convert_river_to_sklearn for LOF and HalfSpacedTrees

[KatFT]

Hello! I'm trying to convert my river LOF and HST models to sklearn to apply to LIME, but I'm always having the error of not finding the wrapper corresponding to my models.
The HST and LOF models are as follows:

scaler = preprocessing.StandardScaler() hst_model= compat.convert_river_to_sklearn(anomaly.HalfSpaceTrees( n_trees=5, height=3, window_size=3, seed=42 )) model = scaler | hst_model

scaler = preprocessing.StandardScaler() lof_model= compat.convert_river_to_sklearn(anomaly.LocalOutlierFactor(n_neighbors=10)) model = scaler | lof_model

Both of them give me the following error:
ValueError: Couldn't find an appropriate wrapper

Can anyone help me solve this?