本文整理汇总了Python中SampleData.set_of_feature_sets方法的典型用法代码示例。如果您正苦于以下问题：Python SampleData.set_of_feature_sets方法的具体用法？Python SampleData.set_of_feature_sets怎么用？Python SampleData.set_of_feature_sets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SampleData的用法示例。
在下文中一共展示了SampleData.set_of_feature_sets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_load
# 需要导入模块: import SampleData [as 别名]
# 或者: from SampleData import set_of_feature_sets [as 别名]
def test_load(self):
data = SampleData.set_of_feature_sets()
manager = FeatureMatrix.FeatureMatrixManager(data, standardize=False)
a = manager.data["a"]
self.assertEqual(len(a), 3)
numpy.testing.assert_almost_equal(a["1"], [0.0, 0.1, 0.3, 0.0])
numpy.testing.assert_almost_equal(a["2"], [0.0, 0.1, 0.0, 0.1])
numpy.testing.assert_almost_equal(a["3"], [0.0, 0.1, 0.2, 0.1])
a_m, a_labels = manager.get_feature_product("a")
numpy.testing.assert_almost_equal(a_m, EXPECTED_A)
self.assertEqual(a_labels, ["1", "2", "3"])
a_m, a_labels = manager.get_feature_product("a", center=True)
numpy.testing.assert_almost_equal(a_m, numpy.cov([a["1"], a["2"], a["3"]]))
self.assertEqual(a_labels, ["1", "2", "3"])
b = manager.data["b"]
self.assertEqual(len(b), 3)
numpy.testing.assert_almost_equal(b["1"], [1.0, 0.5, 1.2, 0.9])
numpy.testing.assert_almost_equal(b["2"], [1.0, 1.0, 1.2, 1.0])
numpy.testing.assert_almost_equal(b["3"], [1.0, 0.75, 1.2, 0.95])
b_m, b_labels = manager.get_feature_product("b")
numpy.testing.assert_almost_equal(b_m, EXPECTED_B)
self.assertEqual(b_labels, ["1", "2", "3"])
d = manager.data["d"]
self.assertEqual(len(d), 2)
numpy.testing.assert_almost_equal(d["2"], [0.5, 0.7, 0.6, 0.8])
numpy.testing.assert_almost_equal(d["3"], [0.9, 0.9, 0.8, 1.1])
d_m, d_labels = manager.get_feature_product("d")
numpy.testing.assert_almost_equal(d_m, EXPECTED_D)
self.assertEqual(d_labels, ["2", "3"])
e_m, e_labels = manager.get_feature_product("e")
numpy.testing.assert_almost_equal(e_m, [[ 0.3726]])
self.assertEqual(e_labels, ["2"])