Based on prior knowledge, the DiabetesPedigreeFunction is a numeric variable that represents the diabetes pedigree function, which quantifies the likelihood of diabetes based on family history. It is expected that individuals with a higher pedigree function value are more likely to have diabetes.

To analyze the relationship between the DiabetesPedigreeFunction feature and the task of determining whether a person has diabetes or not, we can compare the distribution of this feature for individuals with and without diabetes.

Here's a dictionary that contains the possible values of the DiabetesPedigreeFunction feature for each target class:

```json
{
	"yes": [1.001, 1.201, 1.401, 1.601, 1.801],
	"no": [0.211, 0.411, 0.611, 0.811, 1.011]
}
```

Please note that the values provided are just examples and may not accurately represent the actual distribution of the DiabetesPedigreeFunction feature for each target class. A more comprehensive analysis on the dataset is required to provide a precise estimation of the feature's value ranges for each target class.