18830 22339 weka.classifiers.functions.SGD weka.classifiers.functions.SGD 2 Weka_3.9.5_15519 Weka implementation. 2021-06-08T15:43:14 English Weka_3.9.5 -do-not-check-capabilities flag ["false"] If set, classifier capabilities are not checked before classifier is built (use with caution). C option ["0.001"] The epsilon threshold (epsilon-insenstive and Huber loss only, default = 1e-3) E option ["500"] The number of epochs to perform (batch learning only, default = 500) F option ["0"] Set the loss function to minimize. 0 = hinge loss (SVM), 1 = log loss (logistic regression), 2 = squared loss (regression), 3 = epsilon insensitive loss (regression), 4 = Huber loss (regression). (default = 0) L option ["0.01"] The learning rate. If normalization is turned off (as it is automatically for streaming data), then the default learning rate will need to be reduced (try 0.0001). (default = 0.01). M flag ["false"] Don't replace missing values N flag ["false"] Don't normalize the data R option ["1.0E-4"] The lambda regularization constant (default = 0.0001) S option ["1"] Random number seed. (default 1) batch-size option [] The desired batch size for batch prediction (default 100). num-decimal-places option [] The number of decimal places for the output of numbers in the model (default 2). output-debug-info flag ["false"] If set, classifier is run in debug mode and may output additional info to the console weka weka_3.9.5