| 1. | Configuring the data mining model training destination
配置数据挖掘模型定型目标 |
| 2. | Data mining model training editor columns tab
数据挖掘模型定型编辑器（ “列”选项卡） |
| 3. | Data mining model training destination adapter
数据挖掘模型定型目标适配器 |
| 4. | Data mining model training editor connection tab
数据挖掘模型定型编辑器（ “连接”选项卡） |
| 5. | Data mining model training destination
>数据挖掘模型定型目标 |
| 6. | The input to the data mining model training destination must be sorted
数据挖掘模型定型目标的输入必须经过排序。 |
| 7. | Mining model training
挖掘模型培训 |
| 8. | To sort the data , you can include a sort destination upstream from the data mining model training destination in the data flow
若要对数据进行排序，您可以将数据挖掘模型定型目标的排序目标上游包括到该数据流中。 |
| 9. | The data mining model training destination trains data mining models by passing the data that the destination receives through the data mining model algorithms
数据挖掘模型定型目标将该目标接收到的数据通过数据挖掘模型算法传递，从而为数据挖掘模型定型。 |
| 10. | Data mining model training , data mining query , partition processing , and dimension processing destinations , for working with analytic objects such as mining models , cubes , and dimensions
数据挖掘模型定型、数据挖掘查询、分区处理和维度处理目标，用于处理分析对象，如挖掘模型、多维数据集和维度。 |
