def performLinearRegression(test_feature):
(val, x, y) = svm_predict([1], [test_feature.tolist()], svmModel, '-q')
return val[0]
def performLinearRegression(test_feature):
(val, x, y) = svm_predict([1], [test_feature.tolist()], svmModel, '-q')
return val[0]
def performRegression(test_feature1, test_feature2):
test_feature = test_feature1 - test_feature2
(val, x, y) = svm_predict([1], [test_feature.tolist()], svmModel, '-q')
return val[0] > 0
def performRegression(test_feature1, test_feature2):
test_feature = test_feature1 - test_feature2
(val, x, y) = svm_predict([1], [test_feature.tolist()], svmModel, '-q')
return val[0] > 0
