Flow
moa.LeveragingBag_SPegasos

moa.LeveragingBag_SPegasos

Visibility: public Uploaded 12-02-2015 by Jan van Rijn Moa_2014.03 166 runs
0 likes downloaded by 1 people 0 issues 0 downvotes , 1 total downloads
  • Verified_Supervised_Data_Stream_Classification
Issue #Downvotes for this reason By


Loading wiki
Help us complete this description Edit
Moa implementation of LeveragingBag

Components

lmoa.SPegasos(1)baseLearner: Classifier to train.

Parameters

adeltaAdwin: Delta of Adwin change detectiondefault: 0.002
lbaseLearner: Classifier to train.default: trees.HoeffdingTree
mleveraginBagAlgorithm: Leveraging Bagging to use.default: LeveragingBag
ooutputCodes: Use Output Codes to use binary classifiers.default: false
rrandomSeed: Seed for random behaviour of the classifier.default: 1
sensembleSize: The number of models in the bag.default: 10
wweightShrink: The number to use to compute the weight of new instances.default: 6.0

0
Runs

List all runs
Parameter:
Rendering chart
Rendering table