| public PredictForMatsMulti ( 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[][] rows, int startIteration, int numIterations)
{
if (Booster == null)
{
throw new Exception("Model has not been trained");
}
var rslt = Booster.PredictForMatsMulti(predictType, rows, startIteration, numIterations);
return(rslt);
}
public override double[][] GetOutputs(float[][] rows)
{
var output = Booster.PredictForMatsMulti(Booster.PredictType.Normal, rows, MaxNumTrees);
// convert from 2D array to array of rows
var numRows = output.GetLength(0);
var numCols = output.GetLength(1);
var rslt = new double[numRows][];
for (int i = 0; i < rslt.Length; i++)
{
var row = new double[numCols];
for (int j = 0; j < row.Length; j++)
{
row[j] = output[i, j];
}
rslt[i] = row;
}
return(rslt);
}
