May you share code example to use this file regressor_finder.py on simple data pls

[Sandy4321]

after this change in regressor_finder.py
if isinstance(r.Algorithm, str): # July29

elif isinstance(r.Args, str):  #July29 

the output is
[print(x) for x in regressors]
{'name': 'isotonic.IsotonicRegression', 'args': [{'name': 'increasing', 'value': '[True, False]'}, {'name': 'out_of_bounds ', 'value': "['nan', 'clip']"}, {'name': 'y_min', 'value': '[None]'}, {'name': 'y_max', 'value': '[None]'}]}
{'name': 'linear_model.ARDRegression', 'args': [{'name': 'n_iter', 'value': '[100-2000]'}, {'name': 'tol', 'value': '[1e-4-1]'}, {'name': 'alpha_1', 'value': '[1e-7-1]'}, {'name': 'alpha_2', 'value': '[1e-7-1]'}, {'name': 'lambda_1', 'value': '[1e-7-1]'}, {'name': 'lambda_2', 'value': '[1e-7-1]'}, {'name': 'compute_score ', 'value': '[True,False]'}, {'name': 'threshold_lambda ', 'value': nan}, {'name': 'fit_intercept ', 'value': '[True,False]'}, {'name': 'normalize ', 'value': '[True,False]'}]}
{'name': 'linear_model.LinearRegression', 'args': []}
{'name': 'cross_decomposition.PLSRegression', 'args': []}
{'name': 'ensemble.AdaBoostRegressor', 'args': []}
{'name': 'ensemble.BaggingRegressor', 'args': []}
{'name': 'ensemble.ExtraTreesRegressor', 'args': []}
{'name': 'ensemble.GradientBoostingRegressor', 'args': []}
{'name': 'ensemble.RandomForestRegressor', 'args': []}
{'name': 'linear_model.PassiveAggressiveRegressor', 'args': []}
{'name': 'linear_model.SGDRegressor', 'args': []}
{'name': 'neighbors.KNeighborsRegressor', 'args': []}
{'name': 'neighbors.RadiusNeighborsRegressor', 'args': []}
{'name': 'tree.DecisionTreeRegressor', 'args': []}
[None, None, None, None, None, None, None, None, None, None, None, None, None, None]

May you share code example to use this file regressor_finder.py on simple data pls