fast python code for confidence intervals for support vector regression

fast python code for confidence intervals for support vector regression for mixture categorical and continues features big data : millions rows and ~100 features (each categorical feature has many values ) but not bootstrap /bagging - many time runs with different data sample and not [login to view URL] - it is slow for example something based on [login to view URL] you simulate data by yourself or use existing data sets