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gr33ndata/simple_svm_regression

Created February 28, 2016 12:59
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simple_svm_regression
from sklearn import svm
x = [[1],[4],[7],[13],[10]]
y1 = [16, 34, 52, 88, 70]
y2 = [1, 16, 49, 169, 100]
svm_regression_model = svm.SVR(kernel='poly')
svm_regression_model.fit(x,y1)
print svm_regression_model.predict([5])
svm_regression_model = svm.SVR(kernel='poly')
svm_regression_model.fit(x,y2)
print svm_regression_model.predict([5])
@de-ibrahim
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line 9 svm_regression_model.predict([[5]])

line13 svm_regression_model.predict([[5]])

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