Parameters for OnlineLogisticRegression function in Mahout
Can anyone tell me where do I find any documentation for parameters like:
-stepOffset
-alpha
-decayExponent
in an OnlineLogisticRegression
function in Mahout
?
I am interested in what do they change in calls like this one:
int FEATURES = 10000;
OnlineLogisticRegression learningAlgorithm = new OnlineLogisticRegression(20, FEATURES, new L1())
.alpha(1).stepOffset(1000).decayExponent(0.9).lambda(3.0e-5).learningRate(20);
Topic apache-mahout online-learning logistic-regression
Category Data Science