Min Problem

This is a Min Problem sample.

if __name__ == "__main__":
    from sklearn.datasets import load_boston
    from bgp.skflow import SymbolLearning
    from sklearn import metrics
    data = load_boston()
    x = data["data"]
    y = data["target"]

    sl = SymbolLearning(loop="MultiMutateLoop", pop=500, gen=2, random_state=1,
                      scoring=[metrics.mean_absolute_error,],
                      score_pen=[-1,],
                      stats = {"fitness_dim_min": ("min",), "dim_is_target": ("sum",)},
                      )
    sl.fit(x, y)
    print(sl.expr)