The purpose of generate_fake_data.py is to create a .csv file with fake data with the following intended applications:
An example of how data needs to be formatted to be passed into the model
To ensure the files are being generated correctly to test GUI setup.
To test the setup and running of the repo
The purpose of the fake data is NOT too:
DO NOT use the model artifacts (.pickle and .state files) generated from the fake data to make predictions which will be used in any real world application.
DO NOT use the fake data generated to inform any insights to be applied to a real world setting.
DO NOT use to test the performance of the model
The data is generated completely randomly, with each field having random values generated independently of other fields. This generator was created having never been exposed to the real data.
Generating fake data
Overview and Purpose
The purpose of
generate_fake_data.pyis to create a.csvfile with fake data with the following intended applications:The purpose of the fake data is NOT too:
.pickleand.statefiles) generated from the fake data to make predictions which will be used in any real world application.The data is generated completely randomly, with each field having random values generated independently of other fields. This generator was created having never been exposed to the real data.