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dami | algorithms of data mining , See feluca project | Machine Learning library

 by   lgnlgn Java Version: Current License: No License

 by   lgnlgn Java Version: Current License: No License

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kandi X-RAY | dami Summary

dami is a Java library typically used in Artificial Intelligence, Machine Learning applications. dami has no bugs, it has no vulnerabilities and it has low support. However dami build file is not available. You can download it from GitHub.
algorithms of data mining, See feluca project instead
Support
Support
Quality
Quality
Security
Security
License
License
Reuse
Reuse

kandi-support Support

  • dami has a low active ecosystem.
  • It has 14 star(s) with 18 fork(s). There are 8 watchers for this library.
  • It had no major release in the last 12 months.
  • There are 0 open issues and 1 have been closed. There are no pull requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of dami is current.
dami Support
Best in #Machine Learning
Average in #Machine Learning
dami Support
Best in #Machine Learning
Average in #Machine Learning

quality kandi Quality

  • dami has 0 bugs and 0 code smells.
dami Quality
Best in #Machine Learning
Average in #Machine Learning
dami Quality
Best in #Machine Learning
Average in #Machine Learning

securitySecurity

  • dami has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
  • dami code analysis shows 0 unresolved vulnerabilities.
  • There are 0 security hotspots that need review.
dami Security
Best in #Machine Learning
Average in #Machine Learning
dami Security
Best in #Machine Learning
Average in #Machine Learning

license License

  • dami does not have a standard license declared.
  • Check the repository for any license declaration and review the terms closely.
  • Without a license, all rights are reserved, and you cannot use the library in your applications.
dami License
Best in #Machine Learning
Average in #Machine Learning
dami License
Best in #Machine Learning
Average in #Machine Learning

buildReuse

  • dami releases are not available. You will need to build from source code and install.
  • dami has no build file. You will be need to create the build yourself to build the component from source.
  • Installation instructions are not available. Examples and code snippets are available.
  • dami saves you 2044 person hours of effort in developing the same functionality from scratch.
  • It has 4490 lines of code, 398 functions and 62 files.
  • It has medium code complexity. Code complexity directly impacts maintainability of the code.
dami Reuse
Best in #Machine Learning
Average in #Machine Learning
dami Reuse
Best in #Machine Learning
Average in #Machine Learning
Top functions reviewed by kandi - BETA

kandi has reviewed dami and discovered the below as its top functions. This is intended to give you an instant insight into dami implemented functionality, and help decide if they suit your requirements.

  • Main train method .
    • Runs a training job .
      • Compute the rank .
        • initialize the space
          • Splits the data .
            • load the data info from the classinfo
              • Read a line .
                • Runs RMSE on the data storage .
                  • Fills the buffer with the next feature vector .
                    • Convert a vector to a dataset .

                      Get all kandi verified functions for this library.

                      Get all kandi verified functions for this library.

                      dami Key Features

                      utility: Buffered vectors pool for dataset IO, High performance and simple text parser. (More tests need)

                      classification: SGD for logistic regressions

                      recommendation: SlopeOne, SVD, RSVD, itemneighborhood-SVD (see movielens_converter.py)

                      significant test: swap randomization

                      graph: Pagerank.

                      similarity: simhash

                      default

                      copy iconCopydownload iconDownload
                      >*2012/10/22 Release Notes:*
                      
                      > - L1 & L2 logistic regression
                      
                      > - memory cost estimation
                      
                      > - simple commandline integration for LR
                      
                      >*2012/7/22 Release Notes:*
                      
                      > - Asynchronous vector buffer for dataset IO
                      
                      > - High performance and simple text parser(only for digital related chars)
                      
                      > - small refactoring.
                      
                      >*2012/7/12 Release Notes:*
                      
                      > - code refactoring for recommendation and IO
                      
                      > - To run RMSE for recommendation, you first need to see *`movielens_convert.py`* for converting and/or splitting movielens data, and see *`CFDataConverter`* and *`TestSVD`*
                      
                      ----------
                      To achieve computation efficiency and memory utilization, two ways we have just adopted.
                      
                      *1: Using "id" as index of array for fetching data.*
                      
                      *2: Only maintaining model in memory and saving data to converted bytes for IO*
                      
                      So it's highly recommemded you use continuous ids for the algorithms :)
                      
                      My Chinese blog : [http://blog.csdn.net/lgnlgn](http://blog.csdn.net/lgnlgn)
                      E-mail : gnliang10 [at] 126.com

                      Multiple return type(Array<string> | Boolean) for arrow function

                      copy iconCopydownload iconDownload
                      Array<string> | boolean // or string[] | boolean
                      
                      Array<string> | Boolean
                      
                      Array<string> | boolean // or string[] | boolean
                      
                      Array<string> | Boolean
                      

                      Unable to run Ionic 4 app using cordova after installing Firebase X

                      copy iconCopydownload iconDownload
                      <preference name="android-minSdkVersion" value="19" />
                      
                      <preference name="android-minSdkVersion" value="21" />
                      
                      <preference name="android-minSdkVersion" value="19" />
                      
                      <preference name="android-minSdkVersion" value="21" />
                      

                      Community Discussions

                      Trending Discussions on dami
                      • Multiple return type(Array&lt;string&gt; | Boolean) for arrow function
                      • Fail to get remote data (passive mode, TLS implicit, client certificate + login/pwd authentication)
                      • Unable to run Ionic 4 app using cordova after installing Firebase X
                      • How to resolve Babel issue when trying to run Geolocation on Android device?
                      Trending Discussions on dami

                      QUESTION

                      Multiple return type(Array&lt;string&gt; | Boolean) for arrow function

                      Asked 2022-Mar-31 at 10:23

                      I have an arrow function in a class that returns either array or boolean:

                      class A{
                      
                         myfunction=(val:number):Array<string>|Boolean=>{
                           return number>1000?true:["jack","robin","harry"];
                         }
                      }
                      

                      and I want to call the function as:

                      const myclass=new A();
                      
                      const arr=myclass.myfunction(10);
                      
                      if(typeof arr==="boolean"){
                        console.log("dami");
                      }else{
                         if(arr.indexOf("harry")>0){
                                ##here at indexOf i get an error :Property 'indexOf' does not exist on type 'Boolean | string[]'.
                           console.log("we found harry");
                         }
                      }
                      

                      Calling indexOf gives an error saying : Property 'indexOf' does not exist on type 'Boolean | string[]'. What am I doing wrong here?

                      ANSWER

                      Answered 2022-Mar-25 at 08:24

                      Your return type should refer to the primitive boolean type:

                      Array<string> | boolean // or string[] | boolean
                      

                      And not the object Boolean type:

                      Array<string> | Boolean
                      

                      As the TypeScript handbook notes:

                      The type names String, Number, and Boolean (starting with capital letters) are legal, but refer to some special built-in types that will very rarely appear in your code. Always use string, number, or boolean for types.

                      Source https://stackoverflow.com/questions/71613839

                      Community Discussions, Code Snippets contain sources that include Stack Exchange Network

                      Vulnerabilities

                      No vulnerabilities reported

                      Install dami

                      You can download it from GitHub.
                      You can use dami like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the dami component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

                      Support

                      For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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