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Questions tagged [svr]

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One-Vs-Rest classifier implementation using SVR

In One-Vs-Rest classifier it is mentioned that in estimator it requires fit and one of decision_function or predict_proba. Since SVR doesn't have the latter part can we implement One-Vs-Rest ...
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Understanding Support Verctor Regression (SVR)

This question also asked on another StackExchange with Bounty. Question here. I'm working with SVR, and using this resource. Erverything is super clear, with epsilon intensive loss function (from ...
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How we can have RF-QLearning or SVR-QLearning (Combine these algorithm with a Q-Learning )

How we can have RF-QLearning or SVR-QLearning (Combine these algorithm with a Q-Learning )? I want to replace the DNN section of Qlearning with a RF or SVR but the problem is that there is no clear ...
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SVR with linear kernel introduces unnecessary slope in predictions

I am doing regression with an SVR (linear kernel). It seems to do somewhat well at detecting outliers, but introduces a weird slope in the predictions. If I use a polynomial kernel (grid search for ...
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Support Vector Regression (SVR) for spatio-temporal prediction

I know that SVR can ensure spatial prediction from one side and can do time series prediction from other side but can SVR do both : tempospatial prediction at the same time?
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spatiotemporal prediction using support vector regression

i am using a geographic dataset and i intend to use SVR as machine learning method for predicting spatiotemporal patterns from this dataset. My question is does SVR canensure spatiotemporal ...
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Should the output of regression models, like SVR, be normalized?

I have a regression problem which I solved using SVR. Accidentally, I normalized my output along with the inputs by removing the mean and dividing by standard ...