Min-Max标准化工具

POST https://api.elysiatools.com/zh/api/tools/data-normalizer-minmax

{
  "mcpServers": {
    "elysiatools-data-normalizer-minmax": {
      "name": "data-normalizer-minmax",
      "description": "使用Min-Max缩放将数值数据标准化到0-1范围。完美用于机器学习预处理、数据分析和特征缩放。\n\n功能特点：\n- Min-Max缩放（0-1标准化）\n- 自定义范围支持（如-1到1）\n- 多列选择\n- 自动数据类型检测\n- 处理缺失值\n- 保留非数值列\n- 包含统计摘要\n\n常见用途：\n- 机器学习特征准备\n- 神经网络输入标准化\n- 数据可视化预处理\n- 不同尺度的比较分析",
      "baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=data-normalizer-minmax",
      "command": "",
      "args": [],
      "env": {},
      "isActive": true,
      "type": "sse"
    }
  }
}

{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/list"
}

{
  "jsonrpc": "2.0",
  "id": 2,
  "method": "tools/call",
  "params": {
    "name": "data-normalizer-minmax",
    "arguments": {
  "inputData": "name,age,salary\nAlice,25,50000\nBob,30,75000\nCharlie,35,120000",
  "targetColumns": "age, salary 或 name, email\n\n留空则自动检测数值列",
  "outputRange": "0, 1",
  "handleMissing": "skip",
  "preserveOriginal": false,
  "decimalPlaces": 4,
  "includeStatistics": true
}
  }
}