Hey Kedroids! K With

OmegaConf

not supporting tuple, how do you get over scenarios where tuple is absolutely necessary and list won't work? I know you can handle it inside code but sometimes that's too inconvenient. For example here, feature_range has to be a tuple and

scikit-learn>1.2.0

will raise an error if it's not, but

OmegaConf

won't accept it. Handling it case by case for every algorithm is not feasible at all, as it requires a mapping of all type hints.

- object: sklearn.preprocessing.MinMaxScaler
  feature_range: [0, 1]

Using

PyYaml

you could do something like:

feature_range: !!python/tuple [0, 1]

But this isn't supported in

OmegaConf

Is custom resolver the way? something like

{tuple:[1, 2, 3]}

Thanks! 🙂 CC: @Filipe Oliveira

resolver

Thanks @Nok Lam Chan. It works with

yaml.load

but I doubt it would work with

yaml.safe_load

Will give it a try

yes, it doesn’t 😢

As it shouldn’t!