scala - In mllib LinearRegressionWithSGD, I can not control numIterations, why? -
i have 1 ml task, 34461 samples , use linearregressionwithsgd train model. results of 2 training result(mse , correlation) same:
train model (setnumiterations(5))
val linearregressionwithsgd: linearregressionwithsgd = new linearregressionwithsgd() linearregressionwithsgd.setintercept(true) linearregressionwithsgd.optimizer.setstepsize(0.1) linearregressionwithsgd.optimizer.setnumiterations(5)
train model (setnumiterations(10000))
val linearregressionwithsgd: linearregressionwithsgd = new linearregressionwithsgd() linearregressionwithsgd.setintercept(true) linearregressionwithsgd.optimizer.setstepsize(0.1) linearregressionwithsgd.optimizer.setnumiterations(10000)
i can not control number of iterations, why?
Comments
Post a Comment