DEVELOPMENT... OpenML
Flow
weka.SPegasos

weka.SPegasos

Visibility: public Uploaded 18-02-2015 by Felicia West Weka_3.7.12 827 runs
0 likes downloaded by 2 people 0 issues 0 downvotes , 2 total downloads
  • study_1 study_41 Verified_Learning_Curve,Verified_Supervised_Classification weka weka_3.7.12
Issue #Downvotes for this reason By


Loading wiki
Help us complete this description Edit
S. Shalev-Shwartz, Y. Singer, N. Srebro: Pegasos: Primal Estimated sub-GrAdient SOlver for SVM. In: 24th International Conference on MachineLearning, 807-814, 2007.

Parameters

EThe number of epochs to perform (batch learning only, default = 500)default: 500
FSet the loss function to minimize. 0 = hinge loss (SVM), 1 = log loss (logistic regression). (default = 0)default: 0
LThe lambda regularization constant (default = 0.0001)default: 1.0E-4
MDon't replace missing values
NDon't normalize the data

0
Runs

List all runs
Parameter:
Rendering chart
Rendering table