Description Usage Arguments Value References Examples
This function performs the predition for IM4E(Iterative Margin-Maximization under Max-Min Entropy) algorithm.
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object |
weight or result of IM4E algorithm |
xx |
model matrix of explanatory variables |
yy |
label vector |
newx |
new model matrix to be predicted |
sig |
sigma used in algorithm, default to be 1 |
type |
the form of final output, default to be "both". One can also choose "response"(predicted probabilities) or "class"(predicted labels). |
... |
further arguments passed to or from other methods |
response |
predicted probabilities for new data (newx) |
class |
predicted class labels for new data (newx) |
Bei Y, Hong P. Maximizing margin quality and quantity[C]//Machine Learning for Signal Processing (MLSP), 2015 IEEE 25th International Workshop on. IEEE, 2015: 1-6.
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