Closed JuliaWasala closed 1 year ago
Code for reproducing the bug:
clf =ak.ImageClassifier(overwrite=True,project_name=name,directory="/data1/wasalaj/methane_plumes/models/") clf.fit(X_train,y_train,validation_data=(X_val,y_val)) print("DONE TRAINING - PREDICT") predicted_y = clf.predict(X_test) print("GET SCORES") # get acc, precision, recall, f1 acc = accuracy_score(y_test, predicted_y) precision = precision_score(y_test, predicted_y,average='macro') recall = recall_score(y_test, predicted_y,average='macro') f1 = f1_score(y_test, predicted_y,average='macro') print(acc,precision,recall,f1)
Data used by the code: private data, (1,32,32) images.
Include the details about the versions of:
update: weight decay is the culprit. Need a fix for this.
Bug Description
Bug Reproduction
Code for reproducing the bug:
Data used by the code: private data, (1,32,32) images.
Setup Details
Include the details about the versions of: