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ml-analytics-service

Prerequisites

  1. Python3.6.x or above
  2. Python virtual environment to work with

Setup

Each folder consists of its own config files and programs. Navigate into respective folder and create a file with the name config.ini and copy the contents from config.sample present in the respective folders.

Replace the <> with appropriate values in the config.ini and then save.

Activate the virtual environment created earlier by running the following command . <PATH-TO-YOUR-VIRTUAL-ENV-NAME>/bin/activate

Run the following command to install all the dependencies pip install -r requirements.txt

Execution of Programs

For programs that start with py_* are a general ones. So use python <PATH-TO-PROGRAM>

For programs that start with pyspark_* use spark-submit <PATH-TO-PROGRAM>

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  • Python 98.9%
  • Shell 1.1%