big data implementation examples

;ImportOrg.apache.hadoop.io.Text;ImportOrg.apache.hadoop.mapreduce.Job;ImportOrg.apache.hadoop.mapreduce.lib.input.FileInputFormat;ImportOrg.apache.hadoop.mapreduce.lib.output.FileOutputFormat;ImportOrg.apache.hadoop.util.Tool;ImportOrg.apache.hadoop.util.ToolRunner; Public classMyJobextendsConfiguredImplementstool{ Public Static voidMain (string[] args)throwsException {MyJob MyJob=NewMyJob (); Toolrunner.run (MyJob,NULL); } @Override Public intRun (string[] args)throwsException {//TODO auto-gen

fake_func (P, x):f = np.poly1d (P) #多项式分布的函数return f (x)#残差函数def residuals (p, y, x):Return Y-fake_func (p, x)#随机选了9个点, as Xx = Np.linspace (0, 1, 9)A lot of points #画图的时候需要的 "continuous"X_show = Np.linspace (0, 1, 1000)y0 = Real_func (x)#加入正态分布噪音后的yy1 = [Np.random.normal (0, 0.1) + Y for y in y0]#先随机产生一组多项式分布的参数P0 = Np.random.randn (M)PLSQ = LEASTSQ (residuals, P0, args= (y1, x))Print (' Fitting Parameters: ', plsq[0]) #输出拟合参数Pl.plot (X_show, Real_func (x_show), label= ' real ')Pl.plot (X_show

, the parameters have been changed, such as the original interface control is not passed, now to pass the Scala interface componentsPeer (the corresponding Java Swing component), the original word segmentation tuple is tuple2The INT type replaces the Java integer type, because the RDD generated by the Scala Rdd.tojavardd () method is Use the Scala int type (the original Tuple2 is the Scala type). All in all, the functionality that Scala and Java call each other is very powerful and convenient.Th

Code: http://www.zuidaima.com/share/1855841547176960.htmOriginal: Big Data and JS Implementation 2014 Brazil World Cup championship forecastThe four-year-old fans carnival is coming, the top 32 is ready, and June 13 will be the beginning of the world's fans to bring the best football feast.Since the 32 strong group, the predictions about the outcome of each team

) {System.out.println (current.data); Current=Current.next; } } //Reverse Print linked list Public voidReverseprint () {Node current= This. Tail; while(Current! =NULL) {System.out.println (current.data); Current=Current.prev; } } Public Static voidMain (String args[]) {mydoublelinklist linklist=Newmydoublelinklist (); Linklist.addhead ("AAAA");//System.out.println (Linklist.getdata (1));Linklist.addtail ("BBBB");//System.out.println (Linklist.getdata (3));Linklist.adddata (2, "

Code:#include Did a run big data of the shortest-circuiting hanging, vector-based two-dimensional analog adjacency table implementation of the Dijkstra algorithm (* "template")

Big Data analysis guide TMF frameworx Best Practices Unleashing business value in Big Data Preface This article is excerpted from TMF big data analytics guidebook. TMF document copyright information Copyright©Telemanagement F

computing and cloud platform development. Therefore, in 2016, IBM released the department responsible for cloud development, and Ji yanyong was responsible for all cloud development for big data and analysis. At present, Ji yanyong is mainly responsible for implementing big data analysis capabilities on the cloud, and

data changes all aspects of us, and security analysis is no exception. The security element information presents the big data characteristic, but the traditional security analysis method faces the big challenge, the information and the network security needs to base on the big