Based on prior knowledge, the DiabetesPedigreeFunction is a numeric variable that represents the diabetes pedigree function. It is a calculated function that measures the genetic influence of diabetes based on family history. The value of the DiabetesPedigreeFunction can range from 0 to 2.

To analyze the relationship between the DiabetesPedigreeFunction feature and the task of determining if a person has diabetes, we can examine the distribution of the DiabetesPedigreeFunction values for the two target classes ('yes' and 'no').

Dictionary with details:

```json
{
	"yes": [0.501, 0.724, 0.245, 0.825, 1.003],
	"no": [0.211, 0.303, 0.142, 0.087, 0.501]
}
```

Based on the analysis, for the target class 'yes', typical DiabetesPedigreeFunction values could be 0.501, 0.724, 0.245, 0.825, and 1.003. For the target class 'no', typical DiabetesPedigreeFunction values could be 0.211, 0.303, 0.142, 0.087, and 0.501. These values are just examples and should not be considered exhaustive.