37 references to Apply
Microsoft.ML.Data (23)
DataLoadSave\Binary\BinaryLoader.cs (1)
891return h.Apply("Loading Model",
DataLoadSave\CompositeDataLoader.cs (1)
59return h.Apply("Loading Model", ch => new CompositeDataLoader<TSource, TLastTransformer>(h, ctx));
DataLoadSave\Database\DatabaseLoader.cs (1)
77return h.Apply("Loading Model", ch => new DatabaseLoader(h, ctx));
DataLoadSave\Text\TextLoader.cs (1)
1485return h.Apply("Loading Model", ch => new TextLoader(h, ctx));
DataLoadSave\Transpose\TransposeLoader.cs (1)
493return h.Apply("Loading Model",
DataView\RowToRowMapperTransform.cs (1)
128return h.Apply("Loading Model", ch => new RowToRowMapperTransform(h, ctx, input));
Dirty\ChooseColumnsByIndexTransform.cs (1)
222return h.Apply("Loading Model", ch => new ChooseColumnsByIndexTransform(h, ctx, input));
Evaluators\RankingEvaluator.cs (1)
607return h.Apply("Loading Model", ch => new RankingPerInstanceTransform(h, ctx, input));
Scorers\BinaryClassifierScorer.cs (1)
166return h.Apply("Loading Model", ch => new BinaryClassifierScorer(h, ctx, input));
Scorers\ClusteringScorer.cs (1)
71return h.Apply("Loading Model", ch => new ClusteringScorer(h, ctx, input));
Scorers\GenericScorer.cs (1)
200return h.Apply("Loading Model", ch => new GenericScorer(h, ctx, input));
Scorers\MulticlassClassificationScorer.cs (2)
173return h.Apply("Loading Model", ch => new LabelNameBindableMapper(h, ctx)); 540return h.Apply("Loading Model", ch => new MulticlassClassificationScorer(h, ctx, input));
Transforms\BootstrapSamplingTransformer.cs (1)
160return h.Apply("Loading Model", ch => new BootstrapSamplingTransformer(h, ctx, input));
Transforms\GenerateNumberTransform.cs (1)
307return h.Apply("Loading Model", ch => new GenerateNumberTransform(h, ctx, input));
Transforms\LabelConvertTransform.cs (1)
111return h.Apply("Loading Model",
Transforms\LabelIndicatorTransform.cs (2)
85return h.Apply("Loading Model", 96return h.Apply("Loading Model",
Transforms\NAFilter.cs (1)
166return h.Apply("Loading Model", ch => new NAFilter(h, ctx, input));
Transforms\NopTransform.cs (1)
77return h.Apply("Loading Model", ch => new NopTransform(h, ctx, input));
Transforms\RangeFilter.cs (1)
174return h.Apply("Loading Model", ch => new RangeFilter(h, ctx, input));
Transforms\RowShufflingTransformer.cs (1)
159return h.Apply("Loading Model", ch => new RowShufflingTransformer(h, ctx, input));
Transforms\SkipTakeFilter.cs (1)
165return h.Apply("Loading Model", ch => new SkipTakeFilter(skip, take, h, input));
Microsoft.ML.ImageAnalytics (1)
VectorToImageTransform.cs (1)
260return h.Apply("Loading Model",
Microsoft.ML.Parquet (4)
ParquetLoader.cs (1)
248return host.Apply("Loading Model",
PartitionedFileLoader.cs (1)
252return host.Apply("Loading Model",
PartitionedPathParser.cs (2)
147return host.Apply("Loading Parser", 260return host.Apply("Loading Parser",
Microsoft.ML.TimeSeries (1)
SequentialTransformerBase.cs (1)
790return h.Apply("Loading Model", ch => new TimeSeriesRowToRowMapperTransform(h, ctx, input));
Microsoft.ML.Transforms (8)
GroupTransform.cs (1)
126return h.Apply("Loading Model", ch => new GroupTransform(h, ctx, input));
HashJoiningTransform.cs (1)
286return h.Apply("Loading Model", ch => new HashJoiningTransform(h, ctx, input));
MissingValueIndicatorTransform.cs (1)
105return h.Apply("Loading Model",
OptionalColumnTransform.cs (1)
301return h.Apply("Loading Model", ch => new OptionalColumnTransform(h, ctx, input));
ProduceIdTransform.cs (1)
126return h.Apply("Loading Model", ch => new ProduceIdTransform(h, ctx, input));
SvmLight\SvmLightLoader.cs (1)
618return h.Apply("Loading Model", ch => new SvmLightLoader(h, ctx));
Text\LdaTransform.cs (1)
741return h.Apply(
UngroupTransform.cs (1)
127return h.Apply("Loading Model", ch => new UngroupTransform(h, ctx, input));