The goal is to predict the click on an ads based on a dataset from the real world.

The program must take a json file of user data as input and produce a csv file enhanced by a first column named label that will contains the wether or not (true or false) the user would had clicked.

Download this project, then go to the directory and open a terminal in the source folder. Then execute the following command: sbt assembly

A jar executable called TheIllusionists-assembly-0.1.jar should be created in the source folder at target/scala-2.12.

You can move the executable from his place to the source folder by executing the following command: mv target/scala-2.12/TheIllusionists-assembly-0.1.jar TheIllusionists.jar

⚠️ Before launching the following command be sure the folder "models/LR" exists and is not empty ⚠️

Once you moved the executable to the source folder, you can run the project by using: java -jar TheIllusionists.jar "path to the json data file"

A CSV file called part-0000-xxxx.csv should be created in the result folder with the prediction of the model in the first column label.