a456f784eda6257b73b25fc6c4ee5682dc1341f2,hpsklearn/components.py,,svc_sigmoid,#Any#Any#Any#Any#Any#Any#Any#Any#Any#,253

Before Change

    rval = scope.sklearn_SVC(
        kernel="sigmoid",
        C=hp.lognormal(
            _name("C"),
            np.log(1.0),
            np.log(4.0)) if C is None else C,
        gamma=hp.lognormal(
            _name("gamma"),
            np.log(1.0),
            np.log(3.0)) if gamma is None else gamma,
        coef0=hp.normal(
            _name("coef0"),
            0.0,
            1.0) if coef0 is None else coef0,
        shrinking=hp_bool(
            _name("shrinking")) if shrinking is None else shrinking,
        tol=hp.lognormal(
            _name("tol"),
            np.log(1e-3),
            np.log(10)) if tol is None else tol,
        // -- this is basically only here to prevent
        //    an infinite loop in libsvm"s solver.
        //    A more useful control mechanism might be a timer
        //    or a kill mesg to a sub-process or something...
        max_iter=scope.patience_param(scope.int(
            hp.qloguniform(
                _name("max_iter"),
                np.log(1000),
                np.log(100000),
                q=10,
                ))) if max_iter is None else max_iter,
        verbose=verbose,
        cache_size=cache_size,
        )

After Change

    rval = scope.sklearn_SVC(
        kernel="sigmoid",
        C=_svc_C(name) if C is None else C,
        gamma=_svc_gamma(name) if gamma is None else gamma,
        coef0=sigm_coef0 if coef0 is None else coef0,
        shrinking=hp_bool(
            _name("shrinking")) if shrinking is None else shrinking,
        tol=_svc_tol(name) if tol is None else tol,
        max_iter=_svc_max_iter(name) if max_iter is None else max_iter,
        verbose=verbose,
        cache_size=cache_size,
        )

Instances