| public PredictForMat ( PredictType predictType, Array data, int startIteration, int numIteration ) : double[] | ||
| predictType | PredictType | |
| data | Array | |
| startIteration | int | |
| numIteration | int | |
| return | double[] | |
/// <summary>
/// Evaluates the native LightGBM model on the given feature vector
/// </summary>
/// <param name="predictType"></param>
/// <param name="row"></param>
/// <returns></returns>
public double [] Evaluate(Booster.PredictType predictType, float[] row, int startIteration, int numIteration)
{
if (Booster == null)
{
throw new Exception("Model has not been trained");
}
var rslt = Booster.PredictForMat(predictType, row, startIteration, numIteration);
return(rslt);
}
public void GetOutput(ref VBuffer <float> features, ref TOutput prob)
{
var output = Booster.PredictForMat(Booster.PredictType.Normal, features.Values, MaxNumTrees);
prob = ConvertOutput(output);
}
public void GetOutput(ref VBuffer <float> features, ref TOutput prob, int startIteration, int numIterations)
{
var output = Booster.PredictForMat(Booster.PredictType.Normal, features.Values, startIteration, (numIterations == -1) ? MaxNumTrees : numIterations);
prob = ConvertOutput(output);
}
