TrainerEstimators\TreeEstimators.cs (21)
511var dataMatrix = new float[_rowNumber * _columnNumber];
513var labels = new uint[_rowNumber];
516for (/*row index*/ int i = 0; i < _rowNumber; ++i)
558sampleValueGroupedByColumn[j] = new double[_rowNumber];
559sampleIndicesGroupedByColumn[j] = new int[_rowNumber];
560sampleNonZeroCntPerColumn[j] = _rowNumber;
562for (int i = 0; i < _rowNumber; ++i)
572float[] floatLabels = new float[_rowNumber];
573for (int i = 0; i < _rowNumber; ++i)
577var gbmDataSet = new Trainers.LightGbm.Dataset(sampleValueGroupedByColumn, sampleIndicesGroupedByColumn, _columnNumber, sampleNonZeroCntPerColumn, _rowNumber, _rowNumber, "", floatLabels);
580gbmDataSet.PushRows(dataMatrix, _rowNumber, _columnNumber, 0);
583lgbmProbabilities = new double[_rowNumber * _classNumber];
585lgbmRawScores = new double[_rowNumber * _classNumber];
607_rowNumber, _columnNumber, 1, (int)WrappedLightGbmInterface.CApiPredictType.Normal, 0, numberOfTrainingIterations, "", ref nativeLength, result0);
609_rowNumber, _columnNumber, 1, (int)WrappedLightGbmInterface.CApiPredictType.Raw, 0, numberOfTrainingIterations, "", ref nativeLength, result1);
630for (int i = 0; i < _rowNumber; ++i)
666for (int i = 0; i < _rowNumber; ++i)
701for (int i = 0; i < _rowNumber; ++i)
737for (int i = 0; i < _rowNumber; ++i)
766for (int i = 0; i < _rowNumber; ++i)