45ffcc4d387da3e767ea675640f411dbea349ff0,skopt/wrappers/scikit_learn.py,,,#,342

Before Change

        for i in range(32):
            opt.step(X, y)
            print(opt.best_score_)
            print(opt.score(X, y))
            print(opt.predict(X))
            import pickle as pc
            pc.dump(opt, open("m.bin","w"))
            opt = pc.load(open("m.bin","r"))

After Change

    opt = SkoptSearchCV(
        SVC(),
        [{
            "C": Real(1e-6, 1e+6, prior="log-uniform"),
            "gamma": Real(1e-6, 1e+1, prior="log-uniform"),
            "degree": Integer(1, 8),
            "kernel": Categorical(["linear", "poly", "rbf"]),
        }],
        n_jobs=1, n_iter=32,
    )

Instances