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{
"repository" : "meka.classifiers.multilabel.RAkEL",
"include" : [ ],
"components" : [ {
"name" : "meka.classifiers.multilabel.RAkEL",
"providedInterface" : [ "MLClassifier", "BasicMLClassifier" ],
"requiredInterface" : [ {
"id" : "W",
"name" : "AbstractClassifier"
} ],
"comment" : "LEFT OUT: _k The number of labels in each partition __ should be 1 <= k < (L/2) where L is the total number of labels\nLEFT OUT: _N Sets the (maximum) number of frequent labelsets to subsample from the infrequent labelsets. default: 0 (none) n N = n _n N = n, or 0 if LCard(D) >= 2 n_m N = random(n,m).",
"parameters" : [ {
"name" : "M",
"comment" : "Sets M (default 10): the number of subsets",
"type" : "int",
"min" : 2,
"max" : 20,
"default" : 10,
"refineSplits" : 2,
"minInterval" : 1
}, {
"name" : "P",
"comment" : "Sets the pruning value, defining an infrequent labelset as one which occurs <= P times in the data (P = 0 defaults to LC). default: 0 (LC)",
"type" : "int",
"default" : 0,
"min" : 0,
"max" : 5,
"minInterval" : 1,
"refineSplits" : 6
}, {
"name" : "N",
"comment" : "Sets the (maximum) number of frequent labelsets to subsample from the infrequent labelsets. default: 0 (none) n N = n _n N = n, or 0 if LCard(D) >= 2 n_m N = random(n,m)",
"type" : "int",
"default" : 0,
"min" : 0,
"max" : 5,
"minInterval" : 1,
"refineSplits" : 6
} ]
} ]
}
