predict.osmultinom: Predict New Examples Based on Observation Specific...
In schiffner/locClass: Collection of Local Classification Methods

Description Usage Arguments Details Value See Also Examples

Predict new examples in conjunction with osmultinom.

1	predict.osmultinom(object, newdata, type = c("class", "probs"), ...)

`object`	Object of class `"osmultinom"`.
`newdata`	A `data.frame` of cases to be classified or, if `object` has a `formula`, a `data.frame` with columns of the same names as the variables used. A vector will be interpreted as a row vector. If `newdata` is missing, an attempt will be made to retrieve the data used in `osmultinom`.
`type`	Type of output.
`...`	Arguments passed to or from other methods.

This function is a method for the generic function predict() for class "osmultinom". It can be invoked by calling predict(x) for an object x of the appropriate class, or directly by calling predict.osmultinom(x) regardless of the class of the object.

If type = "class", a factor containing the predicted class labels; if type = "probs", a matrix of class posterior probabilities. In case of a binary classification problem the matrix contains only the posteriors for the second factor level.

osmultinom, osnnet, predict.osnnet, predict.nnet, nnet.

Other observation_specific multinom: osmultinom

    fit <- osmultinom(Species ~ Sepal.Length + Sepal.Width, data = iris,
                      wf = "gaussian", bw = 0.5)
    pred <- predict(fit)
    mean(pred != iris$Species)