636e\u79d1\u5b66\u5e93\u96c6\u6210\u7d27\u5bc6\uff0c\u9002\u5408\u5904\u7406\u7ed3\u6784\u5316\u6570\u636e\u548c\u5c0f\u578b\u5230\u4e2d\u578b\u6570\u636e\u96c6\u3002<\/li>\n\n\n\n<li><strong>PyTorch<\/strong>\uff1a\u4e0e\u5176\u4ed6\u6df1\u5ea6\u5b66\u4e60\u5e93\uff08\u5982 <code>torchvision<\/code>\u3001<code>torchtext<\/code>\u3001<code>torchaudio<\/code>\uff09\u548c\u5927\u89c4\u6a21\u5206\u5e03\u5f0f\u8ba1\u7b97\u6846\u67b6\uff08\u5982 PyTorch Lightning\uff09\u96c6\u6210\uff0c\u9002\u5408\u5904\u7406\u5927\u578b\u548c\u590d\u6742\u7684\u6570\u636e\u96c6\u3002<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">\u793a\u4f8b\u5bf9\u6bd4<\/h3>\n\n\n\n<h4 class=\"wp-block-heading\">Scikit-learn \u793a\u4f8b<\/h4>\n\n\n\n<pre class=\"wp-block-code\"><code>import pandas as pd\nfrom sklearn.datasets import load_iris\nfrom sklearn.model_selection import train_test_split\nfrom sklearn.preprocessing import StandardScaler\nfrom sklearn.linear_model import LogisticRegression\nfrom sklearn.metrics import accuracy_score\n\n# \u52a0\u8f7d\u6570\u636e\ndata = load_iris()\nX = data.data\ny = data.target\n\n# \u6570\u636e\u62c6\u5206\nX_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n\n# \u6570\u636e\u6807\u51c6\u5316\nscaler = StandardScaler()\nX_train = scaler.fit_transform(X_train)\nX_test = scaler.transform(X_test)\n\n# \u6a21\u578b\u8bad\u7ec3\nmodel = LogisticRegression()\nmodel.fit(X_train, y_train)\n\n# \u9884\u6d4b\u548c\u8bc4\u4f30\ny_pred = model.predict(X_test)\naccuracy = accuracy_score(y_test, y_pred)\nprint(f'Accuracy: {accuracy:.2f}')<\/code><\/pre>\n\n\n\n<h4 class=\"wp-block-heading\">PyTorch \u793a\u4f8b<\/h4>\n\n\n\n<pre class=\"wp-block-code\"><code>import torch\nimport torch.nn as nn\nimport torch.optim as optim\nfrom torch.utils.data import DataLoader, TensorDataset\nfrom sklearn.datasets import load_iris\nfrom sklearn.model_selection import train_test_split\nfrom sklearn.preprocessing import StandardScaler\nfrom sklearn.metrics import accuracy_score\n\n# \u52a0\u8f7d\u6570\u636e\ndata = load_iris()\nX = data.data\ny = data.target\n\n# \u6570\u636e\u62c6\u5206\nX_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n\n# \u6570\u636e\u6807\u51c6\u5316\nscaler = StandardScaler()\nX_train = scaler.fit_transform(X_train)\nX_test = scaler.transform(X_test)\n\n# \u8f6c\u6362\u4e3a PyTorch \u5f20\u91cf\nX_train_tensor = torch.tensor(X_train, dtype=torch.float32)\nX_test_tensor = torch.tensor(X_test, dtype=torch.float32)\ny_train_tensor = torch.tensor(y_train, dtype=torch.long)\ny_test_tensor = torch.tensor(y_test, dtype=torch.long)\n\n# \u6570\u636e\u52a0\u8f7d\u5668\ntrain_dataset = TensorDataset(X_train_tensor, y_train_tensor)\ntrain_loader = DataLoader(train_dataset, batch_size=16, shuffle=True)\n\n# \u5b9a\u4e49\u6a21\u578b\nclass SimpleNN(nn.Module):\n    def __init__(self):\n        super(SimpleNN, self).__init__()\n        self.fc1 = nn.Linear(4, 10)\n        self.fc2 = nn.Linear(10, 3)\n\n    def forward(self, x):\n        x = torch.relu(self.fc1(x))\n        x = self.fc2(x)\n        return x\n\nmodel = SimpleNN()\n\n# \u5b9a\u4e49\u635f\u5931\u51fd\u6570\u548c\u4f18\u5316\u5668\ncriterion = nn.CrossEntropyLoss()\noptimizer = optim.Adam(model.parameters(), lr=0.001)\n\n# \u8bad\u7ec3\u6a21\u578b\nfor epoch in range(100):\n    for X_batch, y_batch in train_loader:\n        optimizer.zero_grad()\n        outputs = model(X_batch)\n        loss = criterion(outputs, y_batch)\n        loss.backward()\n        optimizer.step()\n\n# \u9884\u6d4b\u548c\u8bc4\u4f30\nwith torch.no_grad():\n    y_pred_tensor = model(X_test_tensor).argmax(dim=1)\n    y_pred = y_pred_tensor.numpy()\n    accuracy = accuracy_score(y_test, y_pred)\n    print(f'Accuracy: {accuracy:.2f}')<\/code><\/pre>\n\n\n\n<h3 class=\"wp-block-heading\">\u603b\u7ed3<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Scikit-learn<\/strong>\uff1a\u7b80\u5355\u6613\u7528\uff0c\u9002\u5408\u4f20\u7edf\u673a\u5668\u5b66\u4e60\u4efb\u52a1\u548c\u5feb\u901f\u539f\u578b\u5f00\u53d1\u3002<\/li>\n\n\n\n<li><strong>PyTorch<\/strong>\uff1a\u7075\u6d3b\u5f3a\u5927\uff0c\u9002\u5408\u590d\u6742\u7684\u6df1\u5ea6\u5b66\u4e60\u4efb\u52a1\u548c\u5927\u89c4\u6a21\u6570\u636e\u5904\u7406\u3002<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">\u9009\u62e9\u4f7f\u7528\u54ea\u4e00\u4e2a\u6846\u67b6\uff0c\u53d6\u51b3\u4e8e\u5177\u4f53\u7684\u4efb\u52a1\u9700\u6c42\u548c\u590d\u6742\u6027\u3002\u5bf9\u4e8e\u4f20\u7edf\u7684\u673a\u5668\u5b66\u4e60\u4efb\u52a1\uff0cScikit-learn \u662f\u4e00\u4e2a\u5f88\u597d\u7684\u9009\u62e9\uff1b\u5bf9\u4e8e\u6df1\u5ea6\u5b66\u4e60\u4efb\u52a1\uff0cPyTorch \u63d0\u4f9b\u4e86\u66f4\u5f3a\u5927\u7684\u5de5\u5177\u548c\u7075\u6d3b\u6027\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>ChatGPT \u751f\u6210\uff0c\u975e\u539f\u521b Scikit-learn \u548c PyTorch \u662f\u4e24\u4e2a\u7528\u4e8e\u673a\u5668\u5b66\u4e60\u548c\u6df1\u5ea6\u5b66\u4e60\u7684\u6d41\u884c&#8230; <\/p>\n<div class=\"read-more navbutton\"><a href=\"https:\/\/t.n-years.com\/?p=6059\">\u9605\u8bfb\u66f4\u591a<i class=\"fa fa-angle-double-right\"><\/i><\/a><\/div>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[5],"tags":[53,52,56,51],"class_list":["post-6059","post","type-post","status-publish","format-standard","hentry","category-5","tag-llm","tag-52","tag-56","tag-51"],"_links":{"self":[{"href":"https:\/\/t.n-years.com\/index.php?rest_route=\/wp\/v2\/posts\/6059","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/t.n-years.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/t.n-years.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/t.n-years.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/t.n-years.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=6059"}],"version-history":[{"count":1,"href":"https:\/\/t.n-years.com\/index.php?rest_route=\/wp\/v2\/posts\/6059\/revisions"}],"predecessor-version":[{"id":6060,"href":"https:\/\/t.n-years.com\/index.php?rest_route=\/wp\/v2\/posts\/6059\/revisions\/6060"}],"wp:attachment":[{"href":"https:\/\/t.n-years.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=6059"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/t.n-years.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=6059"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/t.n-years.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=6059"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}