Exemplo n.º 1
0
def test_reduction_to_one_component():
    # t-SNE should allow reduction to one component (issue #4154).
    random_state = check_random_state(0)
    tsne = TSNE(n_components=1)
    X = random_state.randn(5, 2)
    X_embedded = tsne.fit(X).embedding_
    assert(np.all(np.isfinite(X_embedded)))
Exemplo n.º 2
0
def test_init_ndarray_precomputed():
    # Initialize TSNE with ndarray and metric 'precomputed'
    # Make sure no FutureWarning is thrown from _fit
    tsne = TSNE(init=np.zeros((100, 2)), metric="precomputed")
    tsne.fit(np.zeros((100, 100)))