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This project provides an implementation of the AutoML tool ML-Plan for MEKA.

There is a newer version: 0.2.7

{
  "repository" : "meka.classifiers.multilabel.HASEL",
  "include" : [ ],
  "components" : [ {
    "name" : "meka.classifiers.multilabel.HASEL",
    "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. LEFT 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" : "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
    } ]
  } ]
}