Apache Spark 2.2 Machine Learning Support

 
 

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Apache Spark 2.2 Machine Learning Support
1 Answer(s)      14 days ago
Posted in : Big Data
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Hi,

What is the new features of Spark 2.2? What all new API and updates has been updated to enhance machine learning in Spark 2.2?

Thanks

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December 3, 2017 at 1:10 AM


Hi,

Apache Spark 2.2 comes with big boost to machine learning with many new API and updated features.

Here are updates for MLlib, SparkR, and Python:

The latest version of Spark is here to support machine learning in a big way. It offers advanced analytics and python support. New things are:

  • Support for Locality Sensitive Hashing

  • Now it support Multiclass Logistic Regression

  • Also there is support for Personalized PageRank

Apache Spark 2.2 can be used with R to perform machine learning over distributed Spark cluster. In SparkR following features are added:

  • ALS
  • Isotonic Regression
  • Multilayer Perceptron Classifier
  • Random Forest
  • Gaussian Mixture Model
  • LDA
  • Multiclass Logistic Regression
  • Gradient Boosted Trees
  • Structured Streaming API for R
  • column functions tojson, fromjson for R
  • Multi-column approxQuantile in R

Now Spark 2.2 comes with the support of distribute machine learning over spark cluster. R programming code can be used to run over spark cluster.

Check Spark 2.2 Features.

Thanks


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