What is Mahout?.
Apache Mahout is a powerful, scalable machine-learning library that runs on top of Hadoop MapReduce. It is an open source project that is primarily used for creating scalable machine learning algorithms.
| Maintained by | License Type | Popular Examples | Support | Updates | Developer Skills |
|---|---|---|---|---|---|
| Team of volunteer developers | Apache License 2.0 | e-commerce applications | mahout.apache.org | – | JavaScript, ASP.NET, SQL Server |
| Often Compared to | Testing | Accessibility | Maintained by | Repository |
|---|---|---|---|---|
| Tensorflow, spark | – | – | Team of volunteer developers | – |
Pros:
- Mahout offers the coder a ready-to-use framework for doing data mining tasks on large volumes of data.
- Mahout lets applications to analyze large sets of data effectively and in quick time.
- Comes with distributed fitness function capabilities for evolutionary programming.
Cons:
- Poor visualization and less support scientific libraries.