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