def test_bootstrap_ranges(self): np.random.seed(42) X = np.random.normal(size=(50, 3)) f = np.random.normal(size=(50, 1)) df = np.random.normal(size=(50, 3)) weights = np.ones((50, 1)) / 50 e, W = ss.active_subspace(df, weights) ssmethod = lambda X, f, df, weights: ss.active_subspace(df, weights) d = ss._bootstrap_ranges(e, W, None, None, df, weights, ssmethod, nboot=10) e, W = ss.ols_subspace(X, f, weights) ssmethod = lambda X, f, df, weights: ss.ols_subspace(X, f, weights) d = ss._bootstrap_ranges(e, W, X, f, None, weights, ssmethod, nboot=10) e, W = ss.qphd_subspace(X, f, weights) ssmethod = lambda X, f, df, weights: ss.qphd_subspace(X, f, weights) d = ss._bootstrap_ranges(e, W, X, f, None, weights, ssmethod, nboot=10) e, W = ss.opg_subspace(X, f, weights) ssmethod = lambda X, f, df, weights: ss.opg_subspace(X, f, weights) d = ss._bootstrap_ranges(e, W, X, f, None, weights, ssmethod, nboot=10)
def test_ladle_partition(self): np.random.seed(42) df = np.random.normal(size=(10,3)) weights = np.ones((10,1)) / 10 e, W = ss.active_subspace(df, weights) ssmethod = lambda X, f, df, weights: ss.active_subspace(df, weights) e_br, sub_br, li_F = ss._bootstrap_ranges(e, W, None, None, df, weights, ssmethod, nboot=10) d = ss.ladle_partition(e, li_F)
def test_errbnd_partition(self): np.random.seed(42) df = np.random.normal(size=(10,3)) weights = np.ones((10,1)) / 10 e, W = ss.active_subspace(df, weights) ssmethod = lambda X, f, df, weights: ss.active_subspace(df, weights) e_br, sub_br, li_F = ss._bootstrap_ranges(e, W, None, None, df, weights, ssmethod, nboot=10) sub_err = sub_br[:,1].reshape((2, 1)) d = ss.errbnd_partition(e, sub_err)
def test_bootstrap_ranges(self): np.random.seed(42) X = np.random.normal(size=(50,3)) f = np.random.normal(size=(50,1)) df = np.random.normal(size=(50,3)) weights = np.ones((50,1)) / 50 e, W = ss.active_subspace(df, weights) ssmethod = lambda X, f, df, weights: ss.active_subspace(df, weights) d = ss._bootstrap_ranges(e, W, None, None, df, weights, ssmethod, nboot=10) e, W = ss.ols_subspace(X, f, weights) ssmethod = lambda X, f, df, weights: ss.ols_subspace(X, f, weights) d = ss._bootstrap_ranges(e, W, X, f, None, weights, ssmethod, nboot=10) e, W = ss.qphd_subspace(X, f, weights) ssmethod = lambda X, f, df, weights: ss.qphd_subspace(X, f, weights) d = ss._bootstrap_ranges(e, W, X, f, None, weights, ssmethod, nboot=10) e, W = ss.opg_subspace(X, f, weights) ssmethod = lambda X, f, df, weights: ss.opg_subspace(X, f, weights) d = ss._bootstrap_ranges(e, W, X, f, None, weights, ssmethod, nboot=10)