All functions
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computeWeights()
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compute weights for each instance |
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fselector()
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Feature Selection for Monotonic Classification |
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iselector()
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Instance Selection for Monotonic Classification |
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kdlorpredict()
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Predicts KDLOR model outputs for test data |
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kdlortrain()
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Trains a KDLOR model |
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pomfit()
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Train a proportional odd model for ordinal regression |
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pompredict()
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Predict over the new data instances using the trained model. |
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svmofit()
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Train n-1 SVM models for ordinal data with given parameters |
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svmopredict()
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Predict over the new data instances using the trained models |
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wknnor()
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K-nearest neighbors for ordinal and monotonic data |