Spark-Transformers: Library for exporting Apache Spark MLLIB models to use them in any Java application with no other dependencies.
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Updated
Dec 15, 2017 - Java
Spark-Transformers: Library for exporting Apache Spark MLLIB models to use them in any Java application with no other dependencies.
Developed for analysing and visualizing trends related to electricity and energy consumption
This repository consists of comparison between two LDA algorithms (EM and Online) in Apache Spark 'mllib' library and also finding the best hyper parameters on YELP dataset.
Logistic Regression Predictor and Classifier Plugins
Tokenizer Analytics Plugin: A transform plugin to split data based on a pattern
CDAP plugins for training a model using decision tree and for predicting outcomes based on the trained model.
Big Data Batch and stream analytics using Kafka-Spark Streaming
Sample test example for spark mllib for recommendation system
NGram Analytics Transform Plugin: Transforms input features into n-grams
SkipGram Feature Generator: Generates text-based features using Spark's Word2Vec.
Linear Support Vector Machine for sentiment analysis of twitter data using Spark MLlib and RDDs.
Hashing TF Feature Generator Plugin
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