Example #1
0
def test_rbf_with_dataset():
    '''Tests the RBF model with TimeSeriesDataset'''
    rbf_model = RidgeRBFModel(10, .5, alpha=.01)
    D = tsio.from_id_row_mat(YOUTUBE_1K, add_eps=1e-6)
    y = D.np_like_firstn().sum(axis=1)
    
    model = rbf_model.fit(D, y)
    y_pred = model.predict(D)
    mrse = (((y - y_pred) / y)**2).mean()
    assert_almost_equal(0, mrse, 4)
Example #2
0
def test_rbf_with_dataset():
    '''Tests the RBF model with TimeSeriesDataset'''
    rbf_model = RidgeRBFModel(10, .5, alpha=.01)
    D = tsio.from_id_row_mat(YOUTUBE_1K, add_eps=1e-6)
    y = D.np_like_firstn().sum(axis=1)

    model = rbf_model.fit(D, y)
    y_pred = model.predict(D)
    mrse = (((y - y_pred) / y)**2).mean()
    assert_almost_equal(0, mrse, 4)
Example #3
0
def test_rbf_model():
    '''Tests the RBF model'''
    rbf_model = RidgeRBFModel(100, 50, alpha=.00001)
    D = tsio.from_id_row_mat(YOUTUBE_1K, add_eps=1e-6).np_like_firstn()
    
    X_train = D[:500, :7]
    X_test = D[500:, :7]
    
    y_train = D.sum(axis=1)[:500]
    y_test = D.sum(axis=1)[500:]
    
    model = rbf_model.fit(X_train, y_train)
    y_pred = model.predict(X_test)
    
    mrse = (((y_test - y_pred) / y_test)**2).mean()
    print(mrse)
    assert_equal(1, mrse > 0)
    assert_equal(1, mrse < 1)
Example #4
0
def test_rbf_model():
    '''Tests the RBF model'''
    rbf_model = RidgeRBFModel(100, 50, alpha=.00001)
    D = tsio.from_id_row_mat(YOUTUBE_1K, add_eps=1e-6).np_like_firstn()

    X_train = D[:500, :7]
    X_test = D[500:, :7]

    y_train = D.sum(axis=1)[:500]
    y_test = D.sum(axis=1)[500:]

    model = rbf_model.fit(X_train, y_train)
    y_pred = model.predict(X_test)

    mrse = (((y_test - y_pred) / y_test)**2).mean()
    print(mrse)
    assert_equal(1, mrse > 0)
    assert_equal(1, mrse < 1)