```json
{
    "yes": [0.085, 0.214, 0.647, 0.856, 0.924],
    "no": [0.078, 0.094, 0.102, 0.109, 0.114]
}
```
Based on my analysis, I have identified five typical values for the feature "DiabetesPedigreeFunction" for each target class "yes" and "no" for the task of determining whether a person has diabetes. For the "yes" class, the typical values are 0.085, 0.214, 0.647, 0.856, and 0.924. For the "no" class, the typical values are 0.078, 0.094, 0.102, 0.109, and 0.114. These values provide an indication of the range and distribution of the feature values in relation to the target variable.