When adding new coding inside the train.py. The new coding I add is needed to print out the confusion matrix, but after that, the new coding inside the train.py didn’t show anything.
The coding i add inside as shown below:
%%
import torch
import torchmetrics
def get_Accuracy(num_class):
accuracy = torchmetrics.Accuracy(
num_classes=num_class,
average='micro',
multiclass=False
# top_k=1
)
return accuracy
def get_Precision(num_class):
precision = torchmetrics.Precision(
num_classes=num_class,
average='micro',
multiclass=False,
)
return precision
def get_Dice():
dice = torchmetrics.Dice(
num_classes=2,
average=‘micro’,
)
return dice
def get_Average_precision(num_class):
average_precision = torchmetrics.AveragePrecision(
# num_classes=num_class,
pos_label=0,
average=None
)
return average_precision
def get_Precision_Recall():
precision_recall = torchmetrics.PrecisionRecallCurve(
num_classes=2,
pos_label=1
)
return precision_recall
def get_AUC():
AUC = torchmetrics.AUC(
reorder=True
)
return AUC
def get_F1Score():
F1_Score = torchmetrics.F1Score(
num_classes=2,
)
return F1_Score
def get_Confusion_Matrix():
confusion_matrix = torchmetrics.ConfusionMatrix(
num_classes=2,
multilabel=False
)
return confusion_matrix
