Datasets, Java code and Spark notebook of Watcher-AI.
spark-notebook-resources: the spark notebook file
watcher-trainer: a Scala project to train and compare ML models
watcher-ai-samples: a Java application wich uses the trained ML models to predict values
To start this notebook in your environment, please follow this steps:
Step 2 : Save the folder "spark-notebook-resources" inside the folder where Spark are installed
Step 3 : Go to the Terminal and inside the folder of Spark and run: ./bin/spark-notebook
Step 4 : Go to the folder "spark-mllib-sample/spark-notebook-resources/" and open the file called "watcher-ai-core-ml"
All of this code and samples are available to download and test your own ML algorithm with Apache Spark MLlib.
This content is part of the presentation: Machine learning in practice with Spark MLlib: An intelligent data analyzer, presented at Strata + Hadoop World Singapore 2016
Flavio Clésio - firstname.lastname@example.org / email@example.com J.P. Eiti Kimura - firstname.lastname@example.org