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Turn this sequential into a parallel code: #the model t0=time.time() clf_svc = svm.SVC(kernel='linear') clf_svc.fit(X_train,y_train) y_pred = clf_svc.predict(X_test) score = accuracy_score(y_test,y_pred) print('Accuracy :',score) print('Time taken :'
Turn this sequential into a parallel code: #the model t0=time.time() clf_svc = svm.SVC(kernel='linear') clf_svc.fit(X_train,y_train) y_pred = clf_svc.predict(X_test) score = accuracy_score(y_test,y_pred) print('Accuracy :',score) print('Time taken :' , time.time()-t0)
Turn this sequential into a parallel code:
#the model
t0=time.time()
clf_svc = svm.SVC(kernel='linear')
clf_svc.fit(X_train,y_train)
y_pred = clf_svc.predict(X_test)
score = accuracy_score(y_test,y_pred)
print('Accuracy :',score)
print('Time taken :' , time.time()-t0)
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