Predict Method for Graph-SVM Fits

Obtains predictions from a fitted networkBasedSVM object.

1 2 |

`object` |
a fitted object of class inheriting from 'networkBasedSVM' |

`newdata` |
a matrix with variables to predict |

`...` |
currently ignored. |

the predictions.

Marc Johannes JohannesMarc@gmail.com

1 2 3 4 5 6 7 8 9 10 | ```
## Not run:
library(pathClass)
data(example_data)
matched <- matchMatrices(x=x, adjacency=adjacency.matrix, mapping=mapping)
ad.list <- as.adjacencyList(matched$adjacency)
fit = fit.networkBasedSVM(matched$x[1:5,], y[1:5], DEBUG=TRUE, adjacencyList=ad.list,
lambdas=10^(-1:2), sd.cutoff=50)
predict(fit, newdata=matched$x[6:10,])
## End(Not run)
``` |

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.