Re: Stopping criteria for gradient descent

Hi Nishanth, The diff of solution vectors is compared to relative tolerance or absolute tolerance, you can set convergenceTol which can affect the convergence criteria of SGD. 2015-09-17 8:31 GMT+08:00 Nishanth P S : > Hi, > > I am running LogisticRegressionWithSGD in

Re: Stopping criteria for gradient descent

tion/GradientDescent.scala#L251 > > Thanks, > Nishanth > > > > -- > View this message in context: > http://apache-spark-user-list.1001560.n3.nabble.com/Stopping-criteria-for-gradient-descent-tp24727.html >

Stopping criteria for gradient descent

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Stopping criteria for gradient descent

Hi, I am running LogisticRegressionWithSGD in spark 1.4.1 and it always takes 100 iterations to train (which is the default). It never meets the convergence criteria, shouldn't the convergence criteria for SGD be based on difference in logloss or the difference in accuracy on a held out test set