This function is just a wrapper over the predict function. It sets different default parameters for models from different classes, like for classification random Forest is forces the output to be probabilities not classes itself.
yhat(X.model, newdata, ...)# S3 method for lm
yhat(X.model, newdata, ...)
# S3 method for randomForest
yhat(X.model, newdata, ...)
# S3 method for svm
yhat(X.model, newdata, ...)
# S3 method for glm
yhat(X.model, newdata, ...)
# S3 method for ranger
yhat(X.model, newdata, ...)
# S3 method for default
yhat(X.model, newdata, ...)
object - a model to be explained
data.frame or matrix - observations for prediction
other parameters that will be passed to the predict function
An numeric matrix of predictions