Part I:词频统计并返回topN 统计的文本数据: what do you do how do you do how do you do how are you from operator import add from pyspark import SparkContext def sort_t(): sc = SparkContext(appName="testWC") data = sc.parallelize(["what do you do", &qu
import random as rd import math class LogisticRegressionPySpark: def __init__(self,MaxItr=100,eps=0.01,c=0.1): self.max_itr = MaxItr self.eps = eps self.c = c def train(self,data): #data为RDD,每条数据的最后一项为类别的标签 0 或者1 k = len(data.take(1)[0]) #初始化w self.w
测试是软件开发中的基础工作,它经常被数据开发者忽视,但是它很重要.在本文中会展示如何使用Python的uniittest.mock库对一段PySpark代码进行测试.笔者会从数据科学家的视角来进行描述,这意味着本文将不会深入某些软件开发的细节. 本文链接:https://www.cnblogs.com/hhelibeb/p/10508692.html 英文原文:Stop mocking me! Unit tests in PySpark using Python’s mock library 单
