elasticsearch metrics

This article and everyone to share is mainly Python to calculate the AUC index related content, together to see it, hope to learn python to help you.1. Installing Scikit-learn1.1scikit-learn Dependency· Python (>= 2.6 or >= 3.3),· NumPy (>= 1.6.1),· SciPy (>= 0.9).View each of the three dependent versions above,Python-v Result: Python 2.7.3Python-c ' Import scipy; Print scipy.version.version ' scipy version results: 0.9.0Python-c "Import numpy; Print numpy.version.version "NumPy Result: 1.10.21.

1. Installing Scikit-learn1.1scikit-learn Dependency Python (>= 2.6 or >= 3.3), NumPy (>= 1.6.1), SciPy (>= 0.9). View each of the three dependent versions above,Python-v Result: Python 2.7.3Python-c ' Import scipy; Print scipy.version.version ' scipy version results: 0.9.0Python-c "Import numpy; Print numpy.version.version "NumPy Result: 1.10.21.2 Scikit-learn InstallationIf you have installed NumPy, scipy, and Python and all meet the required conditions in 1.1, you can ru

Ethernet packets.10, outgoing packets rate:outgoing Ethernet packets per secondThe number of outgoing Ethernet packets per second.11. Page-in Rate:number of pages read to physical memory, per secondThe indicator indicates the number of pages exchanged to physical memory per second.12. Page-out Rate:number of pages written to pagefile (s) and removed from physical memory, per secondRepresents the number of pages per second that are removed from physical memory or written to the page.13. Paging R

Label:This paper mainly explains MySQL performance bottleneck analysis, performance indicators, performance index information collection tools and methods, analysis of the use of tuning tools.The article has not been completed, the following is an outline.Performance bottlenecks:SlowPerformance Index:Frequency of VisitsNumber of concurrent connectionsCache Hit RatioIndex useSlow log opening and analysisQuery LogIndicator Information collection:Dstat--mysql5-io--mysql5-cmds--mysql5-keys "See refe

Evaluation algorithm Excellent program, commonly used a series of indicators to measure, mainly including: Precision,recall,f-1 score, why design these values? Can't I use precision alone?1, what is precision?Precison, accuracy, mainly indicates how much of the detected alert is the correct judgment (True POSITIVE,TP).In practice, due to the different proportions of normal and abnormal data in the sample, accuracy can not reflect the real algorithm performance, for example:Cancer detection: It i

Indicators that measure the difference of two orders1. Fitness\[F = \frac{1}{z} \sum_j \frac{w_j}{\alpha (|p_i-q_j|+1) + (1-\alpha) p_i} \]which $p _j$ The position of the result of section $j$ in the sorted order $q _j$ The position of the $j$ result of the sorted order in the standard sort $w _j$ the weights on position $j$ in the standard sort $Z $ normalization factor 2. Kendall tau distance (wikipedia)\[k = \frac{2}{n (N-1)} \sum_{i=1}^{n-1} \sum_{j\[k (i,j) = \begin{cases}

#!/usr/bin/envpython#-*-coding:utf8-*-"" "@Author :villiamsheng@group: LinuxGroup@Date:2011-07-18@Funtion: Updatekvmhoststatus... get_nic:getaweeknetwork flow1, getsevendaysbeforeflow,getmaximumvalue! 2,GetSevendaysbefore flow,getaveragevalue! "" "Importos,sys,libvirt,socket,shutil,refromstatvfs importf_blocks,f_bavail,f_bsizeclasskvm_os_status (object): def __init__ (self): NBSP;NBsp;self.vmm={} Try:self.conn=libvirt.open (None) exceptlibvirt.libvirtError,e: printedefget_ Mem (self):try: f=open

TPS in the formula to get the number of transitions that each thing causes. Therefore, to reduce the CSR, you must work on the switch caused by each TPS, only n this value down, the CSR can be reduced, ideally n=0, but in any case, if n >= 4, you should check. In addition to the online csr Additional Information: These three metrics can be monitored in loadrunner, and in Linux, you can also use Vmstat to view R (Load arerage), in (Interrupt) and

How to view disk I/O operation information The SET STATISTICS IO on command is a message that enables SQL Server to display information about the amount of disk activity generated by Transact-SQL statements. We can be very useful when analyzing index performance. With this property enabled, after executing the SQL statement, we receive information similar to the following, which helps us analyze SQL performance: (3999 row (s) affected) Table ' Chargecl '. Scan count 1, logical read 9,547 times

I. Assessment METHODOLOGY 1. Leave the method The set up method directly divides the dataset D into two mutually exclusive collections, one of which is used as the training set S and the other as the test set T, and the T is used to evaluate the test error as an estimate of the generalization error when the model is trained at S. 2. Cross-validation method "Cross-validation" first divides the dataset D into K-sized mutually exclusive subsets, each of which maintains the consistency of the data d

student's performance, use the following statement: db.students.aggregate([{$project: {minScore: {$min: "$scores.score"}}}]) The statement inside minScore is equal to an alias and can be used for other. The results are as follows: { "_id" : 1, "minScore" : 34.85718117893772 } { "_id" : 3, "minScore" : 1.694720653897219 } { "_id" : 2, "minScore" : 6.301851677835235 } { "_id" : 4, "minScore" : 19.21886443577987 } { "_id" : 5, "minScore" : 10.53058536508186 } { "_id" : 7, "minScore" : 42.487806669

, occasionally do not have to worry about, if a long time, then you have to start to consider solving the disk IO performance issues.6.Processor:% Processor timeThis is an indicator for monitoring CPU conditions (similar to disk Time). This is a key parameter for observing CPU utilization. If the value of the processor Time counter continues to exceed 80%, there is a bottleneck on the CPU. If it only happens occasionally, it may indicate that there is a particular CPU-consuming query at this poi

time. However, this number will be different each time the query is run, except that the range of changes does not vary greatly over time. The total time is the amount of time that is required to execute the query (no time to block or read data), and because the load on the server is constantly changing, the range of this data can sometimes be quite large. In general, the performance of a query statement can be compared in several parameters in a quantitative way: 1, CPU time. Compare the CPU r

InnoDB table to monitor the remaining space of the InnoDB table.21.QPS Query volume per secondQPS = Questions (or Queries)/secondsMySQL > Show/* global * * status like ' Question ';22.TPS (transaction volume per second)TPS = (com_commit + com_rollback)/secondsMySQL > Show status like ' Com_commit ';MySQL > Show status like ' Com_rollback ';23.key Buffer hit RatioKey_buffer_read_hits = (1-key_reads/key_read_requests) * 100%Key_buffer_write_hits = (1-key_writes/key_write_requests) * 100%Mysql> Sh

/s rkb/s wkb/s avgrq-sz avgqu-sz await r_await w_await SVCTM%utilVDA 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00iostat-x VDA 1 2 command meaning: Every 1 seconds print the VDA this disk usage information, print two times altogether. %util indicates CPU busy, higher and busierUniversal Command-SAR(System Activity Report) is one of the most comprehensive systems performance analysis tools available on Linux and can be used to report system activity in many ways.Performance mon

In linux, The ElasticSearch.6.2.1 and head, Kibana, X-Pack, SQL, IK, and PINYIN plug-ins are configured and installed,1. Install elasticsearch-head1.1 directly using command Installation Error elasticsearch-6.2.0\bin>elasticsearch-plugin install elasticsearch-headA tool for

Distributed search Engine ElasticsearchIntroducedElasticsearch is an open source distributed search engine based on Lucene, with distributed multiuser capability. Elasticsearch is developed in Java, provides a restful interface, can achieve real-time search, high-performance computing, while the elasticsearch scale is very strong, do not need to restart the service, basically up to 0 configuration. But at t

processing. LUCENE,SOLR, ElasticSearch?Now the mainstream search engine is probably: Lucene,solr,elasticsearch.They are indexed based on an inverted index, what is an inverted index? WikipediaInverted index (English: Inverted index), also often referred to as a reverse index, place file, or reverse file, is an indexed method that is used to store the mapping of a word in a document or group of documents under a full-text search. It is t

ElasticSearch cluster creation instance I started to research and search, and set up a simple ElasticSearch search cluster on my own virtual machine. I hope it will be helpful. Operating System Environment: Red Hat 4.8.2-16 Elasticsearch: elasticsearch-1.4.1 Cluster Construction Method: two nodes on one virtual machine

.jar Metrics-core-2.2.0.jar Scala-library-2.9.2.jar Zkclient-0.3.jar question : How to export the current jar package and its dependent packages when MAVEN is packaged. Reference Thilinamb Flume Kafka sink configuration The is configured in the properties file to configure the sample file: # Kafka Source for retrieve from Kafka cluster. Agent.sources.seqGenSrc.type = Com.github.ningg.flume.source.KafkaSource #agent. sources.seqGenSrc.batchSize = 2