@<1523701205467926528:profile|AgitatedDove14>
Clearml version - 1.12.1

In the pipeline example None this specifically, at line 83
parameter_override={'General/num_boost_round': 250,
'General/test_size': 0.5,
'General/random_state': random_state}
these are fixed and cannot be changed by user when the pipeline is cloned, I am trying to make these parameters dynamic using .add_parameter method.

So, every task of has some hyperparameters,
eg task1 takes some int as it will filter out data
task2 takes some NN based params like optimizer, activation func

These params I am passing as whole, i mean as dictionary in my function to set parameters.
But apparently when I am cloning the pipeline and giving the inputs, it is not changing to those and running on original pipeline's inputs.
eg in the base task, epoch was 10, when I cloned the code I set the epoch to 5, it did not changed to 5