Feature : Feedback - Ramp

[kshitijrajsharma]

• Contributes to DISCUSSION : Apply Feedback Loop on the Predictions  fAIr#106

What does this PR Do ?

Introducesrun_feedbackmethod to support applying feedback to trained model

Test Example :

from hot_fair_utilities.training import run_feedback
 final_accuracy, final_model_path = run_feedback(
                  input_path=preprocess_output,
                  output_path=train_output,
                  feedback_base_model=os.path.join(
                      settings.TRAINING_WORKSPACE,
                      f"dataset_{dataset_id}",
                      "output",
                      f"training_{feedback}",
                      "checkpoint.tf",
                  ),
                  model_home=os.environ["RAMP_HOME"],
              )

• Backend Implemented by Feature : Feedback Loop for Ramp fAIr#108