6 implementations of
Microsoft.ML.FastTree (6)
Dataset\DenseIntArray.cs (1)
42public abstract int this[int index] { get; set; }
Dataset\FeatureFlock.cs (1)
1071public int this[int index]
Dataset\OneHotFeatureFlock.cs (1)
49public int this[int index]
Dataset\RepeatIntArray.cs (1)
155public unsafe int this[int virtualIndex]
Dataset\SegmentIntArray.cs (1)
357public unsafe int this[int virtualIndex]
Dataset\SparseIntArray.cs (1)
543public unsafe int this[int virtualIndex]
17 references to
Microsoft.ML.FastTree (17)
Dataset\IntArray.cs (5)
230int featureBin = input.DocIndices == null ? indexer[i] : indexer[input.DocIndices[i]]; 250int featureBin = input.DocIndices == null ? indexer[i] : indexer[input.DocIndices[i]]; 301int val = ind[i];
Dataset\OneHotFeatureFlock.cs (2)
53int val = _indexer[index]; 92int val = _indexer[rowIndex];
Dataset\RepeatIntArray.cs (2)
188return new DeltaRepeatIntArray(itemIndices.Length, BitsPerItem, itemIndices.Select(i => indexer[i])); 201return new DeltaRepeatIntArray(a.Length, BitsPerItem, a.Select(i => indexer[i]));
Dataset\SingletonFeatureFlock.cs (1)
90return _indexer[rowIndex];
Dataset\SparseIntArray.cs (2)
206parts[i] = IntArray.New(assignment[i].Length, IntArrayType.Sparse, BitsPerItem, assignment[i].Select(x => indexer[x])); 221return IntArray.New(itemIndices.Length, IntArrayType.Sparse, BitsPerItem, itemIndices.Select(x => indexer[x]));
GamTrainer.cs (2)
410if (featureIndexer[doc] <= _subGraph.Splits[featureIndex][iteration].SplitPoint) 508var bin = featureIndexer[doc];
Training\DocumentPartitioning.cs (3)
220if (indexer[doc] > threshold) 266int hotFeature = flockBinIndex[doc]; 322if (indexer[doc] > threshold)