text: ## 功能介绍
  
   vector绝对值最大标准化是对vector数据按照最大值和最小值进行标准化的组件, 将数据归一到-1和1之间。
  
  ## 参数说明
  <!-- OLD_TABLE -->
  <!-- This is the start of auto-generated parameter info -->
  <!-- DO NOT EDIT THIS PART!!! -->
  | 名称 | 中文名称 | 描述 | 类型 | 是否必须？ | 默认值 |
  | --- | --- | --- | --- | --- | --- |
  | selectedCol | 选中的列名 | 计算列对应的列名 | String | ✓ |  |
  | outputCol | 输出结果列 | 输出结果列列名，可选，默认null | String |  | null |<!-- This is the end of auto-generated parameter info -->
  ## 脚本示例
  
  #### 脚本
  
  ```python
  data = np.array([["a", "10.0, 100"],\
      ["b", "-2.5, 9"],\
      ["c", "100.2, 1"],\
      ["d", "-99.9, 100"],\
      ["a", "1.4, 1"],\
      ["b", "-2.2, 9"],\
      ["c", "100.9, 1"]])
  df = pd.DataFrame({"col" : data[:,0], "vec" : data[:,1]})
  data = dataframeToOperator(df, schemaStr="col string, vec string",op_type="batch")
  
  res = VectorMaxAbsScaler()\
             .setSelectedCol("vec")
  res.fit(data).transform(data).collectToDataframe()
  ```
  #### 结果
  
  col1|vec
  ----|---
  c|1.0,0.01
  b|-0.024777006937561942,0.09
  d|-0.9900891972249752,1.0
  a|0.09910802775024777,1.0
  b|-0.02180376610505451,0.09
  c|0.9930624380574826,0.01
  a|0.013875123885034686,0.01
  