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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def predict(fqdn, result, *argl, **argd):
 """Analyzes the result of a generic predict operation performed by `sklearn`. Args: fqdn (str):
 full-qualified name of the method that was called. result: result of calling the method with `fqdn`. argl (tuple):
 positional arguments passed to the method call. argd (dict):
 keyword arguments passed to the method call. """

    #Check the arguments to see what kind of data we are working with, then
    #choose the appropriate function below to return the analysis dictionary.
    out = None
    if len(argl) > 0:
        machine = argl[0]
        if isclassifier(machine):
            out = classify_predict(fqdn, result, None, *argl, **argd)
        elif isregressor(machine):
            out = regress_predict(fqdn, result, None, *argl, **argd)
    return out