func (problem *Problem) Add(trainInst TrainingInstance) {
features := sortedFeatureVector(trainInst.Features)
nodes := C.nodes_new(C.size_t(len(features)))
for idx, val := range features {
C.nodes_put(nodes, C.size_t(idx), C.int(val.Index), C.double(val.Value))
}
C.problem_add_train_inst(problem.problem, nodes, C.double(trainInst.Label))
}
// Add adds a training instance to the problem.
func (problem *Problem) Add(trainInst TrainingInstance) error {
if err := verifyFeatureIndices(trainInst.Features); err != nil {
return err
}
features := sortedFeatureVector(trainInst.Features)
nodes := newNodes(C.size_t(len(features)))
problem.insts = append(problem.insts, nodes)
for idx, val := range features {
C.nodes_put(nodes, C.size_t(idx), C.int(val.Index), C.double(val.Value))
}
C.problem_add_train_inst(problem.problem, nodes, C.double(trainInst.Label))
return nil
}
