Data Science (Python) :: Support Vector Regression (SVR)
Intention of this post is to give a quick refresher (thus, it’s assumed that you are already familiar with the stuff) of SVR-Support Vector Regression (using Python). You can treat this as FAQ’s as well.
What kind of linear regression is Support Vector Regression?
Non-linear regression
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Does SVR class do feature scaling internally?
No, it doesn’t and thus, we need to explicitly do feature scaling whenever we are using SVR.
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Sample code for implementing SVR
from sklearn.svm import SVR
var_regressor = SVR(kernel = ‘rbf’)
var_regressor.fit(X, y)
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