Based on prior knowledge, the DiabetesPedigreeFunction is a numerical feature that represents the genetic influence of diabetes on an individual. It is calculated based on the family history of diabetes and can range from 0 to 2.5.

To analyze the relationship between the DiabetesPedigreeFunction feature and the target variable "Does this person have diabetes?", we can look at the distribution of DiabetesPedigreeFunction values for both the "yes" and "no" classes.

Here is the dictionary with the requested format:

```json
{
	"yes": [0.344, 0.245, 0.678, 0.431, 0.917],
	"no": [0.589, 0.123, 0.786, 0.321, 0.987]
}
```

Please note that these are just example values and not actual values from the dataset. To provide more precise values, it would be necessary to analyze the specific dataset.