The python sklearn.svm.SVR.predict function is used to predict the target values for a given set of input samples using a Support Vector Regression (SVR) model. It takes the input samples as parameters and returns the predicted target values. This function can be used to make predictions for regression problems in machine learning tasks.
Python SVR.predict - 60 examples found. These are the top rated real world Python examples of sklearn.svm.SVR.predict extracted from open source projects. You can rate examples to help us improve the quality of examples.