Milestones

• Using the transformation functions along with the available model
• Autogenerate code to train the model using the hyperparameters provided by the user
• Write a training pipeline that works with different model for different dataset
• Unit testing the training pipeline
• Integrated testing for the following
  • Creating schema from the chosen dataset
  • Use the feature chosen by the user to do transformation
  • Run the training pipeline to train the model
  • Output the model to a desired directory
• Write a small terminal app to make all the above feature available locally