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a_help = ' Selects the discretisation algorithm ...
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f_help = ' Base name of attribute, klass, training, test and go ...
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t_help = ' Base name of training file for discretisation. '
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T_help = ' Base name of test file to be discterised. '
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g_help = ' Base name of gold file to be discretised. '
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A_help = ' Comma separated list of attribute indices. '
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o_help = ' Algorithm specific options ...
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UNSUPERVISED_EQUAL_WIDTH = ' UEW '
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UNSUPERVISED_EQUAL_FREQUENCY = ' UEF '
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NAIVE_SUPERVISED = ' NS '
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NAIVE_SUPERVISED_V1 = ' NS1 '
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NAIVE_SUPERVISED_V2 = ' NS2 '
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ENTROPY_BASED_SUPERVISED = ' ES '
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ALGORITHM_MAPPINGS = { ' ES ' : ' entropy_based_supervised ' , ' NS ' : ...
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