idf cabinet

need to download the ESP32 ESP-IDF development conditions in the terminal input git clone--recursive https://github.com/espressif/esp-idf.git to download the latest development conditions (download time is longer)The directory structure of the ESP-IDF is as follows: Components : Core components of ESP-IDFexamples : ESP-IDF provided by the instance program Make :

: Count vector, TF (Word frequency)-idf (inverse text frequency index), Word embedding, subject modelText Similarity calculation:Cosine distance (cosine similarity)TF-IDF: is a statistical method used to evaluate the importance of a word in a file set or one of a corpus, which increases in proportion to the number of occurrences in a file, but decreases inversely with the frequency with which he appears in

| People | People's Republic of | Republic | Montenegro | Long Live China | Viva | |"Most used participle"Import Jieba.analyseJieba.analyse.extract_tags (sentence, topk=20, Withweight=false, allowpos= ())Sentence: The text to be extractedTopK: The default value is 20 for returning several keywords with the most TF/IDF weightsWithweight: For whether to return the keyword weight value, the default value is FalseAllowpos: Include only words with the sp

and other operations. With a dictionary, every document in the Corpus DJ D_j can be expressed as a keyword vector form: [w1j,..., WNJ] [w_{1j},..., W_{nj}], Wij w_{ij} corresponds to the weight of the word ti d_j in the document DJ T_i. The next two problems to solve are the choice of weight calculation method and the measurement of similarity degree. TF-IDF (term frequency-inverse Document Frequency) is one of the most commonly used weighting mechan

Before doing a simple Chinese text categorization system, using naive Bayesian algorithm, now review and give detailed each step. If you have source code requirements, please go to Https://github.com/chenfei0328/BayesProject First, text preprocessing 1. Format problems, such as the deletion of space, the deletion of line-changing characters.2.jieba participle Https://github.com/fxsjy/jieba Building a vector-space model 1. Load training set, each document as a row of data, n documents are n-dimen

Original: http://www.google.com.hk/ggblog/googlechinablog/2006/07/12_4010.html Google's news is automatically sorted and sorted. The so-called classification of news is to put similar news into a class. The computer actually can't read news, it can only be calculated quickly. This requires us to design an algorithm to calculate the similarity of any two news articles. To do this, we need to find a way to describe a piece of news with a set of numbers. For all the notional words in a news a

This article about Tf-idf/chi/ig. Reference: Http://blog.sina.com.cn/s/blog_6622f5c30101datu.html http://lovejuan1314.iteye.com/blog/651460 1) TF-IDF in the feature selection of the misunderstanding. TF-IDF is used for vector space model, and the calculation of document similarity is quite effective. But it is not enough to use TF-

This article about Tf-idf/chi/ig. Reference: Http://blog.sina.com.cn/s/blog_6622f5c30101datu.html http://lovejuan1314.iteye.com/blog/651460 1) TF-IDF in the feature selection of the misunderstanding. TF-IDF is used in vector space model, and it is very effective to calculate the similarity of documents. However, it is not enough to use TF-

: Cannot write throw exception; Format: "Yyyy-mm-dd hh:mm:ss| | yyyy-mm-dd| | Epoch_millis ", format this parameter to represent an acceptable time format of 3 kinds are accepted; Ignore_options: This option controls the contents of the inverted index record, with 4 configurations: Docs: Only document numbers are recorded; Freqs: Document number + word frequency; Postions: Document number + Word frequency + location; Offsets: Document number + Word frequency + position + offset; Index: Sp

Young people living outside will have a dream: there is a home of their own in the fight city, and this home looks like a high-end foreign gas grade (reference from: high-end foreign gas grade full text ), in addition to the corresponding economic foundation, we also need to have a good design concept. Let's look at how to create the living room part of a tall house: Fashion and classic TV background wall are essential elements of modern home life. Black is an eternal classic topic. In many case

purpose of this response is to eliminate the county government to their own letter function and the capital of the credit function of the worry just.To tell the truth, I am a little dizzy, the postman said: "You know how to ponder." ”I asked him: "You are so hard to establish a connection, don't you go to deliver it in person?" ”The postman said, "I'm not going!" This Shongo since the throne, all day carpentry like carpentry, ignore court politics, led to hardship, large fields barren, bandits,

1. Components (Elements)Elements (Element) are the most important concepts in GStreamer.You can transfer the data flow between the connected components (Elements) by creating a series of components (Elements) and connecting them together.Each component (Elements) has a special function interface, and for some component (Elements) function interfaces They are used to read the file data and decode the file data.Some component (Elements) function interfaces simply output the corresponding data to a

Local high heat treatment solution for data centers Although the data center has a sound air-conditioning system that maintains constant temperature and humidity all the year round, the internal temperature distribution is not balanced enough. It is close to the air outlet location, and the temperature is close to the constant temperature of the air conditioner. The temperature a little farther away from the air conditioner is different from the temperature controlled by the actual air conditio

levels, then, the B-type InfraStruXure system is used to differentiate and protect different availability levels. In the centralized power supply protection solution, the customer can separately configure the B-type InfraStruXure System for several lines of important cabinet loads to achieve higher availability. These features are suitable for the actual needs of medium and large data centers. Modular basic component structure The outstanding perfor

Distributed design in data centers In a typical distributed switching architecture design, each server cabinet is connected through copper cables or optical fiber cables. For copper cabling, most cabinets in the data center are connected through 6A/EA class 10G Base-T copper cabling. The quantity of 6A/EA copper cables for each cabinet is determined according to the customer's requirements. These cabling li

/B580 attached to the Panel, assets, and other flat surfaces. B580 is required for outdoor environments. According to the standard, the printing is mainly required to comply with the UL969 standard, and is a hot transfer printing method. At the same time, there are two main printing solutions for Beidi, one is mass printing, the printer model is IP300, And the handheld printer is mainly applicable to the network architecture of qiandian and below. The printer models are TLS2200 and BMP 21, as sh

cost perspective, some have their own advantages in terms of layout structure. This article will explain a new type of data center air-conditioning technology. This technology is very meaningful for lowering the local temperature, and it is also a pain point for directly hitting the data center air-conditioning technology, this is the backplane air conditioning technology. Backplane air conditioners are composed of cooling coils installed on the back of the data center rack, cooling units provi

Web Publishing of ActiveX controls consists of two parts: 1. ActiveX control production requirementsThe coding of ActiveX controls generated by web publishing requires that the security interface "IObjectSafety interface" of ActiveX controls be implemented ": 2. ActiveX control release requirements 1) create a cab package for ActiveX space: To create a cab file, seeCreate a signature cab file for the MFC and ATL controls. This section describes how to create a cab file for distributing

personal Online Banking Professional Edition. Exit when you need to click on the page "Safe exit", exit the net silver. When you first log on, you are prompted to force changes to the net silver password as a combination of letters and numbers. 2, the personal net Silver user name: You apply for the Net Silver Professional Edition to open an account in the cabinet face, the net silver user name defaults thinks the card number. If you apply for perso

calculated independently. Unlike Naive Bayes, Logistic Regression must satisfy the conditional independence hypothesis (because it does not evaluate the posterior probability ). However, the contribution of each feature is calculated independently, that is, LR will not automatically help you combine different features to generate new feature (this fantasy cannot be held at all times, that is, decision tree, lsa, plsa, LDA or what you want to do ). For example, if you need a feature such as TF *