Visibility: public Uploaded 26-11-2014 by Roy van den Hurk Weka_3.7.12-SNAPSHOT 2 runs
0 likes downloaded by 1 people 0 issues 0 downvotes , 1 total downloads
  • Verified_Supervised_Classification weka weka_3.7.12-SNAPSHOT
Issue #Downvotes for this reason By

Loading wiki
Help us complete this description Edit
Weka implementation of MultiClassClassifierUpdateable


Wweka.SGD(2)Full name of base classifier. (default: weka.classifiers.functions.Logistic)


-do-not-check-capabilitiesIf set, classifier capabilities are not checked before classifier is built (use with caution).
CThe epsilon threshold (epsilon-insenstive and Huber loss only, default = 1e-3)
EThe number of epochs to perform (batch learning only, default = 500)
FSet 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)
LThe 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).
MSets the method to use. Valid values are 0 (1-against-all), 1 (random codes), 2 (exhaustive code), and 3 (1-against-1). (default 0)default: 0
NDon't normalize the data
PUse pairwise coupling (only has an effect for 1-against1)
RSets the multiplier when using random codes. (default 2.0)default: 2.0
SRandom number seed. (default 1)default: 1
WFull name of base classifier. (default: weka.classifiers.functions.Logistic)default: weka.classifiers.functions.SGD
output-debug-infoIf set, classifier is run in debug mode and may output additional info to the console


List all runs
Rendering chart
Rendering table