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__init__() got an unexpected keyword argument 'normalize'
I also tried to fallback to using QuantileRegression from sklearn (As shown below, failinf to find the parameter to set max_iter in sklearn's model), but it doesn't seem to fit the data the same way, so I would love to continue using mlinsights :)
from sklearn.linear_model import QuantileRegressor
quantile_regressor = QuantileRegressor(fit_intercept=True, quantile=0.5)