本文整理匯總了Python中pyspark.ml.clustering.KMeans.save方法的典型用法代碼示例。如果您正苦於以下問題：Python KMeans.save方法的具體用法？Python KMeans.save怎麽用？Python KMeans.save使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類pyspark.ml.clustering.KMeans的用法示例。
在下文中一共展示了KMeans.save方法的1個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: test_kmeans
# 需要導入模塊: from pyspark.ml.clustering import KMeans [as 別名]
# 或者: from pyspark.ml.clustering.KMeans import save [as 別名]
def test_kmeans(self):
kmeans = KMeans(k=2, seed=1)
path = tempfile.mkdtemp()
km_path = path + "/km"
kmeans.save(km_path)
kmeans2 = KMeans.load(km_path)
self.assertEqual(kmeans.uid, kmeans2.uid)
self.assertEqual(type(kmeans.uid), type(kmeans2.uid))
self.assertEqual(kmeans2.uid, kmeans2.k.parent,
"Loaded KMeans instance uid (%s) did not match Param's uid (%s)"
% (kmeans2.uid, kmeans2.k.parent))
self.assertEqual(kmeans._defaultParamMap[kmeans.k], kmeans2._defaultParamMap[kmeans2.k],
"Loaded KMeans instance default params did not match " +
"original defaults")
try:
rmtree(path)
except OSError:
pass