本文整理汇总了Python中pyspark.mllib.linalg.Vectors.norm方法的典型用法代码示例。如果您正苦于以下问题：Python Vectors.norm方法的具体用法？Python Vectors.norm怎么用？Python Vectors.norm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pyspark.mllib.linalg.Vectors的用法示例。
在下文中一共展示了Vectors.norm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:
# 需要导入模块: from pyspark.mllib.linalg import Vectors [as 别名]
# 或者: from pyspark.mllib.linalg.Vectors import norm [as 别名]
# COMMAND ----------
# MAGIC %md
# MAGIC ** Norm **
# MAGIC
# MAGIC We can calculate the norm of a vector using `Vectors.norm`. The norm calculation is:
# MAGIC
# MAGIC \\[ ||x|| _p = \bigg( \sum_i^n |x_i|^p \bigg)^{1/p} \\]
# MAGIC
# MAGIC
# MAGIC
# MAGIC Sometimes we'll want to normalize our features before training a model. Later on we'll use the `ml` library to perform this normalization using a transformer.
# COMMAND ----------
Vectors.norm(denseVector, 2)
# COMMAND ----------
# MAGIC %md
# MAGIC In Python, `DenseVector` operations are delegated to an underlying NumPy array so we can perform multiplication, addition, division, etc.
# COMMAND ----------
denseVector * denseVector
# COMMAND ----------
5 + denseVector
# COMMAND ----------