本文整理汇总了Python中pystruct.learners.OneSlackSSVM.C方法的典型用法代码示例。如果您正苦于以下问题：Python OneSlackSSVM.C方法的具体用法？Python OneSlackSSVM.C怎么用？Python OneSlackSSVM.C使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类pystruct.learners.OneSlackSSVM的用法示例。
在下文中一共展示了OneSlackSSVM.C方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_latent_node_boxes_edge_features
# 需要导入模块: from pystruct.learners import OneSlackSSVM [as 别名]
# 或者: from pystruct.learners.OneSlackSSVM import C [as 别名]
def test_latent_node_boxes_edge_features():
# learn the "easy" 2x2 boxes dataset.
# smoketest using a single constant edge feature
X, Y = make_simple_2x2(seed=1, n_samples=40)
latent_crf = EdgeFeatureLatentNodeCRF(n_labels=2, n_hidden_states=2, n_features=1)
base_svm = OneSlackSSVM(latent_crf)
base_svm.C = 10
latent_svm = LatentSSVM(base_svm,
latent_iter=10)
G = [make_grid_edges(x) for x in X]
# make edges for hidden states:
edges = make_edges_2x2()
G = [np.vstack([make_grid_edges(x), edges]) for x in X]
# reshape / flatten x and y
X_flat = [x.reshape(-1, 1) for x in X]
Y_flat = [y.ravel() for y in Y]
#X_ = zip(X_flat, G, [2 * 2 for x in X_flat])
# add edge features
X_ = [(x, g, np.ones((len(g), 1)), 4) for x, g in zip(X_flat, G)]
latent_svm.fit(X_[:20], Y_flat[:20])
assert_array_equal(latent_svm.predict(X_[:20]), Y_flat[:20])
assert_equal(latent_svm.score(X_[:20], Y_flat[:20]), 1)
# test that score is not always 1
assert_true(.98 < latent_svm.score(X_[20:], Y_flat[20:]) < 1)