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A multidimensional array to one dimension in JS

Method One: Use the array map () method, which runs the given function for each item in an array, and returns a list of the results of each function call.var arr = [1,[2,[[3,4],5],6]]; function Unid (arr) { var arr1 = (arr + '). Split (', '); Convert the array to string and then comma-delimited to array var arr2 = Arr1.map (function(x) { return number (x); }); return arr2;} Console.log (Unid (ARRA));Law II: Using apply combined with concat, the disadvan

Machine LEARNING-XIV. dimensionality Reduction Descending dimension

http://blog.csdn.net/pipisorry/article/details/44705051Machine learning machines Learning-andrew NG Courses Study notesdimensionality Reduction Descending dimensionMotivation Data Compression compressionMotivation Visualization VisualizationConception of Principal Component analysis problem formulation principal component analytical problemAlgorithm principal component analysis algorithm of Principal ComponentChoosing the number of Principal components selectedReconstruction from compressed repr

One dimension array selection sorting algorithm in Java array

http://www.verejava.com/?id=16992690199232 /* Sort by Selection: Idea: 1. Select the smallest of the remaining unordered elements in the array, insert the */public class Selectsort {public static void sort (i Nt[] arrays) {int minindex;//Save the index of the selected minimum for (int i = 0; i http://www.verejava.com/?id=16992690199232One dimension array selection sorting algorithm in Java array

One dimension array insertion sorting algorithm in Java array

http://www.verejava.com/?id=16992686811331/*用插入排序:思路: 1. 在数组中 取未排序的新元素, 跟已经排序的元素比较, 如果新元素小于已排序的元素右移,插入新元素*/public class InsertSort { public static void sort(int[] arrays){ for (int i = 0; i http://www.verejava.com/?id=16992686811331One dimension array insertion sorting algorithm in Java array

[Java code] Time dimension loop generates code snippets

Public Static voidMain (string[] args)throwsparseexception {String str= "20140301"; String str1= "20140731"; SimpleDateFormat format=NewSimpleDateFormat ("YyyyMMdd"); Calendar Start=calendar.getinstance (); Calendar End=calendar.getinstance (); Try{start.settime (Format.parse (str)); End.settime (Format.parse (str1)); } Catch(ParseException e) {e.printstacktrace (); } while(Start.before (end)) {System.out.println (Format.format (Start.gettime ())); Start.add (Calendar.day_of_month

Python processes JSON data-world country Dimension Data

=OS.GETCWD ()ifLen (SYS.ARGV) > 1: job_date_id= Sys.argv[1]Else: job_date_id= Getbeforeday (10)Print "Current script path:%s, current parameter date:%s"%(scriptdir,job_date_id) filename="%s\/jsondata\/country.json"%(Scriptdir) forLineinchgetlines (filename): line=Line.strip () Line= Line[1:] Line= Line[:-2] forValueinchLine.split ("},"): Srcdata= value+"}" #Print Srcdata PrintSrcdata Jsondata=json.loads (srcdata)#Country CodeCode = jsondata['Code'] #Country Chinese nameC

"Error logging" about array dimension order in DP

Tag: amp error wrong scan turn GPO CLU Print STD#include DP Getting Started.If, according to the first, DP [the ball in the hands] [the first few rounds], then directly a person through the full number of rounds, it is conceivable that some states are not transferred.The second one shifts the state of everyone in each round."Error logging" about array dimension order in DP

The path of machine learning: The main component analysis of the Python feature reduced dimension PCA

the data after dimensionality reduction -Pca_svc =linearsvc () the #Learning - Pca_svc.fit (Pca_x_train, Y_train)WuyiPca_y_predict =pca_svc.predict (pca_x_test) the - #4 Model Evaluation Wu Print("accuracy of raw data:", Svc.score (X_test, y_test)) - Print("other ratings: \ n", Classification_report (Y_test, Y_predict, Target_names=np.arange (10). Astype (str ))) About $ Print("data accuracy rate after dimensionality reduction:", Pca_svc.score (Pca_x_test, y_test)) - Print("other ratings: \ n

JS array sorting, support for reverse order and multi-dimension sorting

value is empty, put in the last if (val1 = = NULL Val2 = = null) {return 0; } else if (Val1 = = null val2!= null) {return (type==1 -1:1); } else if (Val2 = = null val1!= null) {return (type==1 1:-1); }//Sort if(Val1 Examples of Use:var temp = [ {"name": "ZJF", "Score": "Age": ten}, {"name": "Lyy", "Score": All, "Age": 5}, {"name": "Zzx", " Score ": All," age ": 12}];//according to the age sort var temp1 = Arritemsort (temp," age ", 1); Console.log (TEMP1);//Sort by ages,

CentOS 7 operation and dimension optimization

CentOS 7 operation and dimension optimization Generally, we install CentOS Mini and other corresponding services, we will be able to work properly. But after working for a while, the server will be unstable, invaded, and even immediately paralyzed at a sudden high concurrency. Most of these problems are due to the fact that we consider their actual compressive and safety reasons. So, here are some suggestions for operation-dimensional optimization. 1

The definition and sorting method of JS two-dimension array

Two-dimensional array definition var xxx=[[1,2],[a,b]];Alert (xxx[1][0]); Method Two var xxx=new array (new array (1,2), new Array ("A", "B")); Alert (xxx[1][0]); Example Three Two-dimensional array declarations are as follows: var images=new array (); First DECLARE one dimension for (Var i=0;iImages[i]=new Array (); In the statement two dimensional for (Var j=0;jImages[i][j]=1; } } Example Four

TENSORLFOW: Increase or decrease The matrix dimension (Python3) __python

1. Increase Dimension Here are two sample examples of sample 1: [1, 2, 3] ==> [[1],[2],[3]] Import TensorFlow as tf a = Tf.constant ([1, 2, 3]) B = Tf.expand_dims (a,1) with TF. Session () as Sess: a_, b_ = Sess.run ([A, b]) print ( ' A: ') print ( a_) print ( ' B: ') print (b_) Output results A: [1 2 3] B: [[1] [2] [3] ] Sample 2: [1, 2, 3] ==> [[1,2,3]] Import TensorFlow as tf a = Tf.constant ([1, 2, 3]) B = Tf.expand_di

Introduction to the use of troubleshooting gadgets in the Exchange Server 2010 Operational Dimension

After the Exchange project has been planned, deployed, and tested into the operations dimension, the administrator needs to master day-to-day maintenance, monitoring, and queue tracking basic management. In simple terms, the purpose of maintenance is to ensure the normal operation of the mail system and the timely recovery of data failure; The purpose of monitoring is to cut down the normal functioning of services and processes; The Exchange server qu

The Cartesian product of the unknown dimension set by recursive and cyclic two ways

what is Cartesian product. In mathematics, the Cartesian product of two sets X and Y (Cartesian product), also called the direct product, is represented as XXY, the first object is the member of X and the second object is one of all possible ordered pairs of Y. Assuming collection a={a,b}, set b={0,1,2}, the Cartesian product of two sets is {(a,0), (a,1), (a,2), (b,0), (b,1), (b,2)}. how to achieve Cartesian product with program algorithm. If the number of collections is known before programm

MySQL Build date dimension table

(Str_to_date (start_date, '%y-%m-%d%H :%i:%s ')) quarter_id,CONCAT (Date_format (Str_to_date (start_date, '%y-%m-%d%h:%i:%s '), '%Y '), ' The Year ', Quarter (str_to_date (start_date, '%y-% m-%d%h:%i:%s '), ' quarter ') Quarter_long_desc,Date_format (Str_to_date (start_date, '%y-%m-%d%h:%i:%s '), '%Y ') year_id,Date_format (Str_to_date (start_date, '%y-%m-%d%h:%i:%s '), '%Y year ') Year_long_descfrom dual;Set i=i+1;Set start_date = Date_format (Date_add (Str_to_date (start_date, '%y-%m-%d%h:%i:

Custom dimension rollup to achieve average balance of balances

In the article "using calculated members to achieve the daily average", we achieved the average of the balance by establishing a calculation member, so as to guarantee the dimension of the bus structure! The disadvantage of this method, of course, is that many computational members need to be set up, and the efficiency of the calculated members is poor. In this section, we use the custom rollup method of the dimen

Generate a Time dimension table in MySQL

Tags: MySQL Time dimension table Data WarehouseGenerate a Time dimension table in MySQLUsing the MySQL common date function to generate time dimension tables is the most efficient, simplest, and requires no other tools to support. The resulting results are shown for example:# time Spanset @d0 = "2012-01-01"; SET @d1 = "2012-12-31"; SET @date = date_sub (@d0, Inte

ML: Descending dimension algorithm-lda

discriminant thinking is based on the known classification of the data to calculate the various kinds of center of gravity, the unknown classification of the data, calculate its distance from all kinds of center of gravity, and a certain center of gravity distance is attributed to this class Linear discriminant Analysis (Linear discriminant, LDA) is a classical algorithm for pattern recognition, which was introduced in the field of pattern recognition and artificial intelligence in the 199

PHP sorts a two-bit array by the value of an element in the second dimension

For example:1 //The original array is like this, and you want to be able to sort by run_date ascending or descending in the second dimension:2 $arr=Array(30=>Array(4' Run_date ' = ' 2017-11-21 ',5' Count ' = ' 5 '6),71=>Array(8' Run_date ' = ' 2017-11-20 ',9' Count ' = ' 10 'Ten), One2=>Array( A' Run_date ' = ' 2017-11-22 ', -' Count ' = ' 10 ' - ) the ); - //want to get: - $arr=Array( -0=>Array( +' Run_date ' = ' 2017-11-2

The difference between fact table and dimension table

In See most Dialog reporting tables also use a suffix to identify the table as a fact (_fact) table or a dimension table (_dim ) When you want to know the difference between the two tables, just search for it. The Fact table and the dimension table are two of the data Warehouse concepts, and are both types of data warehouse. From the point of view of saving data, there is no difference in nature, it is a ta

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