本文整理汇总了Python中thunder.rdds.series.Series.normalize方法的典型用法代码示例。如果您正苦于以下问题：Python Series.normalize方法的具体用法？Python Series.normalize怎么用？Python Series.normalize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thunder.rdds.series.Series的用法示例。
在下文中一共展示了Series.normalize方法的4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_normalization
# 需要导入模块: from thunder.rdds.series import Series [as 别名]
# 或者: from thunder.rdds.series.Series import normalize [as 别名]
def test_normalization(self):
rdd = self.sc.parallelize([(0, array([1, 2, 3, 4, 5], dtype='float16'))])
data = Series(rdd, dtype='float16')
out = data.normalize('percentile')
# check that _dtype has been set properly *before* calling first(), b/c first() will update this
# value even if it hasn't been correctly set
assert_equals('float16', str(out._dtype))
vals = out.first()[1]
assert_equals('float16', str(vals.dtype))
assert(allclose(vals, array([-0.42105, 0.10526, 0.63157, 1.15789, 1.68421]), atol=1e-3))示例2: test_normalization_bywindow
# 需要导入模块: from thunder.rdds.series import Series [as 别名]
# 或者: from thunder.rdds.series.Series import normalize [as 别名]
def test_normalization_bywindow(self):
y = array([1, 2, 3, 4, 5], dtype='float16')
rdd = self.sc.parallelize([(0, y)])
data = Series(rdd, dtype='float16')
out = data.normalize('window', window=2)
# check that _dtype has been set properly *before* calling first(), b/c first() will update this
# value even if it hasn't been correctly set
assert_equals('float16', str(out._dtype))
vals = out.first()[1]
assert_equals('float64', str(vals.dtype))
b_true = array([1.2, 1.4, 2.4, 3.4, 4.2])
result_true = (y - b_true) / (b_true + 0.1)
assert(allclose(vals, result_true, atol=1e-3))
out = data.normalize('window', window=6)
vals = out.first()[1]
b_true = array([1.6, 1.8, 1.8, 1.8, 2.6])
result_true = (y - b_true) / (b_true + 0.1)
assert(allclose(vals, result_true, atol=1e-3))示例3: test_normalization_bymean
# 需要导入模块: from thunder.rdds.series import Series [as 别名]
# 或者: from thunder.rdds.series.Series import normalize [as 别名]
def test_normalization_bymean(self):
rdd = self.sc.parallelize([(0, array([1, 2, 3, 4, 5], dtype='float16'))])
data = Series(rdd, dtype='float16')
out = data.normalize('mean')
# check that _dtype has been set properly *before* calling first(), b/c first() will update this
# value even if it hasn't been correctly set
assert_equals('float16', str(out._dtype))
vals = out.first()[1]
assert_equals('float16', str(vals.dtype))
assert(allclose(out.first()[1],
array([-0.64516, -0.32258, 0.0, 0.32258, 0.64516]), atol=1e-3))示例4: test_normalization
# 需要导入模块: from thunder.rdds.series import Series [as 别名]
# 或者: from thunder.rdds.series.Series import normalize [as 别名]
def test_normalization(self):
rdd = self.sc.parallelize([(0, array([1, 2, 3, 4, 5]))])
data = Series(rdd)
assert(allclose(data.normalize('percentile').first()[1],
array([-0.42105, 0.10526, 0.63157, 1.15789, 1.68421]), atol=1e-4))