weka.classifiers.meta.FilteredClassifier(weka.filters.unsupervised.attribute.StringToWordVector(weka.core.tokenizers.WordTokenizer),weka.classifiers.lazy.IBk(weka.core.neighboursearch.LinearNNSearch(weka.core.EuclideanDistance)))
Visibility: public
Uploaded 16-03-2019 by
Jan van Rijn
Weka_3.9.3
1 runs
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Parameters
| -do-not-check-capabilities | If set, classifier capabilities are not checked before classifier is built
(use with caution). | default: ["false"] |
| F | Full class name of filter to use, followed
by filter options.
default: "weka.filters.supervised.attribute.Discretize -R first-last -precision 6" | default: ["weka.filters.unsupervised.attribute.StringToWordVector"] |
| S | Random number seed.
(default 1) | default: ["1"] |
| W | Full name of base classifier.
(default: weka.classifiers.trees.J48) | default: ["weka.classifiers.lazy.IBk"] |
| batch-size | The desired batch size for batch prediction (default 100). | default: [] |
| doNotCheckForModifiedClassAttribute | If set, classifier will not check whether the filter modifies the class (use with caution). | default: ["false"] |
| num-decimal-places | The number of decimal places for the output of numbers in the model (default 2). | default: [] |
| output-debug-info | If set, classifier is run in debug mode and
may output additional info to the console | default: ["false"] |
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