How to integrate Machine Learning with Spark?

Machine Learning

Hi Guys,

I am trying to create one Machine Learning model. But it takes lots of time because of my big dataset. I want to connect a distributed system like Haddop and Spark cluster, so that it takes less time. But how can I connect ML with Spark?

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Answers

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 The process of integrating Machine learning with Spark is simple. The primary step is to configure the cluster first to integrate Hadoop with Spark. Once the configuration is done, you can start installing the software into your dedicated system. The softwares could be the following.


1.Python
2.Apache Spark
3.Findspark Library
4.NumPy
5.Jupyter
Once the software installation is completed, you will need to open your Jupyter notebook and import findspark. Use the below commands to import findspark.



$ import findspark


$ findspark.init( ‘Replace Spark Path’ )



You are all set now to get your work done.

 

The process of integrating Machine learning with Spark is simple. The primary step is to configure the cluster first to integrate Hadoop with Spark. Once the configuration is done, you can start installing the software into your dedicated system. The softwares could be the following.


1.Python
2.Apache Spark
3.Findspark Library
4.NumPy
5.Jupyter
Once the software installation is completed, you will need to open your Jupyter notebook and import findspark. Use the below commands to import findspark.



$ import findspark


$ findspark.init( ‘Replace Spark Path’ )

 
 

If you want to unleash your potential in this competitive field, please visit the Machine Learning course page for more information, where you can find the Machine Learning tutorials and Machine Learning frequently asked interview questions and answers as well.

 

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