Unexpected keyword argument seed when initializing IForest via Python API

[AnirbanChakraborty06]

When I try to initialize the model (as per Python API convention) using the below statement -

from pyspark_iforest.ml.iforest import IForest

iforest = IForest(
    numTrees=100,
    maxSamples=256,
    maxFeatures=len(features),
    contamination=0.025,
    bootstrap=False,
    seed=42,
)

I receive the error - TypeError: __init__() got an unexpected keyword argument 'seed'. However, when seed argument is removed all works as usual.

Note: Used spark3 branch to generate the distribution .tar.gz file.

[titicaca]

seed was not exposed in the Python api, you can use scala api or add the param in the python wrapper