Consider input parameter validation in PyKale

[SinaTabakhi]

🚀 Feature Request

Consider implementing a mechanism in PyKale to display appropriate error messages to end-users when incorrect input parameters are provided by end-users.

Motivation

To improve user experience, we can address the issue of complex error traces during example execution by implementing input parameter validation in the main.py file of each example. This will provide clearer and more helpful error messages to end-users.

Pitch

The provided code shows as an illustrative example for implementing a method that performs parameter validation:

def validate_input_param(cfg: CfgNode):
    # Check the validity of all input parameters for their correctness
    if not (0 < cfg.MODEL.LR < 1):
        raise ValueError("Error: Learning rate should be between 0 and 1.")