RoundMosquito25 you might need to use cast=True when you get the parameters.
See this snippet:
` from clearml import Task

t = Task.init()
params = {}
params["Function"] = {}
params["Function"]["number"] = 123
t.set_parameters_as_dict(params)
t.close()

cloned = Task.clone(t.id)
s = cloned.get_parameters_as_dict(cast=True)
s["Function"]["number"] = 321
cloned.set_parameters_as_dict(s)
print(type(cloned.get_parameters_as_dict(cast=True)["Function"]["number"])) # will print 'int' `

Hi RoundMosquito25 ! What clearml version are you using? Do you get any error messages when you are setting floats instead of strings?

I'll try that...

version 1.8.1
No, there are no error messages. The behaviour is just very strange (or even incorrect)

Suppose that this is a task that is cloned:
base_task = replacement_task.create_function_task( func=some_func, # type: Callable func_name=f'func_id_run_me_remotely_nr', # type:Optional[str] task_name=f'a func task', # type:Optional[str] # everything below will be passed directly to our function as arguments some_argument=message, some_argument_2=message, random_number=2 )
When in the code above I do for example
s['Function']['random_number'] = random.random()
Then in some_func
argument random_number is 2 (instead of random number).

When I pass a string, then in some_func I'll parse it to float again - it works

in both cases

So seems like this dictionary works with strings

yes, sure, I'm doing that

After you do s['Function']['random_number'] = random.random() you still need to call set_parameters_as_dict(s)