Dimension

This is a Dimension calculation sample.

if __name__ == "__main__":
    from bgp.functions.dimfunc import dless
    from sklearn.datasets import load_boston
    from bgp.skflow import SymbolLearning

    data = load_boston()
    x = data["data"]
    y = data["target"]
    x_dim = [dless, dless, dless, dless, dless, dless, dless, dless,dless, dless, dless, dless, dless]
    y_dim = dless

    sl = SymbolLearning(loop="MultiMutateLoop", pop=500, gen=2, random_state=1,cal_dim=True, dim_type="coef")
    sl.fit(x, y,x_dim=x_dim, y_dim=y_dim)
    score = sl.score(x, y, "r2")
    print(sl.expr)

The details of Dim can be found in Remarks