Utilize SparkML API for System-Level Anomaly Detection
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Updated
Jul 25, 2016 - Scala
Utilize SparkML API for System-Level Anomaly Detection
This is an example of Linear Regression done in SparkML and using the class PolynomialExpansion.
Predicting the arrival delay time of commercial flights
Analyze dataset of movies using Spark, Scala and SparkML
Repo for using scala in a kaggle house price prediction.
Online latent state estimation with Spark
Scala Library for extracting useful information from trained Spark Model (DecisionTreeClassificationModel)
TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning
Classification of astronomical objects using Scala-Spark and its ML library "spark.ml", based on the Stellar Classification Dataset (SDSS17).
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