4dc03426487168eff54c87ec369085efff3621d2,tests/test_pyglmnet.py,,test_cv,#,229

Before Change

                 scoring=simple_cv_scorer)), 5)

    param_grid = [{"alpha": np.linspace(0, 1, 2)},
                  {"reg_lambda": np.linspace(0, 1, 2)}]
    glmcv = GridSearchCV(glm_normal, param_grid, cv=cv)
    glmcv.fit(X, y)

After Change

    param_grid = [{"alpha": np.linspace(0.01, 0.99, 2)},
                  {"reg_lambda": np.logspace(np.log(0.5), np.log(0.01),
                                             10, base=np.exp(1))}]
    glmcv = GridSearchCV(glm_normal, param_grid, cv=cv)
    glmcv.fit(X, y)

Instances