logo
Home JAVASCRIPTJAVACHASHPYTHONPHPCPPIOSSQLHTML
down
shadow

Hadoop vs Mahout and Machine learning Issue?


Hadoop vs Mahout and Machine learning Issue?
» hadoop » Hadoop vs Mahout and Machine learning Issue?
By : Sravan S Attuvilakom
Date : November 19 2020, 03:59 PM
hop of those help? Hadoop is a framework based on distributed storage and distributed processing concepts for processing large data. It is having a distributed storage layer called hadoop distributed file system (HDFS) and a distributed processing layer called mapreduce. Hadoop is designed in such a way that it can run on commodity hardware. Hadoop is written in Java.
Mahout is a member in hadoop ecosystem which contains the implementation of various machine learning algorithms. Mahout utilizes hadoop's parallel processing capability to do the processing so that the end user can use this with the large data sets without much complexity. User can either reuse these algorithms directly or use with some customizations, but no need to worry much about the complexities of the mapreduce implementation of the algorithm.
code :


Share : facebook icon twitter icon
Using the Apache Mahout machine learning libraries

Using the Apache Mahout machine learning libraries

By : Jérôme Baudin
Date : March 29 2020, 07:55 AM
seems to work fine This article is fairly thorough and has good examples: https://www.ibm.com/developerworks/java/library/j-mahout/index.html
Machine learning library for .net analog of Apache Mahout

Machine learning library for .net analog of Apache Mahout

By : user3227937
Date : March 29 2020, 07:55 AM
it should still fix some issue I don't believe I'm familiar with anything similar to Apache Mahout build on top of .NET, but I believe you could use the following approach to get pretty close (how close you can actually get depends on the specifics of what you're trying to do).
Mahout is in fact a collection of standard machine learning algorithms implemented on top of Apache Hadoop to allow them scale to large data sets, so to get the same effect in a .NET environment you'll need a distributed computation solution (and to keep with the spirit of Mahout, I'd use Map/Reduce implementation), and a machine learning library. Then you can pass the computation of the learning tasks to your Map/Reduce cluster.
Does MapR have scalable machine learning algos. Like Mahout?

Does MapR have scalable machine learning algos. Like Mahout?

By : Anshuman Khandelwal
Date : March 29 2020, 07:55 AM
With these it helps As far as I know, MapR is only a "faster" Hadoop. There are no algorithms included.
So your jobs should be compatible.
Do I need to master Hadoop before learning Mahout?

Do I need to master Hadoop before learning Mahout?

By : i.am.here.to.learn
Date : March 29 2020, 07:55 AM
will be helpful for those in need Master? No. If you are using the parts of the project based on Hadoop then basic knowledge is required but sufficient. If you are using the parts not based on Hadoop then you don't need Hadoop at all.
Do we need mahout and hadoop on same machine?

Do we need mahout and hadoop on same machine?

By : Allen Lyu
Date : March 29 2020, 07:55 AM
it should still fix some issue If you don't have Hadoop on your machine, Mahout will run in pseudo-distributed mode on the current machine.
Nonetheless, Windows and Hadoop don't really like each other, and depending on your Mahout version (more specifically the Hadoop dependency it has), you will most likely run into this issue (link). The issue is present from Hadoop 0.20.204 onwards (although I must admit that I don't know if it has been fixed on the latest version of Hadoop)
shadow
Privacy Policy - Terms - Contact Us © ourworld-yourmove.org