```json
{
	"no": ["no"], 
	"yes": ["yes"]
}
```

Based on the feature "endocr_01" which represents whether the patient has a history of diabetes mellitus, we can analyze its relationship with the presence of chronic heart failure in the myocardial infarction complications data.

From the given information, we can observe that the possible values for the "endocr_01" feature are "no" and "yes". 

Upon analyzing the relationship between this feature and the presence of chronic heart failure, we can infer that a patient with "endocr_01" value of "no" does not have diabetes mellitus in the anamnesis and therefore is less likely to have chronic heart failure as a complication. Similarly, a patient with "endocr_01" value of "yes" has a history of diabetes mellitus and may have a higher likelihood of developing chronic heart failure.

The resulting dictionary shows the possible values of the "endocr_01" feature for the target classes "no" and "yes". In this case, the target class "no" is associated with the value "no" for the "endocr_01" feature, indicating that patients without diabetes mellitus in the anamnesis are less likely to have chronic heart failure. Likewise, the target class "yes" is associated with the value "yes" for the "endocr_01" feature, indicating that patients with a history of diabetes mellitus are more likely to have chronic heart failure as a complication.