You can use the searcher. Explain (query, int DOC) method to view the specific composition of a document's score.
In Lucene, the score is calculated by TF * IDF * boost * lengthnorm.
TF: the square root of the number of times the query word appears in the documentIDF: indicates the document frequency to be reversed. After observing that all documents are the same, it is useless and does not take any decision.Boost: the incentive factor can be set thro
-1. Misunderstanding of TF-IDF
TF-IDF can effectively assess the importance of a word to one of a collection or corpus. Because it comprehensively represents the importance of the word in the document and the document discrimination. However, it is not enough to judge whether a feature has discrimination by simply using TF-IDF in text classification.
1) It does n
after the algorithm is completed, and the efficiency is not very high. So I personally copied a keyword matching method.
Preparations:
1. Prepare a word segmentation class library. shotseg 1.0 is used here, which is very effective but can be used.
2. Take a look at the concept of TF-IDF (TF-IDF is a statistical method used to evaluate the importance of a word to one of a collection or corpus. The importanc
Tags: gty ons ignores data and key list function divThe predecessor picked the tree, posterity. The source code is cmakelists on GitHub and can be compiled directly. Bubble robot has a very detailed analysis, combined with a discussion of the loop detection of the word bag model, with Gao Xiang's loopback detection application, basically can be strung together. The concept of TF-IDF, the expression is not unique, here is the definition of: TF indicate
snitches Overview
Cassandra provides snitches functionality to know which data centers and racks each node in the cluster belongs to. All rack-sensing policies implement the same interface Iendpointsnitch. Let's take a look at Snitches's class diagram:
A more practical approach is provided in the Iendpointsnitch interface:
Gets the rack public
String getrack (inetaddress endpoint) through an IP address
of ownership ).Complexity of existing networks. The load of the existing network may change greatly, so load balancing must be performed between multiple client LPAR.This article describes how to use a combination of active and passive Cisco switches to implement multi-VLAN configuration for a blade server rack. In our example, how does the configured network connect to a Linux instance? On Power BladeCenter? Multiple VLANs on JS22. This architecture
stepsThe placement of replicas is critical to the reliability and performance of HDFs. The optimization of copy placement is an important sign that HDFS differs from other Distributed file systems. This feature requires a lot of debugging and experience. The purpose of the rack-aware copy placement strategy is to improve data reliability, availability, and to save network bandwidth usage. The current implementation strategy is the first step towards
blockreport includes a list of all blocks on the datanode.
1. The storage of copies is the key to the reliability and performance of HDFS. HDFS uses a policy called Rack-aware to improve data reliability, effectiveness, and utilization of network bandwidth. The short-term goal of this strategy is to verify the performance in the production environment, observe its behavior, and build the basis for testing and research to achieve more advanced strateg
First, we must understand what a PC server is? The so-called PC Server is an Intel-based server. Unlike some large servers, such as mainframe and UNIX-based servers, most of them run Windows or Linux operating systems and are generally used, the latter is mostly for professional purposes, such as banking, large manufacturing, logistics, securities... In other industries, the average person has little chance of access. Generally, if the PC server is out of type, it can be roughly divided into thr
reliably store very large files to multiple machines in the cluster. Each file is divided into consecutive blocks. Except the last block, each block in the file is of the same size. The file block is replicated multiple times to provide fault tolerance. You can specify the block size and replication factor for each file. The replication factor can be specified or modified later when the file is created. In HDFS, only one writer is allowed at any time.
Namenode determines when block replication
not be lost, can not change the number of backup data, can not change the number of blocks in each rack.2. The system administrator can start the data redistribution program with a single command or stop the data redistribution program.3. Block cannot take up too many resources, such as network bandwidth, during the move.4. The Data redistribution program does not affect the normal operation of name node during execution.Based on these basic points,
the replication factor of the files. This information is also saved by namenode.Iv. Data Replication
HDFS is designed to reliably store massive files across machines in a large cluster. It stores each file as a block sequence. Except for the last block, all the blocks are of the same size. All blocks of files are copied for fault tolerance. The block size and replication factor of each file are configurable. The replication factor can be configured when a file is created and can be changed late
Network administrators use different methods to design high-performance networks. In some cases, the key to the problem lies in the flat layer 2 network design, which may be difficult to manage. This is where the virtual cluster switch can play its role. By using the virtual rack technology, the network team can manage multiple switches just like a switch.
As defined by the high-performance computing data center. This lab focuses on human brain graphs
Policy of the copy storage policy is as follows: 1. Location of the first copy-immediately rack and node (if the HDFS client exists outside the hadoop cluster) or on this node (if the HDFS client runs on a node in the cluster ). Local node policy: copy a file to HDFS in the local path of a data node (hadoop22 is used here): we expect to see the first copy of all the blocks on the node hadoop22. We can see that the Block 0 of the file File.txt is in h
This is a creation in
Article, where the information may have evolved or changed.
Based on the source version number 0.67, "Weed-fs also named Seaweed-fs."
Weed-fs is a very good distributed storage open source project developed by Golang, although it was only star 50+ on github.com when I first started to focus, but I think this project is an excellent open source project with thousands of star magnitude. Weed-fs's design principle is based on a Facebook image storage System Paper Facebook-hays
is still the key parameter of the vswitch. In addition to the exchange performance requirements, there are more technical parameters for the data center switch. The following describes the key parameters of the data center switch, for reference when purchasing, using, and resizing data center networks.
Data Centers are also divided into two types: Box switches and rack-mounted switches. A box switch is a switch with a fixed number of ports and someti
A building is known to have a certain level of computer network information points 200, voice point 100, calculate the floor wiring between the use of the ibdn of the Bix mounting rack model and number, and the number of Bix bar.Tip: The specifications of the IBDN Bix mounting bracket are 50, 250, 300 pairs. The common Bix is 1a4, which can connect 25 pairs of wires.Solution: According to the topic know the total information point is 300.1. The total
copies is related to the reliability and performance of HDFS. The storage location of optimized copies is different from that of other distributed file systems. This feature requires a lot of tuning experience. The rack-aware copy storage policy aims to improve data reliability, availability, and bandwidth utilization. The implementation of the current copy storage policy is based on these efforts. The short-term goal of this strategy is to verify it
The content source of this page is from Internet, which doesn't represent Alibaba Cloud's opinion;
products and services mentioned on that page don't have any relationship with Alibaba Cloud. If the
content of the page makes you feel confusing, please write us an email, we will handle the problem
within 5 days after receiving your email.
If you find any instances of plagiarism from the community, please send an email to:
info-contact@alibabacloud.com
and provide relevant evidence. A staff member will contact you within 5 working days.