ankus | open source data mining / machine learning based MapReduce

 by   suhyunjeon Java Version: Current License: Apache-2.0

kandi X-RAY | ankus Summary

kandi X-RAY | ankus Summary

ankus is a Java library typically used in Big Data, Spark, Hadoop applications. ankus has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. However ankus has 24 bugs. You can download it from GitHub.

Ankus is an open source data mining / machine learning based MapReduce that supports a variety of advanced algorithms. Apache Mahout have the same goal with us, Mahout complicated convert to Sequence files and configure parameters for a wide variety of machine learning algorithms. But as Ankus can see below, Almost do not need to generate input dataset POV(Point of view) analysis as set up a variety of custom parameters Focus on the pre-processing as normalization dataset. OUR GOAL is, machine learning and data mining library on top of Apache Hadoop using the map/reduce paradigm. And they are an open source project.

            kandi-support Support

              ankus has a low active ecosystem.
              It has 26 star(s) with 12 fork(s). There are 10 watchers for this library.
              It had no major release in the last 6 months.
              There are 0 open issues and 4 have been closed. On average issues are closed in 18 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of ankus is current.

            kandi-Quality Quality

              ankus has 24 bugs (8 blocker, 8 critical, 4 major, 4 minor) and 532 code smells.

            kandi-Security Security

              ankus has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              ankus code analysis shows 0 unresolved vulnerabilities.
              There are 12 security hotspots that need review.

            kandi-License License

              ankus is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              ankus releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed ankus and discovered the below as its top functions. This is intended to give you an instant insight into ankus implemented functionality, and help decide if they suit your requirements.
            • Main entry point
            • Creates a Hadoop job
            • Create temporary directory for output
            • Gets configuration properties
            • Run the MR job based on the configuration
            • Set configuration for 1 - step
            • Set the configuration for 2 - job
            • The main entry point
            • Initialize arguments
            • Run the MRJobRunner
            • Runs the MRJob
            • Reduce the values
            • Sets the initial cluster center
            • Reduce the values of the values
            • Runs the MD5 algorithm
            • Entry point for the Middleterm process
            • Main execution method
            • Reduces the values using the edit distance algorithm
            • Run MRJob
            • Runs the algorithm
            • Reduce a set of values
            • Reduce the values according to the algorithm
            • Runs the clustering algorithm
            • Runs the MR statistics driver
            • Reduces the value using cosine algorithm
            • The main method
            Get all kandi verified functions for this library.

            ankus Key Features

            No Key Features are available at this moment for ankus.

            ankus Examples and Code Snippets

            No Code Snippets are available at this moment for ankus.

            Community Discussions


            FetchXml-Request does not work, if it contains 'page' (invalid XML)
            Asked 2019-Oct-01 at 08:47

            I'm building a web-ressource for Dynamics CRM (8.2). When I try to fetch data with fetchXml like this, everything is fine:



            Answered 2019-Sep-19 at 11:33

            I just tried with Page=1 with my below request and Fetchxml and it worked fine for me Note I used Account for my example, but it should not be an issue.



            Json Array Query-Power BI
            Asked 2019-Aug-14 at 10:16

            Hi i have the below JSON, would like to extract in PowerBI Query. My query is not able to extract Array's inside the JSON. I am unable to extract properties array values, where as i am able to extract user values.

            Any help appreciated

            Edit1: Added additional column Renames and achieved result based on @AnkUser solution

            Edit2: Below JSON

            I would like form the power query to return as



            Answered 2019-Aug-14 at 10:16

            If I understand your question correctly, You want your array from propeties to be expanded as column for a Row. To Test your use case I have used your data and I tried to create rows from it. Below screenshot is the result.

            If this is what you need, below is the query I got from PowerBI which gives result.

            Note: You might want to clean Names of column.


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


            No vulnerabilities reported

            Install ankus

            You can download it from GitHub.
            You can use ankus 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 ankus 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 For Gradle installation, please refer .


            Basic statistics computation for numeric/nominal data (3 methods)Pre-processing (Normalization, 1 method)Similarity/correlation analysis for vector type data (3 methods)Classification/clustering analysis (3 methods)CF based recommendation analysis (4 methods)
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          • CLI

            gh repo clone suhyunjeon/ankus

          • sshUrl


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