Based on prior knowledge, we can analyze the relationship between the "num_dependents" feature and the task of determining whether a person receives credit or not. 

In general, we can assume that individuals with more dependents may be less likely to receive credit due to increased financial responsibilities and potential income limitations. However, it is important to note that the specific ranges of values for "num_dependents" that determine the likelihood of receiving credit may vary depending on the dataset and the specific credit-granting criteria.

Based on this analysis, here is the dictionary with typical values for each target class:

```json
{
	"yes": [0.0, 1.0, 2.0, 3.0, 4.0],
	"no": [0.0, 1.0, 2.0, 3.0, 4.0]
}
```

Please note that these values are just examples, and the actual values may differ based on the dataset and its characteristics.