rm.operator.bayesian_boosting
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Uploaded 15-07-2016 by
Jan van Rijn
RapidMiner_6.4.0
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Parameters
| allow_marginal_skews | Allow to skew the marginal distribution (P(x)) during learning. | default: true |
| iterations | The maximum number of iterations. | default: 10 |
| local_random_seed | Specifies the local random seed | default: 1992 |
| rescale_label_priors | Specifies whether the proportion of labels should be equal by construction after first iteration . | default: false |
| use_local_random_seed | Indicates if a local random seed should be used. | default: false |
| use_subset_for_training | Fraction of examples used for training, remaining ones are used to estimate the confusion matrix. Set to 1 to turn off test set. | default: 1.0 |
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