c7eedbd86349ee56a1d816a4e54dc031382da305,hpsklearn/components.py,,linear_discriminant_analysis,#,796

Before Change

            ["svd", "lsqr", "eigen"]) if solver is None else solver,
        shrinkage=hp.choice(
            _name("shrinkage"),
            ["auto", None]) if shrinkage is None else solver,
        priors=priors,
        n_components=4 * scope.int(
            hp.qloguniform(

After Change

    def _name(msg):
        return "%s.%s_%s" % (name, "lda", msg)

    solver_shrinkage_dual = hp.choice(_name("solver_shrinkage_dual"),
                                      [("svd", None),
                                       ("lsqr", None),
                                       ("lsqr", "auto"),

Instances