RyanBusby/productionFailures

Binary classification of products passage or failure of quality control

Binary Classification with Apache Spark / HDFS

↖data source

The goal of the competition is to predict which parts will fail quality control

My goal is to utilize the hadoop ecosystem to handle a large dataset and establish a pipeline for machine learning

munge :

• Aggregate columns using RDD transformations
• Create a column that indicates which of those column aggregations are outliers.

fit_predict :

• Model data with Spark Machine Learning package
• Predict on test data

munge_fit_predict :

• Run this as is to use the toy data set example