pacemaker recall

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)) "accuracy and recall rate " Precision, recall, thresholds = Precision_recall_curve (Y_train, Clf.predict (X_train)) Answer = Clf.predict_proba (x) [:,1] Print (Classification_report (y, answer, target_names = [' thin ', ' fat ')]) The output looks similar to the following: [0.2488562 0.7511438] Array ([[1.6, 60.], [1.7, 60. ], [1.9, 80.], [1.5, 50.], nbs P [1.6, 40.], [1.

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 pe

algorithm model is also relatively large worldwide, containing tens of billions of primitive features and billions of vector features.The overall training process is the online server record real-time characteristics, import into the Kafka file queue, and then further import Storm cluster consumption Kafka data, the client callback recommended Label construction training samples, and then based on the latest samples to update the model parameters on-line training, the final model is updated.The

the installation package into four parts: Cluster Glue, Resource Agents, heartbeat, and pacemaker. Glue: http://hg.linux-ha.org/glue 2. Compile and install glue Tar-xjvf Reusable-Cluster-Components-glue--5e06b2ddd24b.tar.bz2Cd Reusable-Cluster-Components-glue -- 5e06b2ddd24b./Autogen. sh./Configure -- prefix = $ PREFIX -- with-daemon-user =$ {CLUSTER_USER} -- with-daemon-group =$ {CLUSTER_GROUP} -- enable-fatal-warnings = noMakeMake install 3. Compil

?? Resource proxies (RA ). A resource proxy is a program, usually a shell script that includes starting, stopping, and monitoring services (resources ). The most common resource proxy is the LSB initialization script. However, HeartBeat also supports more flexible and powerful open cluster architecture resource proxy APIs. The heartbeat proxy is written to the OCF specification. The resource proxy is called only by the local resource manager. Third parties can define their own proxies in the fi

responsible for maintaining the information of the nodes of the cluster and their prior communication.Cluster Glue: Equivalent to an intermediate layer, which is used to correlate heartbeat and pacemaker, consisting mainly of 2 parts, namely LRM and Stonith.Resource Agent: A collection of scripts used to control service start-stop and monitor service status, which will be called by LRM for various resources to start, stop, monitor and so on.Pacemaker

Sometimes, the performance of a single server may not be able to cope with large-scale service requests, and in the event of a failure, it can cause users to be inaccessible for a period of time. With clustering technology, you can get relatively high returns on performance, reliability, and flexibility at a lower cost.A cluster is a set of independent, interconnected computer groups that are managed in a single system mode, or used for load sharing, or for enhanced reliability, or for high-spee

First, the cluster type:1. Load Balancer Cluster (LB cluster--load balancing):Considering the increase of server capacity is the main technology for scalability expansion.Consider an extension when the following scenario occurs for concurrent requests:1200 request: 1s1500 Request: 2s1800 Request: 10sExtension Type:Scale up: upward, requiring more powerful servers, the downside is that the upper limit is limited and its cost-effective.Scale out: More than n hosts are required.A, LB software solut

GitHubAvailabilityIssue summary GitHub BitsCN.com This week, the GitHub website experienced two major inaccessible incidents and several hours of service degradation. The GitHub O M team specially published a Blog to summarize the entire event process. The main cause of the accident can be summarized: 1. the Active role of the database is switched when the failover switch should not occur. First, several failovers of the 'active' database role happened when they shouldn't have. 2. a split-b

, received, and sent to the kernel, but the stored procedure of the slave node does not respond to the process. C: Synchronous model. The packet is sent to the slave node. The slave node has received the packet and sent to the kernel. the kernel has stored the data packet to the disk and returned the result to the master node, this is the default data transmission model to ensure data integrity. Installation environment: Centos6.5. For the installation process of corosync and

, and then set the environment variable, and finally the installation of heartbeat, the process is as follows: 1. Add Users and Groups Groupadd haclient Useradd-g haclient Hacluster 2. Set environment variable Vi/root/.bash_profile, add the following: Export Prefix=/usr/local/ha Export lcrsodir= $PREFIX/libexec/lcrso Export Cluster_user=hacluster Export Cluster_group=haclient Export cflags= "$CFLAGS-i$prefix/include-l$prefix/lib" Getent Group ${cluster_group} >/dev/null | | Groupadd-r

ReplicationThe principle of MySQL replicationMySQL Replication Solution IntroductionThe construction of MSSMySQL Replication based on GtidsWhy use Gtids-based MySQL ReplicationHow to improve replication performanceReplication capacity and Error logsReplication Monitoring and automatic failoverReplication for automatic failoverReplication introduction and configuration of the dual master21-How to get more and more data traffic is no longer a burdenMySQL Read and write Separation technology overv

and movie_target.npy to save time. 3, Code and analysis The code for the logical regression is as follows: #-*-Coding:utf-8-*-from matplotlib import pyplot import scipy as SP import numpy as NP from matplotlib import Pylab F Rom sklearn.datasets import load_files from sklearn.cross_validation import train_test_split from sklearn.feature_ Extraction.text Import Countvectorizer from Sklearn.feature_extraction.text import Tfidfvectorizer from Sklearn.naive_ Bayes import MULTINOMIALNB from sklear

Game on-line for a long time, some players slowly lost, in order to let just lost players back again so do a recall function! If a Level 200 player is not online for 10 days and a successful recall, it will give the recall player a generous bonus! Q: How do I recall this lost player? A: The

(intersection over Union,iou) and the threshold (e.g. 0.5), and the accuracy of the target recognition by the comparison between the confidence score and the threshold value. The above two steps comprehensively determine whether the target detection is correct, finally the multi-category target detection problem is converted to "a certain kind of object detection correct, detection error" of the two classification problem, so that the confusion matrix can be constructed, using a series of indic

divided into training set and verification set, and the model selection and parameter adjustment are based on the performance of the validation set.2.4 Performance metricsPerformance measure, the most common performance metric for regression tasks is "mean square error" (Mean squared error)　　error rate and accuracy : The error rate is the proportion of samples with the wrong number of samples, and the accuracy is the proportion of the correct number of samples to the total number of samples.　　p

ability of the classifier to the positive example;4) Effect degree (specificity)specificity = tn/n, which represents the proportional proportion of all negative cases, measures the recognition ability of the classifier to the negative case;5) accuracy (precision)Precision is the measure of accuracy, representing the proportion of the example that is divided into a positive example, precision=tp/(TP+FP);6) recall rate (

There is more than one label for a picture in the Multi-label Image classification (Multi-label image classification) task, so the evaluation cannot be categorized by the standard single-label image, which is mean accuracy, which uses a similar approach to information retrieval- MAP (mean Average Precision). Although the literal meaning of map and mean accuracy look similar, but the calculation method is much more cumbersome. p-r Curve Drawing uses a trained model to get the confidence score

(); Return value: If the query fails, false is returned. if the query succeeds, multiple data entries are returned. Array ('id' => 11, 'name' => 'recall blog 1'), array ('id' => 12, 'name' => 'recalling blog 2 '),) Find () returns a piece of data. $res = $obj->field('id,name')->where('id=10')->find() Return value If the query fails, false is returned. if the query succeeds, a data record is returned. Array ('id' => 10, 'name' => '