def test_make_dataset_gaussian():
"""Test default make_dataset with Gaussian distribution."""
data = datasets.make_dataset(update_ell='l1', update_theta='l1')
data = datasets.make_dataset(update_ell='l2', update_theta='l1')
data = datasets.make_dataset(update_ell='l1', update_theta='l2')
data = datasets.make_dataset(update_ell='l2', update_theta='l2')
data.X, data.y, data.thetas
def test_make_dataset_gaussian():
"""Test default make_dataset with Gaussian distribution."""
data = datasets.make_dataset(update_ell="l1", update_theta="l1")
data = datasets.make_dataset(update_ell="l2", update_theta="l1")
data = datasets.make_dataset(update_ell="l1", update_theta="l2")
data = datasets.make_dataset(update_ell="l2", update_theta="l2")
data.X, data.y, data.thetas
def test_make_dataset_ising():
"""Test default make_dataset with Ising distribution."""
data = datasets.make_dataset(distribution="ising",
n_samples=10,
n_dim_obs=3,
n_dim_lat=1,
T=1)
data.X, data.y, data.thetas
def test_make_dataset_poisson():
"""Test default make_dataset with Poisson distribution."""
data = datasets.make_dataset(distribution="poisson",
update_theta="l1",
n_samples=10,
n_dim_obs=3,
n_dim_lat=1,
T=1)
data.X, data.y, data.thetas
def test_make_dataset_gaussian_ma():
"""Test Gaussian make_dataset (ma)."""
data = datasets.make_dataset(mode="ma")
data.X, data.y, data.thetas
def test_make_dataset_gaussian_sklearn():
"""Test Gaussian make_dataset (sklearn)."""
data = datasets.make_dataset(mode="sklearn")
data.X, data.y, data.thetas
def test_make_dataset_gaussian_fede():
"""Test Gaussian make_dataset (fede)."""
data = datasets.make_dataset(mode="fede")
data.X, data.y, data.thetas
def test_make_dataset_gaussian_gp():
"""Test Gaussian make_dataset (gp)."""
data = datasets.make_dataset(mode="gp")
data.X, data.y, data.thetas
def test_make_dataset_gaussian_sincos():
"""Test Gaussian make_dataset (sincos)."""
data = datasets.make_dataset(mode="sincos")
data.X, data.y, data.thetas
def test_make_dataset_gaussian_fixed_sparsity():
"""Test Gaussian make_dataset (fixed_sparsity)."""
data = datasets.make_dataset(mode="fixed_sparsity")
data.X, data.y, data.thetas
def test_quickstart():
"""Test make_dataset as in quickstart."""
np.random.seed(42)
data = datasets.make_dataset(n_dim_lat=1, n_dim_obs=10)
data.X, data.y, data.thetas
def test_make_dataset_gaussian_sin():
"""Test Gaussian make_dataset (sin)."""
data = datasets.make_dataset(mode='sin')
data.X, data.y, data.thetas
def test_make_dataset_poisson():
"""Test default make_dataset with Poisson distribution."""
data = datasets.make_dataset(distribution='poisson', update_theta='l1')
data.X, data.y, data.thetas