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Integrated Wiring national standard: gbt/t 50311-2000

Title: Code for design of integrated cabling engineering system for building and complex buildingsCode for engineering The generic cabling system for building and campusgbt/t 50311-2000Editorial Department: Ministry of Information Industry of P.R.

Brother even block chain tutorial Btcpool The source code analysis of the mine pool Jobmaker module parsing

Summary of core mechanisms Simultaneous monitoring of KAFKA KAFKA_TOPIC_RAWGBT and Kafka_topic_nmc_auxblock to support mixed mining GBT messages received if the delay exceeds 60 seconds with local time will be discarded if the delay exceeds 3 seconds will print log The available GBT messages will be gbttime+isemptyblock+height to construct the key to write to the local map, and the Gbthash

Gradient iterative tree (GBDT) algorithm principle and spark Mllib invocation instance (Scala/java/python) __ Encoding

Org.apache.spark.ml.evaluation.MulticlassClassificationEvaluator Import Org.apache.spark.ml.feature. {indextostring, stringindexer, vectorindexer}//Load and parse the data file, converting it to a dataframe. Val data = Spark.read.format ("LIBSVM"). Load ("Data/mllib/sample_libsvm_data.txt")//Index labels, adding metadata to the Label column. Fit on whole dataset to include all labels in index. Val labelindexer = new Stringindexer (). Setinputcol ("label"). Setoutputcol ("Indexedlabel"). Fit (d

Gradient iterative tree regression (GBDT) algorithm principle and spark Mllib invocation instance (Scala/java/python) __ Encoding

. Set maxcategories so features with > 4 distinct values are treated as continuous. Val featureindexer = new Vectorindexer (). Setinputcol ("Features"). Setoutputcol ("Indexedfeatures"). Setmaxcategories (4). Fit (data)//Split the "data into training and test sets" (30% held out for testing). Val Array (trainingdata, testData) = Data.randomsplit (Array (0.7, 0.3))//Train a GBT model. Val GBT = new Gbtregres

[ZT] Several Grand Hotel Group USA co-brand Credit card comparison (c) How to choose the best hotel for your credit card

of the hotel chain, cat4-5), as well as the most upscale hotels are compared respectively.Second, the card with the membership levelThree, the annual fee cost of the cardIv. Analysis1. Open Card Bonus: The US Bank's Carlson Club Premier Reward offers the most free nights in all grades. The reason is that two nights accommodation is too overbearing (only for those who hold this card to enjoy it, so the two-night two-night booking is the most cost-effective). However, given the number and distrib

Opencv2.2 cross-compilation and testing on ARM development board

++Enter/usr/local/ARM/4.4.1/as the target root of the library/Click Finish.Modify the default configuration. The default installation directory is/usr/local. To find the generated library file, change the cmake_install_prefix variable to/usr/local/ARM-Linux and click Generate to generate the makefile. 4. In the/usr/local/opencv-arm directory, $ sudo make(1), 80% error:.... /Home/Xin/tiaozhansai/OpenCV-2.2.0/modules/ml/src/Gbt. cpp: 474: Error: 'expl'

Porting opencv to Ti cortex A8

source code ~ /Tiaozhansai/OpenCV-2.2.0 3. Run sudo cmake-Gui on the terminalSelect the source code Directory:/home/Xin/tiaozhansai/OpenCV-2.2.0Select the build Directory:/usr/local/opencv-arm/Click Configure, keep generator as UNIX makefiles, select specify options for cross-compiling, and click Next,Operating System fill in arm-LinuxC compilers fill in/usr/local/ARM/4.4.1/bin/ARM-Linux-gccC ++ compilers fill in/usr/local/ARM/4.4.1/bin/ARM-Linux-G ++Enter/usr/local/ARM/4.4.1/as the target root

[Crane monitoring system] 2. National standard, architecture and data solution to be tested

Tags: des cweb style blog HTTP Io color ar OS Content:This is a survey and research conducted before the implementation of the entire solution, including viewing the national standards, reviewing papers, viewing the same domestic research fields and mature products. In addition, it also studies the architecture and design of cranes, in this way, we can design the signal types to be detected for the overall hardware and the preliminary selection and positioning of the hardware ~ Related Fil

How to randomly generate a credit card number using Python

) Ccnumber = copy. copy (rnd. choice (prefixList )) Result. append (completed_number (ccnumber, length )) Return result Def output (title, numbers ): Result = [] Result. append (title) Result. append ('-' * len (title )) Result. append ('\ n'. join (numbers )) Result. append ('') Return '\ n'. join (result) # # Main # Generator = Random () Generator. seed () # Seed from current time Print ("darkcoding credit card generator \ n ") Mastercard = credit_card_number (generator, mastercardPrefixList

PHP method for randomly generating credit card numbers _ PHP Tutorial

output ("VISA 13 digit", $ visa13 ); $ Amex = credit_card_number ($ amexPrefixList, 15, 5 ); Echo output ("American Express", $ amex ); Echo""; # Minor cards Echo""; $ Discover = credit_card_number ($ discoverPrefixList, 16, 3 ); Echo output ("Discover", $ discover ); $ Diners = credit_card_number ($ dinersPrefixList, 14, 3 ); Echo output ("Diners Club", $ diners ); Echo""; Echo""; $ EnRoute = credit_card_

PHP random generation of credit card numbers, php credit card number _ PHP Tutorial

= credit_card_number($visaPrefixList, 13, 5);echo output("VISA 13 digit", $visa13);$amex = credit_card_number($amexPrefixList, 15, 5);echo output("American Express", $amex);echo "";# Minor cardsecho "";$discover = credit_card_number($discoverPrefixList, 16, 3);echo output("Discover", $discover);$diners = credit_card_number($dinersPrefixList, 14, 3);echo output("Diners Club", $diners);echo "";echo "";$enRou

iOS Integrated ApplePay

required iOS9.0 above support NSLog (@ " device does not support ApplePay, please upgrade to 9.0 or above, and iPhone6 above device support "); return ;}Check whether the user can pay for some kind of card, whether to support Amex, MasterCard, Visa and UnionPay four kinds of cards, according to the needs of their own projects to detectNsarray*supportednetworkcards =@[pkpaymentnetworkamex, Pkpaymentnetworkmastercard, PKPaymentNetworkVisa, Pkpaymentnet

Symfony The basic example of creating a page _php example

. Templates can contain the usual HTML code: Copy Code code as follows: A helper is a PHP function defined by Symfony in a template. He outputs HTML code and is much faster than the actual HTML code we write ourselves. Using the Symfony helper, the output we get with the following code is the same as the usual HTML code above: Copy Code code as follows: If in the above code, we think that the version of the helper is not faster than writing the HTML code, the

PHP method for randomly generating credit card numbers _ php skills

This article describes how to generate a random credit card number in PHP. it involves php's skills to generate a credit card number based on the credit card number rules. it has some reference value, for more information about how to randomly generate a credit card number using PHP, see the following example. Share it with you for your reference. The specific analysis is as follows: This PHP code generates a random credit card number based on the rules generated by the credit card number. it c

PHP random generation of credit card number method _php Tutorial

; $ccnumber. = $checkdigit; return $ccnumber; } function Credit_card_number ($prefixList, $length, $howMany) { for ($i = 0; $i $ccnumber = $prefixList [Array_rand ($prefixList)]; $result [] = Completed_number ($ccnumber, $length); } return $result; } function output ($title, $numbers) { $result [] = ""; $result [] = "$title"; $result [] = Implode ('', $numbers); $result []= '; Return implode ('', $result); } # # Main # echo ""; $mastercard = Credit_card_number ($mastercardPrefixList, 16, 10); e

For the first time, the CentOS dual system is installed under the Win7

process of learning;(3) Windows partition issue. MBR format HDD win can only have four primary partitions, where the system disk occupies one, the default partition occupies one, so normally we can only sub-default to two primary partitions. If you really need to partition a more primary partitions, you can use a certain tool to the system default of that 100M of the main partition and system disk merge, and repair Win7 boot, but this may accidentally let your system collapse. The Win7 of the G

Porting opencv to arm

. Click Generate to generate the makefile and then make,Error at 59%,/usr/local/OpenCV-2.2.0/modules/highgui/src/grfmt_png.cpp: 55: 24: Error: LibPNG/PNG. h: no such file or directoryResults PNG. h was found under OpenCV-2.2.0/3 rdparty/libpng/, and the path was completed under PNG. cpp. The error disappears. Continue make.Error at 79%, OpenCV-2.2.0/modules/ml/src/Gbt. CPP: 474: Error: 'expl' was not declared in this scope; Modify GDB. CPP, comment ou

Brother even block chain tutorial Btcpool The source code analysis of the mine pool Blockmaker module parsing

Bitcoin chunks and domain name coins, while listening Kafka get GBT messages and job messages to construct a list of transactions, and finally assemble complete chunks to be submitted to the Bitcoin node.blkmaker -c blkmaker.cfg -l log_dir#-c指定blkmaker配置文件#-l指定日志目录Blkmaker.cfg configuration file//比特币节点bitcoinds = ({rpc_addr = ""; //rpc地址rpc_userpwd = ""; //rpc权限,格式如username:password});//kafka集群kafka = {brokers = "1.1.1.1:9092,2.2.2.2:9092,3.3.3.3:909

Sentiment analysis-R vs Spark Machine learning Library test Classification comparison

Forest 40g Maximum entropy 40g Decision Tree 40g BAGGING 40g Svm 20% Experiment two (code file Sentiment_analyse. R):Data file: http:///sentiment/data/Classification using Bayes, MAXENT, SVM, Slda, BAGGING, RF, tree classifierThe results are as follows: Classifier Name Accuracy rate (R) Accuracy rate (spark) Bayesian 65% 85D Random Forest

Random forest and gradient ascending tree of Mllib

//Note:use more in Practiceval model =gradientboostedtrees.train (TrainingData, boost Ingstrategy)//Evaluate model on test instances and compute test Errorval Testerr = testdata.map {point =>val predict Ion = Model.predict (point.features) if (Point.label = = prediction) 1.0 Else 0.0}.mean () println ("Test Error =" + testerr) pr Intln ("Learned GBT model:n" + model.todebugstring)Scalability: Through the empirical results of the two classificatio

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