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