I want to know what technique i should apply if i have a target features which hierarchal relationship it i need to build the pipeline single classification model how can handle this situation is there any solution available for this ??
Your question is not clear for people to try and answer it.
I want to build a classification model with two target labels (T1 and T2), where T1 is also used as a feature to predict T2. Since there is a relationship between the two targets, I want to avoid building two separate models. Instead, I want a single model that can classify both T1 and T2 efficiently. What is the best technique to handle this type of problem?
Right, I woul suggest to check the Tensorflow Advanced Techniques Specialization, especially Course 1:
There Lawrence explains multi-output models.