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You are creating a multi-class image classification deep learning model using the PyTorch framework and need to configure Hyperdrive to optimize hyperparameters for the best accuracy.
Which three actions must you perform to define a primary metric for determining the hyperparameter values that yield the model with the best accuracy score?
A
Set the primary_metric_goal of the estimator used to run the bird_classifier_train.py script to maximize.
B
Add code to the bird_classifier_train.py script to calculate the validation loss of the model and log it as a float value with the key loss.
C
Set the primary_metric_goal of the estimator used to run the bird_classifier_train.py script to minimize.
D
Set the primary_metric_name of the estimator used to run the bird_classifier_train.py script to accuracy.
E
Set the primary_metric_name of the estimator used to run the bird_classifier_train.py script to loss.
F
Add code to the bird_classifier_train.py script to calculate the validation accuracy of the model and log it as a float value with the key accuracy.