2 instantiations of Dataset
Microsoft.ML.LightGbm (2)
LightGbmTrainerBase.cs (2)
687Dataset dvalid = new Dataset(dtrain, numRow, labels, weights, groups); 995dataset = new Dataset(sampleValuePerColumn, sampleIndicesPerColumn, catMetaData.NumCol, nonZeroCntPerColumn, sampleIdx, numRow, param, labels, weights, groups);
18 references to Dataset
Microsoft.ML.LightGbm (18)
LightGbmTrainerBase.cs (11)
365Dataset dtrain = null; 366Dataset dvalid = null; 642private Dataset LoadTrainingData(IChannel ch, RoleMappedData trainData, out CategoricalMetaData catMetaData) 659Dataset dtrain; 673private Dataset LoadValidationData(IChannel ch, Dataset dtrain, RoleMappedData validData, CategoricalMetaData catMetaData) 687Dataset dvalid = new Dataset(dtrain, numRow, labels, weights, groups); 695private void TrainCore(IChannel ch, IProgressChannel pch, Dataset dtrain, CategoricalMetaData catMetaData, Dataset dvalid = null) 912out Dataset dataset) 1001private void LoadDataset(IChannel ch, FloatLabelCursor.Factory factory, Dataset dataset, int numRow, int batchSize, CategoricalMetaData catMetaData)
WrappedLightGbmBooster.cs (2)
25public Booster(Dictionary<string, object> parameters, Dataset trainset, Dataset validset = null)
WrappedLightGbmDataset.cs (3)
21/// Create a <see cref="Dataset"/> for storing training and prediction data under LightGBM framework. The main goal of this function 93public Dataset(Dataset reference, int numTotalRow, float[] labels, float[] weights = null, int[] groups = null) 117/// <param name="startRowIdx">The actual row index of the first row pushed in. If it's 36, the first row in data would be the 37th row in <see cref="Dataset"/>.</param>
WrappedLightGbmTraining.cs (2)
19Dictionary<string, object> parameters, Dataset dtrain, Dataset dvalid = null, int numIteration = 100,