Derivation and loading of the trained random forest model

Application joblib Export and load the trained random forest model

    """  Construct random forest model and forecast  """
    from sklearn.ensemble import RandomForestRegressor
    regressor = RandomForestRegressor(n_estimators=20, oob_score=True)
    regressor.fit(meteo_index_del0[:, 1:5], meteo_index_del0[:, 5].reshape(-1, 1).ravel())
    print("Score:\n", regressor.oob_score_)
    '''  Exporting and loading random forests  '''
    import joblib
    joblib.dump(regressor, "my_random_forest.joblib")  # save
    loaded_rf = joblib.load("my_random_forest.joblib")  # load