metrics

Collectd pushes the actual host system metrics to graphite instead of the docker container's restricted system metrics

て烟熏妆下的殇ゞ 提交于 2019-12-11 13:00:52
问题 I've a docker container deployed with a memory restriction of 300M and CPU-1 Core. When the container starts and my program executes, it is adhering the memory restriction to 300M and CPU to 1st CPU Core. However the collectd running inside the container pushes the metrics of Memory and Swap memory of the actual box ( 16 GB RAM ) instead of the restricted containers (300MB RAM). Is there any configuration that I'm missing? Docker run command: docker run -e CONTAINER_NAME='sample_docker

Metrics for Change Size when using diff tools

本秂侑毒 提交于 2019-12-11 11:51:31
问题 Does anybody know any diff tool which counts some metrics for "Change Size". I'm searching for a diff tool that uses the diff output and reports something like: The number of changed/added/removed attributes; The number of changed/added/removed operations; The nunmber of changed class' "extends/implements"; The nunmber of changed class' name/package ... It should be, of course, an AST diff tool. A simple text-based diff tool won't be able to do that. This report would be interesting to give

Graphing application Memory and CPU performance metrics Java Netbeans

泪湿孤枕 提交于 2019-12-11 10:09:13
问题 I realize there are plenty of questions similar to this one but some of the answers are dated and I'm not sure there is something better available to Java developers now. I am not trying to find a problem with an application. I need to show 'graphically' memory and cpu usage over time. I tried using the JVisualVM Profiler that comes with NetBeans but the application consists of 4 separate processes running simultaneously and communicating with each other. I need to find the platform memory

Keras: correctness of model and issues with custom metric

只谈情不闲聊 提交于 2019-12-11 08:47:39
问题 I'm trying to create the autoencoder for processes. Each process is a sequence of events and each event represents as number from 0 to 461 (and important, that events with close numbers are not similar, numbers were given out randomly). Each process has length 60 and total count of processes is n . So my input data is array (n, 60) . First, I created the Embedding layer to convert events numbers to one-hot representation: BLOCK_LEN = 60 EVENTS_CNT = 462 input = Input(shape=(BLOCK_LEN,))

How to reset metrics every X seconds?

情到浓时终转凉″ 提交于 2019-12-11 08:17:15
问题 I am trying to measure application and jvm level metrics on my application using DropWizard Metrics library. Below is my metrics class which I am using across my code to increment/decrement the metrics. I am calling increment and decrement method of below class to increment and decrement metrics. public class TestMetrics { private final MetricRegistry metricRegistry = new MetricRegistry(); private static class Holder { private static final TestMetrics INSTANCE = new TestMetrics(); } public

Keras中Sequential模型及方法详细总结

爷,独闯天下 提交于 2019-12-11 04:43:32
Sequential 序贯模型 序贯模型是函数式模型的简略版,为最简单的线性、从头到尾的结构顺序,不分叉,是多个网络层的线性堆叠。 Keras实现了很多层,包括core核心层,Convolution卷积层、Pooling池化层等非常丰富有趣的网络结构。 我们可以通过将层的列表传递给Sequential的构造函数,来创建一个Sequential模型。 from keras . models import Sequential from keras . layers import Dense , Activation model = Sequential ( [ Dense ( 32 , input_shape = ( 784 , ) ) , Activation ( 'relu' ) , Dense ( 10 ) , Activation ( 'softmax' ) , ] ) 也可以使用.add()方法将各层添加到模型中: model = Sequential ( ) model . add ( Dense ( 32 , input_dim = 784 ) ) model . add ( Activation ( 'relu' ) ) 指定输入数据的尺寸 模型需要知道它所期待的输入的尺寸(shape)。出于这个原因,序贯模型中的第一层(只有第一层,因为下面的层可以自动的推断尺寸

Can't seem to get Tensorflow's tf.metrics.auc working

拈花ヽ惹草 提交于 2019-12-11 03:44:36
问题 Tensorflow has a function to calculate AUC: tf.metrics.auc(). Here is my a section of my code trying to compute auc: init = tf.global_variables_initializer() with tf.Session() as sess: sess.run(init) for epoch in range(training_epochs): sess.run(optimizer, feed_dict = {x : x_train, y : y_train, p_keep_input: 0.8, p_keep_hidden: 0.5}) avg_cost = sess.run(cost, feed_dict = {x : x_train, y : y_train, p_keep_input: 0.8, p_keep_hidden: 0.5}) if epoch % display_step == 0: training_acc = accuracy

Spring Integration Channel Statistics Metrics

假如想象 提交于 2019-12-11 02:37:13
问题 somehow I dont catch the Spring-Integration Metrics Content. What I want to have is a statistical output about, how many message/second goes through a message channel, what is the min and the max throughput. If I use newTicketChannel.getSendRate() , then I become following output: What is clear to me is N (number of Messages). Mean for me is the number of messages what have been progressed each second (?). But what is totally unclear to me are the values of min and max . I need something like

Adding metrics to JMX

荒凉一梦 提交于 2019-12-11 02:14:56
问题 I have 2 questions regarding JMX: What can you measure in your application using JMX? Is it possible to add metrics to JMX? For instance: seeing how much time a certain operation took. thanks 回答1: You can add whatever metrics you like, you decide what you want to monitor. For the second question, yes you can measure how much time some operation take. One easy to implement your JMX metrics is to use Spring annotations : http://docs.spring.io/spring/docs/3.2.4.RELEASE/spring-framework-reference

How exclude simple getter and setter from sonar?

蹲街弑〆低调 提交于 2019-12-11 00:09:36
问题 There is the way to exclude getter and setters from sonar report. Suppose I have 2 "getters": public int getId(){ return this.id; } public int getComplexId(){ int result = 0; // some complex calculation there return result; } It is possible to exclude getId() and include getComplexId() simultaneously? Can Sonar analyze simple return this.id from complex code? 回答1: You can use NOPMD comment to avoid Sonar analysis. public int getId(){ // NOPMD return this.id; } public int getComplexId(){ int