Machine Learning Gradient boosting parameter

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I want to create a gradient boosting machine learning model using matlab with predefined parameter derived from a trained python alogrithm.
Unfortunately I couldnt come up with an idea of how to implement the following python parameter into the matlab function fitrensemble / templatetree:
colsample_bytree': 0.8, 'feature_fraction': 0.7, 'learning_rate': 0.01, 'max_depth': 8, 'metric': 'rmse', 'min_child_samples': 40, 'num_leaves': 125, 'reg_alpha': 0.3, 'reg_lambda': 0.5, 'subsample': 0.9}
Any help for the parameter is much appreciated!
Best, Simon

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