How to write decision tree regression Python for simulated annealing parameter optimization

The writing of the decision tree regression Python code for simulated annealing parameter optimization requires the use of the scikit-learn library. This library has a DecisionTreeRegressor class that can be used to train the decision tree model. scikit-learn supports the optimization algorithm using simulated annealing parameters, which can be specified in the fit method of the DecisionTreeRegressor class.