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

Before Change

            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(

After Change

        return "%s.%s_%s" % (name, "sigmoid", msg)

    // -- tanh(K(x, y) + coef0)
    sigm_coef0 = hp.choice("coef0nz", [
        0.0,
        hp.normal( _name("coef0"), 0.0, 1.0)])

    rval = scope.sklearn_SVC(
        kernel="sigmoid",
        C=_svc_C(name) if C is None else C,

Instances