142 2 weka.MultiClassClassifierUpdateable_SGD 1 Weka_3.7.10_9248 Weka implementation of MultiClassClassifierUpdateable 2014-05-15T00:23:26 English Weka_3.7.10 C option The epsilon threshold (epsilon-insenstive and Huber loss only, default = 1e-3) D flag If set, classifier is run in debug mode and may output additional info to the console E option The number of epochs to perform (batch learning only, default = 500) F option 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 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 option 0 Sets the method to use. Valid values are 0 (1-against-all), 1 (random codes), 2 (exhaustive code), and 3 (1-against-1). (default 0) N flag Don't normalize the data P flag Use pairwise coupling (only has an effect for 1-against1) R option 2.0 Sets the multiplier when using random codes. (default 2.0) S option 1 Random number seed. (default 1) W baselearner weka.classifiers.functions.SGD Full name of base classifier. (default: weka.classifiers.functions.Logistic) W 69 1 weka.SGD 1 Weka_3.7.10_9785 Weka implementation of SGD 2014-04-04T14:39:42 English Weka_3.7.10 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 Don't replace missing values N flag Don't normalize the data R option 1.0E-4 The lambda regularization constant (default = 0.0001) Verified_Supervised_Classification https://api.openml.org/data/download/12734/weka.classifiers.meta.MultiClassClassifierUpdateable5783977076671603727.class class 5efa5b77dba1036b484f505b6ab883fd