[Teacher model Full Training]
○ Config
trainer
ㄴ fl_alpha: 0.8
ㄴ fl_gamma: 3
model
ㄴ name: 원하는 이름으로 셋팅
path
ㄴ 환경에 맞게 조정
○ Data load
x_train_data, y_train_data, full_data, mcu_data = IMUDatasetGenerator_v1(config, resample='full', full_version='v2', retraining=False, mix=False, cherrypicking=False, safeware=0, debug=True)()
○ Training
model = TinyCNN06_1((25, 6))
Trainer02(model, x_train_data, y_train_data, config, training=True)
TrainingReport(config)()
○ Test
Tester(full_data, config, enable_full_data=False)
TestReport(config, enable_full_data=False, enable_save_fig=False)()
Tester(full_data, config, enable_full_data=True)
TestReport(config, enable_full_data=True, enable_save_fig=False)()
ReportGenerator(config, enable_dataset_descriptions=True, enable_training=True, enable_testing=True)()

[Teacher model Transfer learning]
○ Config
trainer
ㄴ fl_alpha: 0.8
ㄴ fl_gamma: 3
model
ㄴ name: 원하는 이름으로 셋팅(위의 모델과 동일하게 셋팅)
path
ㄴ 환경에 맞게 조정
○ Data load
x_train_data, y_train_data, full_data, mcu_data = IMUDatasetGenerator_v1(config, resample='full', full_version='v2', retraining=True, mix=True, cherrypicking=False, safeware=0, debug=True)()
○ Training
model = TinyCNN06_1((25, 6))
Transfer_Learning(model, x_train_data, y_train_data, config, num_layer='all')
--------------------------------------- -> Config의 model name을 새롭게 생성된 모델 name으로 수정해서 아래 코드 돌리기
TrainingReport(config)()
○ Test
Tester(full_data, config, enable_full_data=False)
TestReport(config, enable_full_data=False, enable_save_fig=False)()
Tester(full_data, config, enable_full_data=True)
TestReport(config, enable_full_data=True, enable_save_fig=False)()
ReportGenerator(config, enable_dataset_descriptions=True, enable_training=True, enable_testing=True)()

[Student model Knowledge Distiilation]
○ Config
trainer
ㄴ fl_alpha: 0.8
ㄴ fl_gamma: 3
model
ㄴ name: 원하는 이름으로 셋팅
ㄴ teacher_model_name: 위에서 추출된 전이학습 모델 이름으로 셋팅
path
ㄴ 환경에 맞게 조정
○ Data load
x_train_data, y_train_data, full_data, mcu_data = IMUDatasetGenerator_v1(config, resample='full', full_version='v2', retraining=True, mix=True, cherrypicking=True, safeware=0, debug=True)()
○ Training
student_model = DNN_BN((25, 6))
teacher_model = TinyCNN06_1((25, 6)) 
Knowledge_Distillation(teacher_model=teacher_model,
                           student_model=student_model,
                           train_x=x_train_data,  
                           train_y=y_train_data,
                           config=config,
                           training=True)
TrainingReport(config)()
○ Test
Tester(full_data, config, enable_full_data=False)
TestReport(config, enable_full_data=False, enable_save_fig=False)()
Tester(full_data, config, enable_full_data=True)
TestReport(config, enable_full_data=True, enable_save_fig=False)()
ReportGenerator(config, enable_dataset_descriptions=True, enable_training=True, enable_testing=True)()