What other parameters to expose to the python users?

[jurra]

We are currently exposing these:

def __init__(self,
                 time: int = 600,
                 max_depth: int = 3,
                 max_num_nodes: int = 7,
                 sparse_coefficient: float = 0.0,
                 verbose: bool = True,
                 all_trees: bool = True,
                 incremental_frequency: bool = True,
                 similarity_lower_bound: bool = True,
                 node_selection: int = 0,
                 feature_ordering: int = 0,
                 random_seed: int = 3,
                 cache_type: int = 0,
                 duplicate_factor: int = 1
                ) -> None:
                ......

See https://github.com/MurTree/pymurtree/blob/feature/python_classifier/src/pymurtree/optimaldecisiontreeclassifier.py for more details.

For example Hypertuning category is not being exposed at the moment