// PredictBatch makes a prediction for all of the inputs given in inputs concurrently.
// outputs must either be (nSamples x outputDim), or must be nil. If outputs is nil,
// a new matrix will be created to store the predictions
func (sink *Sink) PredictBatch(inputs common.RowMatrix, outputs common.MutableRowMatrix) (common.MutableRowMatrix, error) {
batch := batchPredictor{
features: sink.features,
featureWeights: sink.featureWeights,
b: sink.b,
}
return predHelp.BatchPredict(batch, inputs, outputs, sink.inputDim, sink.outputDim, sink.grainSize())
}
func (s *Independent) PredictBatch(inputs common.RowMatrix, outputs common.MutableRowMatrix) (common.MutableRowMatrix, error) {
batch := batchPredictor{
featureWeights: s.featureWeights,
outputDim: s.outputDim,
nFeatures: s.nFeatures,
order: s.order,
}
return predHelp.BatchPredict(batch, inputs, outputs, s.inputDim, s.outputDim, s.grainSize())
}
