unspsc classification

The example of this article for you to share the thinkphp implementation of the infinite classification of the detailed code, I hope that you learn the infinite classification of inspiration. Database: TestDatasheet: (tp_category): common/conf/config.php ' Db_config2 ' => array ( ' db_type ' => ' mysql ', ' Db_user ' => ' root ', ' db_pwd ' => '), ' db_ Host ' => ' localhost ', ' db_port '

It is mentioned in this series that using Python to start machine learning (3: Data fitting and generalized linear regression) mentions the regression algorithm for numerical prediction. The logical regression algorithm is essentially regression, but it introduces a logical function to help classify it. The practice found that the logical regression in the field of text classification performance is also very good. Now let's take a moment to find out.

To make feature selection, the purpose is to select the most useful feature item for classification. But to the computer to deal with, need to quantify. So how to choose the most helpful, there is a variety of methods. In general, the choice of features in 3000, the overall benefit is very good, and then upward, occupy space increased, but the result growth is not obvious. Information gain: It measures the importance of a feature item based on how m

Based on the characteristic engineering, the user characteristic, combined with the related machine learning algorithm, is used in the field of accurate delivery, forecast, wind control and so on. Whether there is supervised learning classification algorithm or unsupervised clustering, it is necessary to establish feature vectors to preprocess the features, and in the supervised training, sample screening is required. This section explains some of the

predicted correctly. recall=tp/(TP+FN), recall is very interesting, this actually =TPR, compared to precision only reference samples from the predicted total positive sample number results into the actual total positive sample number. Similarly, precision and recall consider the algorithm to determine the good or bad. Well, it's all in the same place,Figure: Confusion MatrixSince Roc and PR are at the same time to consider two indicators, one I good one hello, who is good? The ROC spac

/*1012. Digital Classification (20) given a series of positive integers, classify the numbers as required and output the following 5 numbers: A1 = All the even sums of the numbers that can be divisible by 5, and A2 = The numbers that are divided by 5 after the remainder 1 are staggered and summed in the order that they are calculated n1-n2+n3-n4 ... A3 = The number of digits after the remainder 2 by 5, and A4 = The average of the number of 3 after 5,

Preface: Recently in a multi-classification problem, the data format requirements with the LIBSVM accepted format is very similar, for the diagram convenient, try to use the LIBSVM, used python, then use Python version of it.The its prerequisite of the work. LIBSVM Download: http://www.csie.ntu.edu.tw/~cjlin/libsvm/,Download libsvm that column, download LIBSVM package. can also be downloaded from the screen: HTTP://PAN.BAIDU.COM/S/1BNK5HR5, I use the

Kaggle, get up.Kaggle games rely on machines for automatic processing, and machine learning is almost a must-have skill. Getting Started with Kaggle the machine learning skills required is not in-depth, just need to have a basic understanding of the common methods of machine learning, for example, for a problem, you can realize that it is a classification problem AH or regression problem ah, Why the machine can be based on a matrix you entered to calc

No matter how perfect a class design is, it inevitably encounters an unpredictable demand, so how do you extend existing classes? Of course, inheritance is a good choice. But Objective-c provides a special way to extend the class, called catagory, to dynamically add new behavior to existing classes. This will ensure that the original base of the class, small changes can increase the required functionality. When you extend a class with category, you do not need to access its source code or create

In this paper, we describe the infinite polar classification of PHP through the forward traversal tree without recursion. Share to everyone for your reference. Specifically as follows: We usually use recursion to realize the infinite polar classification all know recursion efficiency is very low, the following introduces an improved first order traversal tree algorithm, does not apply to the recursive impl

This article describes how to use IBM OmniFind EntERPrise Edition with IBM Open source unstructured Information management Architecture unstructured Information Management Architecture (UIMA), To extend the semantic search and result classification of the IBM OmniFind Enterprise Edition search engine. And through a concrete example, to show the IBM OmniFind Enterprise Edition powerful semantic search capabilities. Background information Search engin

Label: Returns the result domain name. com also needs min not to return to LSESQL injection:is by inserting a SQL command into a Web form to submit or entering a query string for a domain name or page request, eventually reaching a malicious SQL command that deceives the server. By constructing malicious input, the database executes malicious commands, causing data leaks or modifying content to achieve the purpose of the attack. This is mainly due to the fact that the application has not been st

The more kinship classification, the more complex and difficult it is to control programs and databases. classification processing and control at the same level is very simple, because only one database is required to record the classification at this level, such as system and news, processing at this level is very simple, but for... The more kinship

I have worked on some text mining projects, such as Webpage Classification, microblog sentiment analysis, and user comment mining. I also packaged libsvm and wrote the text classification software tmsvm. So here we will summarize some of the previous articles on text classification. 1. Basic Knowledge 1. sample text classifi