TrainerEstimators\TreeEstimators.cs (21)
487var dataMatrix = new float[_rowNumber * _columnNumber];
489var labels = new uint[_rowNumber];
492for (/*row index*/ int i = 0; i < _rowNumber; ++i)
534sampleValueGroupedByColumn[j] = new double[_rowNumber];
535sampleIndicesGroupedByColumn[j] = new int[_rowNumber];
536sampleNonZeroCntPerColumn[j] = _rowNumber;
538for (int i = 0; i < _rowNumber; ++i)
548float[] floatLabels = new float[_rowNumber];
549for (int i = 0; i < _rowNumber; ++i)
553var gbmDataSet = new Trainers.LightGbm.Dataset(sampleValueGroupedByColumn, sampleIndicesGroupedByColumn, _columnNumber, sampleNonZeroCntPerColumn, _rowNumber, _rowNumber, "", floatLabels);
556gbmDataSet.PushRows(dataMatrix, _rowNumber, _columnNumber, 0);
559lgbmProbabilities = new double[_rowNumber * _classNumber];
561lgbmRawScores = new double[_rowNumber * _classNumber];
583_rowNumber, _columnNumber, 1, (int)WrappedLightGbmInterface.CApiPredictType.Normal, 0, numberOfTrainingIterations, "", ref nativeLength, result0);
585_rowNumber, _columnNumber, 1, (int)WrappedLightGbmInterface.CApiPredictType.Raw, 0, numberOfTrainingIterations, "", ref nativeLength, result1);
606for (int i = 0; i < _rowNumber; ++i)
642for (int i = 0; i < _rowNumber; ++i)
677for (int i = 0; i < _rowNumber; ++i)
713for (int i = 0; i < _rowNumber; ++i)
742for (int i = 0; i < _rowNumber; ++i)