本文整理汇总了Python中sklearn.manifold.t_sne.TSNE._EXPLORATION_N_ITER方法的典型用法代码示例。如果您正苦于以下问题：Python TSNE._EXPLORATION_N_ITER方法的具体用法？Python TSNE._EXPLORATION_N_ITER怎么用？Python TSNE._EXPLORATION_N_ITER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sklearn.manifold.t_sne.TSNE的用法示例。
在下文中一共展示了TSNE._EXPLORATION_N_ITER方法的2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_bh_match_exact
# 需要导入模块: from sklearn.manifold.t_sne import TSNE [as 别名]
# 或者: from sklearn.manifold.t_sne.TSNE import _EXPLORATION_N_ITER [as 别名]
def test_bh_match_exact():
# check that the ``barnes_hut`` method match the exact one when
# ``angle = 0`` and ``perplexity > n_samples / 3``
random_state = check_random_state(0)
n_features = 10
X = random_state.randn(30, n_features).astype(np.float32)
X_embeddeds = {}
n_iter = {}
for method in ['exact', 'barnes_hut']:
tsne = TSNE(n_components=2, method=method, learning_rate=1.0,
init="random", random_state=0, n_iter=251,
perplexity=30.0, angle=0)
# Kill the early_exaggeration
tsne._EXPLORATION_N_ITER = 0
X_embeddeds[method] = tsne.fit_transform(X)
n_iter[method] = tsne.n_iter_
assert n_iter['exact'] == n_iter['barnes_hut']
assert_array_almost_equal(X_embeddeds['exact'], X_embeddeds['barnes_hut'],
decimal=3)示例2: test_n_iter_without_progress
# 需要导入模块: from sklearn.manifold.t_sne import TSNE [as 别名]
# 或者: from sklearn.manifold.t_sne.TSNE import _EXPLORATION_N_ITER [as 别名]
def test_n_iter_without_progress():
# Use a dummy negative n_iter_without_progress and check output on stdout
random_state = check_random_state(0)
X = random_state.randn(100, 10)
for method in ["barnes_hut", "exact"]:
tsne = TSNE(n_iter_without_progress=-1, verbose=2, learning_rate=1e8,
random_state=0, method=method, n_iter=351, init="random")
tsne._N_ITER_CHECK = 1
tsne._EXPLORATION_N_ITER = 0
old_stdout = sys.stdout
sys.stdout = StringIO()
try:
tsne.fit_transform(X)
finally:
out = sys.stdout.getvalue()
sys.stdout.close()
sys.stdout = old_stdout
# The output needs to contain the value of n_iter_without_progress
assert_in("did not make any progress during the "
"last -1 episodes. Finished.", out)