e91a752ee0c7a903af2fa85aa558222eed15d549,Orange/widgets/regression/tests/test_owrandomforestregression.py,TestOWRandomForestRegression,setUp,#TestOWRandomForestRegression#,10

Before Change

        n_est_spin = self.widget.n_estimators_spin
        max_f_spin = self.widget.max_features_spin[1]
        rs_spin = self.widget.random_state_spin[1]
        max_d_spin = self.widget.max_depth_spin[1]
        min_s_spin = self.widget.min_samples_split_spin[1]
        n_est_min_max = [n_est_spin.minimum() * 10, n_est_spin.minimum()]
        min_s_min_max = [min_s_spin.minimum(), min_s_spin.maximum()]
        self.gui_to_params = [
            GuiToParam("n_estimators", n_est_spin, lambda x: x.value(),
                       lambda i, x: x.setValue(i), n_est_min_max, n_est_min_max),
            GuiToParam("max_features", max_f_spin, lambda x: "auto",
                       lambda i, x: x.setValue(i), ["auto"], [0]),
            GuiToParam("random_state", rs_spin, lambda x: None,
                       lambda i, x: x.setValue(i), [None], [0]),
            GuiToParam("max_depth", max_d_spin, lambda x: None,
                       lambda i, x: x.setValue(i), [None], [0]),
            GuiToParam("min_samples_split", min_s_spin, lambda x: x.value(),
                       lambda i, x: x.setValue(i), min_s_min_max, min_s_min_max)]

    def test_parameters_checked(self):
        Check learner and model for various values of all parameters
        when all properties are checked

After Change

        self.init()
        nest_spin = self.widget.n_estimators_spin
        nest_min_max = [nest_spin.minimum() * 10, nest_spin.minimum()]
        self.parameters = [
            ParameterMapping("n_estimators", nest_spin, nest_min_max),
            ParameterMapping("min_samples_split",
                             self.widget.min_samples_split_spin[1])]

    def test_parameters_checked(self):
        Check learner and model for various values of all parameters
        when all properties are checked

Instances