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Decision tree Induction (ID3 attribute selection metric) Java implementation

General Decision tree Induction framework See previous blog post: http://blog.csdn.net/zhyoulun/article/details/41978381ID3 Attribute Selection Metric principleID3 uses information gain as a property selection metric. The measure is based on the pioneering work of Shannon in the study of the value of the message or the information theory of the "message content". The node n represents or stores the tuple of

Storm [practice series-how to write a crawler-metric series] 1

;importjava.util.concurrent.ConcurrentMap;importjava.util.concurrent.atomic.AtomicLong;/***@authorEnnoShioji([emailprotected])*/publicclassDebugMetricConsumerimplementsIMetricsConsumer{privatestaticfinalLoggerlog=LoggerFactory.getLogger(DebugMetricConsumer.class);privateIErrorReportererrorReporter;privateServerserver;//MakevisibletoservletthreadsprivatevolatileTopologyContextcontext;privatevolatileConcurrentMap Prerequisites: Storm has added an indicator statistics framework starting fro

Commonly used PCB metric units

Label: HTTP Io strong SP Div C on r ef 1 feet = 12 inch 1 inch = 1000 mill Mil 1mil = 25.4um 1mil = 1000uin (MIL ears sometimes become British) 1um = 40uin (some companies call micro-inches as microphones, but they are actually micro-inches) 1 oz = 28.35g/square foot = 35 microns H = 18 microns 4mil/4mil = 0.1mm/1mm mm linewidth 1asd = 1 AMPS/square meters = 10.76 AMPS/square feet 1 AM = 1 amps min = 60 couplet is mainly used for precious metal plating such as gold plating 1 square me

Metric Metrics tool for version Metrics-java

IntroducedMetrics is a package of metrics for Java services, embedded in Java code Metrics code, you can easily monitor the business code of the various indicators, at the same time, metrics can be very good with ganlia, graphite combination, Easy to provide graphical interface. The basic use of the core package (currently stable version 3.0.1) directly into the Pom file can be configured as follows: Dependency > groupId >com.codahale.metricsgroupId> Artifactid >metrics-coreartifactid>

Decision Tree Generalization (ID3 attribute selection metric) Java implementation

General Decision tree Induction Framework See previous posts: http://blog.csdn.net/zhyoulun/article/details/41978381 ID3 Attribute Selection Metric principle ID3 uses information gain as a property selection metric. The measure is based on Shannon's pioneering work in the study of the value of messages or the information theory of "informative content". The node n represents or holds the tuple of partition

Hadoop hbase Metric name fully explained __hadoop

and colleagues spent 1 days explaining all the metric of Hadoop and HBase, and documenting: system parameter Monitoring metrics Load_one average system load per minute Load_fifteen average system load per 15 minutes Load_five average system load per 5 minutes Boottime system boot time, accurate to seconds BYTES_IN Network reception speed, Unit bytes/sec Bytes_out Network send speed, Unit bytes/sec Cpu_aidle Free CPU percent started Cpu_idle Idle CPU

Difference between real-time clock, system clock, and CPU clock

Http://blog.sina.com.cn/s/blog_68f909c30100pli7.htmlReal-time Clock: RTC Clock, which provides real time information for years, months, days, hours, minutes, seconds, and weeks, powered by a back-up battery, and RTC still maintains the correct time and date when you shut down the system at night and open the system in the morning.System clock: Is a logical

Distance algorithm metric

0R: Sample A is 0 and sample B is the number of dimensions of 1S: The number of dimensions for both sample A and B are 0Then the Jaccard similarity coefficient of sample A and B can be expressed as:Here p+q+r can be understood as the number of elements of the set of A and B, and P is the number of elements of the intersection of A and B.The Jaccard distance between sample A and B is expressed as:4. Adjust cosine similarity algorithmThe cosine similarity is more about distinguishing the differen

Non-empty room metric Specification

No room and no room, it is to control the pollutants of airborne particles, harmful gases, and bacteria in a certain amount of air. The silent room is determined by the number of micro-particles containing more than um. The following table lists the number of non-existent rooms defined in the "US state standard 209d. The average person probably knows the size of micron (micron, u). Some real-world comparisons here allow you to learn more about the size of micron

9 software metric rules for the sm Process

The following nine Software metric guidelines for the sm (Practical Software and Systems Measurement) process: 1) Project issues and objectives drive the measurement requirements 2) The developer's process defines how the software is actually measured. 3) Collect and analyze data at a level of detail sufficient to identify and isolate software problems. 4) Implement an independent analysis capability. 5) Use a structured analysis process to trace the

Cookbook 6.1 temperature Metric Conversion

class Temperature(Object): coefficients={‘c‘:(1.0,0.0,-273.15),‘f‘:(1.8,-273.15,32.0),‘r‘:(1.8,0.0,0.0)} def __init__(self,**kwargs): try: name,value = kwargs.popitem() except KeyError: name,value = ‘k‘,0 if kwargs or name not in ‘kcfr‘: kwargs[name] = value raise TypeError,‘invalid arguments %r‘ % kwargs setattr(self,name,float(value)) def __getattr__(self,name): try: eq = self.cofficients[name]

Metric rapid development Platform Mesh parts Bulk Delete

When we build the project, we often need to build the function of deleting data, which is generally a data deletion, but sometimes we may need to delete the useless data in bulk. First we check the Display Identity column property in the grid assembly, as shown in:Then build a feature for bulk deletion in feature management, as shown in:The code in the grid part calls the Get Identity row method:Original address: http://bbs.delit.cn/thread-697-1-1.htmlReprint please indicate the source;Author:

Metric rapid development platform: Mesh Parts Batch Update data

" kilogram " ,1) 650) this.width=650; "id=" aimg_1047 "src=" http://bbs.delit.cn/data/attachment/forum/201602/18/ 215608exoxewsyb2elq1xq.png.thumb.jpg "alt=" 215608exoxewsyb2elq1xq.png.thumb.jpg "/>Method Two:Using the method of the DataTable class, loop the table each row and set the field values.' defines a variable store that gets the DataTable for the current grid part. Production Plan Bulk Import is the current grid part nameDim dt= Production Planning Batch import.

SQL Server query statement running metric value monitoring Learning Summary

Objective In the last article, we analyzed how the query optimizer works, including: detailed operation steps of the query optimizer, filtering condition analysis, index item optimization, and so on. In this article we analyze the detection of several key metric values during the course of our operation. The operation problem of the statement is analyzed by these index values, and the optimization method is analyzed. Through this article we can le

Metric rapid development platform using the. Net,api function

when writing code in the platform, we can call. NET, but you need to be aware of referencing the full nameFor example:' Determine if the file existsSystem.IO.File.Exists ("D:.txt")' Read file contentsDim Str=system.io.file.readalltext ("D:.txt", System.Text.Encoding.UTF8)' Delete fileSystem.IO.File.Delete ("D:.txt")[SIZE=13.3333330154419PX] More functions follow up ...Original address: http://bbs.delit.cn/thread-750-1-1.htmlReprint please specify the source:Author:

Tao Real Analysis-12th chapter metric Space 4/5 knots

12.4 Cauchy sequence and complete metric space Exercises12.4.1-12.4.3 according to the hint, and the hint to prove exactly the same, only wrote the 12.4.1.12.4.1 according to the tipsFor Xn x^n, for any ε\varepsilon, there is n, which satisfies if n>n, then D (xn−x) ≤εd (x_n-x) \le \varepsilon, because NJ N_j is strictly increased, then there is M, which satisfies if J > M, then Nj>n N_j>n, so D (NJ) −x) ≤εd (x^{(N_j)}-x) \le\varepsilon. 12.4.2 acco

Clock configuration and clock tree resolution of 2011-03-10 17:04 STM32 clock System

First look at a STM32 clock system block diagram In STM32, there are five clock sources, namely HSI, HSE, LSI, LSE, PLL. HSI internal high-speed RC oscillator clock, 8mhz;hse, external high-speed clock, 4M__16MHZ;LSI, internal low-speed RC clock, 40KHZ; LSE external low-sp

What is a system clock? What is a clock system? What is the function of the clock system?

1.Q: What is the system clock. What is a clock system. A: Usually referred to as the system clock refers to the clock system, which is the oscillator (signal source), timing wake-up, frequency divider and other components of the circuit. The commonly used signal sources are crystal oscillators and RC oscillators. 2.Q

How Xilinx FPGA global clock and global clock resources are used

Not much understanding of the FPGA global Clock, thus reprinted a document:Http://xilinx.eetop.cn/?action-viewnews-itemid-42At present, synchronous sequential circuits are generally recommended for large designs. The synchronous sequential circuit is based on the design of Clock trigger, which puts forward higher requirements for clock cycle, duty ratio, delay an

15 ultra-powerful CSS3 disc clock animations and css3 disc clock animations

15 ultra-powerful CSS3 disc clock animations and css3 disc clock animations Clock plug-ins are often used on webpages, especially personal blogs. A personalized clock plug-in not only makes the page look beautiful, but also allows visitors to see the current date and time. Today, we have collected 15 ultra-powerful dis

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