Implemented interface member:
method
Fit
Microsoft.ML.IEstimator<TTransformer>.Fit(Microsoft.ML.IDataView)
291 references to Fit
Microsoft.ML.AutoML (5)
API\BinaryClassificationExperiment.cs (1)
423
var model = pipeline.
Fit
(trainTestDatasetManager.LoadTrainDataset(_context, settings));
API\MulticlassClassificationExperiment.cs (1)
401
var model = pipeline.
Fit
(trainTestDatasetManager.LoadTrainDataset(_context, settings));
API\RegressionExperiment.cs (1)
428
var model = pipeline.
Fit
(trainTestDatasetManager.LoadTrainDataset(_context, settings));
AutoMLExperiment\Runner\SweepablePipelineRunner.cs (2)
52
var model = mlnetPipeline.
Fit
(split.TrainSet);
75
var model = mlnetPipeline.
Fit
(trainTestDatasetManager.LoadTrainDataset(_mLContext!, settings));
Microsoft.ML.Core.Tests (1)
UnitTests\TestEntryPoints.cs (1)
1377
var model = pipeline.
Fit
(data);
Microsoft.ML.Data (1)
DataLoadSave\CompositeLoaderEstimator.cs (1)
36
var xfChain = _estimatorChain.
Fit
(idv);
Microsoft.ML.Fairlearn (1)
Reductions\GridSearchTrialRunner.cs (1)
79
var model = pipeline.
Fit
(trainDataset);
Microsoft.ML.IntegrationTests (52)
Datasets\Iris.cs (1)
59
var transformedData = pipeline.
Fit
(data).Transform(data);
Datasets\TrivialMatrixFactorization.cs (1)
34
var transformedData = pipeline.
Fit
(data).Transform(data);
DataTransformation.cs (3)
149
var model = pipeline.
Fit
(data);
179
var transformedData = pipeline.
Fit
(data).Transform(data);
207
var transformedData = pipeline.
Fit
(data).Transform(data);
Debugging.cs (2)
113
var model = pipeline.
Fit
(data);
180
var model = pipeline.
Fit
(data);
Evaluation.cs (7)
71
var model = pipeline.
Fit
(data);
100
var model = pipeline.
Fit
(data);
128
var model = pipeline.
Fit
(data);
158
var model = pipeline.
Fit
(data);
180
var model = pipeline.
Fit
(data);
274
var model = pipeline.
Fit
(data);
306
var model = pipeline.
Fit
(data);
Explainability.cs (8)
42
var model = pipeline.
Fit
(data);
100
var model = pipeline.
Fit
(data);
124
var model = pipeline.
Fit
(data);
151
var model = pipeline.
Fit
(data);
178
var model = pipeline.
Fit
(data);
215
var model = pipeline.
Fit
(data);
252
var model = pipeline.
Fit
(data);
290
var model = pipeline.
Fit
(data);
IntrospectiveTraining.cs (9)
43
var model = pipeline.
Fit
(data);
87
var model = pipeline.
Fit
(data);
148
var model = pipeline.
Fit
(data);
189
var model = pipeline.
Fit
(data);
231
var model = pipeline.
Fit
(data);
268
var model = pipeline.
Fit
(data);
296
var model = pipeline.
Fit
(data);
343
var model = pipeline.
Fit
(data);
399
var model = pipeline.
Fit
(data);
ModelFiles.cs (2)
53
var model = pipeline.
Fit
(data);
100
var model = pipeline.
Fit
(data);
ONNX.cs (3)
47
var model = pipeline.
Fit
(data);
97
var model = pipeline.
Fit
(data);
149
var model = pipeline.
Fit
(data);
Prediction.cs (1)
56
var model = pipeline.
Fit
(data);
SchemaDefinitionTests.cs (3)
38
var model1 = pipeline1.
Fit
(data);
42
var model2 = pipeline2.
Fit
(data);
70
var model = pipeline.
Fit
(loader.Load(data));
Training.cs (11)
54
var featurization = featurizationPipeline.
Fit
(trainData);
99
var featurization = featurizationPipeline.
Fit
(data);
143
var featurization = featurizationPipeline.
Fit
(data);
187
var featurization = featurizationPipeline.
Fit
(data);
231
var featurization = featurizationPipeline.
Fit
(data);
274
var featurization = featurizationPipeline.
Fit
(data);
325
var featurization = featurizationPipeline.
Fit
(data);
369
var featurization = featurizationPipeline.
Fit
(data);
417
var featurization = featurizationPipeline.
Fit
(data);
461
var binaryClassificationModel = binaryClassificationPipeline.
Fit
(data);
493
var binaryClassificationModel = binaryClassificationPipeline.
Fit
(data);
Validation.cs (1)
157
var model = pipeline.
Fit
(data);
Microsoft.ML.OnnxTransformer (1)
DnnImageFeaturizerTransform.cs (1)
109
return _modelChain.
Fit
(input);
Microsoft.ML.OnnxTransformerTest (5)
DnnImageFeaturizerTest.cs (2)
116
var result = pipe.
Fit
(data).Transform(data);
234
var model = trainingPipeline.
Fit
(data);
OnnxTransformTests.cs (3)
261
var model = pipe.
Fit
(data);
312
var model = pipe.
Fit
(data);
645
var model = pipeline.
Fit
(dataView);
Microsoft.ML.PerformanceTests (8)
ImageClassificationBench.cs (2)
64
.
Fit
(shuffledFullImagesDataset)
96
return pipeline.
Fit
(_trainDataset);
KMeansAndLogisticRegressionBench.cs (1)
44
var model = estimatorPipeline.
Fit
(input);
PredictionEngineBench.cs (2)
62
var model = pipeline.
Fit
(data);
97
var model = pipeline.
Fit
(data);
StochasticDualCoordinateAscentClassifierBench.cs (2)
82
return pipeline.
Fit
(data);
115
.
Fit
(text).Transform(text);
TextPredictionEngineCreation.cs (1)
34
var model = pipeline.
Fit
(data);
Microsoft.ML.Predictor.Tests (2)
TestIniModels.cs (2)
532
var model = pipeline.
Fit
(idv);
571
var model = pipeline.
Fit
(idv);
Microsoft.ML.Samples (62)
Dynamic\ModelOperations\OnnxConversion.cs (1)
67
var transformer = wholePipeline.
Fit
(trainTestOriginalData.TrainSet);
Dynamic\NgramExtraction.cs (2)
59
var transformedData_onechars = oneCharsPipeline.
Fit
(trainData)
62
var transformedData_twochars = twoCharsPipeline.
Fit
(trainData)
Dynamic\TensorFlow\TextClassification.cs (1)
118
.
Fit
(dataView);
Dynamic\Trainers\BinaryClassification\PermutationFeatureImportance.cs (1)
34
var model = pipeline.
Fit
(data);
Dynamic\Trainers\BinaryClassification\PermutationFeatureImportanceLoadFromDisk.cs (1)
30
var model0 = pipeline.
Fit
(data);
Dynamic\Trainers\MulticlassClassification\ImageClassification\ImageClassificationDefault.cs (2)
54
.
Fit
(shuffledFullImagesDataset)
86
var trainedModel = pipeline.
Fit
(trainDataset);
Dynamic\Trainers\MulticlassClassification\ImageClassification\LearningRateSchedulingCifarResnetTransferLearning.cs (3)
58
.
Fit
(trainDataset)
74
.
Fit
(testDataset)
121
var trainedModel = pipeline.
Fit
(trainDataset);
Dynamic\Trainers\MulticlassClassification\ImageClassification\ResnetV2101TransferLearningEarlyStopping.cs (2)
53
.
Fit
(shuffledFullImagesDataset)
111
var trainedModel = pipeline.
Fit
(trainDataset);
Dynamic\Trainers\MulticlassClassification\ImageClassification\ResnetV2101TransferLearningTrainTestSplit.cs (2)
53
.
Fit
(shuffledFullImagesDataset)
103
var trainedModel = pipeline.
Fit
(trainDataset);
Dynamic\Trainers\MulticlassClassification\LbfgsMaximumEntropy.cs (1)
36
var model = pipeline.
Fit
(trainingData);
Dynamic\Trainers\MulticlassClassification\LbfgsMaximumEntropyWithOptions.cs (1)
44
var model = pipeline.
Fit
(trainingData);
Dynamic\Trainers\MulticlassClassification\LightGbm.cs (1)
39
var model = pipeline.
Fit
(trainingData);
Dynamic\Trainers\MulticlassClassification\LightGbmWithOptions.cs (1)
49
var model = pipeline.
Fit
(trainingData);
Dynamic\Trainers\MulticlassClassification\LogLossPerClass.cs (1)
36
var model = pipeline.
Fit
(trainingData);
Dynamic\Trainers\MulticlassClassification\NaiveBayes.cs (1)
42
var model = pipeline.
Fit
(trainingData);
Dynamic\Trainers\MulticlassClassification\OneVersusAll.cs (1)
37
var model = pipeline.
Fit
(trainingData);
Dynamic\Trainers\MulticlassClassification\PairwiseCoupling.cs (1)
37
var model = pipeline.
Fit
(trainingData);
Dynamic\Trainers\MulticlassClassification\PermutationFeatureImportance.cs (1)
36
var model = pipeline.
Fit
(data);
Dynamic\Trainers\MulticlassClassification\PermutationFeatureImportanceLoadFromDisk.cs (1)
39
var model0 = pipeline.
Fit
(data);
Dynamic\Trainers\MulticlassClassification\SdcaMaximumEntropy.cs (1)
44
var model = pipeline.
Fit
(trainingData);
Dynamic\Trainers\MulticlassClassification\SdcaMaximumEntropyWithOptions.cs (1)
53
var model = pipeline.
Fit
(trainingData);
Dynamic\Trainers\MulticlassClassification\SdcaNonCalibrated.cs (1)
44
var model = pipeline.
Fit
(trainingData);
Dynamic\Trainers\MulticlassClassification\SdcaNonCalibratedWithOptions.cs (1)
53
var model = pipeline.
Fit
(trainingData);
Dynamic\Trainers\Ranking\PermutationFeatureImportance.cs (1)
36
var model = pipeline.
Fit
(data);
Dynamic\Trainers\Ranking\PermutationFeatureImportanceLoadFromDisk.cs (1)
38
var model0 = pipeline.
Fit
(data);
Dynamic\Trainers\Regression\LightGbmAdvanced.cs (1)
48
var model = pipeline.
Fit
(split.TrainSet);
Dynamic\Trainers\Regression\LightGbmWithOptionsAdvanced.cs (1)
57
var model = pipeline.
Fit
(split.TrainSet);
Dynamic\Trainers\Regression\PermutationFeatureImportance.cs (1)
35
var model = pipeline.
Fit
(data);
Dynamic\Trainers\Regression\PermutationFeatureImportanceLoadFromDisk.cs (1)
37
var model0 = pipeline.
Fit
(data);
Dynamic\Transforms\ApplyONNXModelWithInMemoryImages.cs (1)
49
var model = pipeline.
Fit
(dataView);
Dynamic\Transforms\CalculateFeatureContribution.cs (1)
30
var transformer = transformPipeline.
Fit
(data);
Dynamic\Transforms\CalculateFeatureContributionCalibrated.cs (1)
30
var transformer = transformPipeline.
Fit
(data);
Dynamic\Transforms\Concatenate.cs (1)
55
var transformedData = pipeline.
Fit
(dataview).Transform(dataview);
Dynamic\Transforms\Conversion\Hash.cs (1)
49
var transformer = pipeline.
Fit
(data);
Dynamic\Transforms\Conversion\KeyToValueToKey.cs (3)
48
var transformedDataDefault = defaultPipeline.
Fit
(trainData).Transform(
51
var transformedDataCustomized = customizedPipeline.
Fit
(trainData)
88
transformedDataDefault = pipeline.
Fit
(trainData).Transform(trainData);
Dynamic\Transforms\Conversion\MapKeyToValueMultiColumn.cs (1)
39
var dataWithPredictions = pipeline.
Fit
(dataView).Transform(dataView);
Dynamic\Transforms\Conversion\MapKeyToVector.cs (1)
52
IDataView transformedData = pipeline.
Fit
(data).Transform(data);
Dynamic\Transforms\Conversion\MapValue.cs (1)
67
IDataView transformedData = pipeline.
Fit
(data).Transform(data);
Dynamic\Transforms\Expression.cs (1)
42
var transformedData = pipeline.
Fit
(dataview).Transform(dataview);
Dynamic\Transforms\FeatureSelection\SelectFeaturesBasedOnCount.cs (1)
44
var transformedData = pipeline.
Fit
(data).Transform(data);
Dynamic\Transforms\ImageAnalytics\ConvertToGrayScale.cs (1)
50
var transformedData = pipeline.
Fit
(data).Transform(data);
Dynamic\Transforms\ImageAnalytics\ConvertToImage.cs (1)
36
var transformedData = pipeline.
Fit
(data).Transform(data);
Dynamic\Transforms\ImageAnalytics\DnnFeaturizeImage.cs (1)
56
var transformedData = pipeline.
Fit
(data).Transform(data);
Dynamic\Transforms\ImageAnalytics\ExtractPixels.cs (1)
55
var transformedData = pipeline.
Fit
(data).Transform(data);
Dynamic\Transforms\ImageAnalytics\ResizeImages.cs (1)
49
var transformedData = pipeline.
Fit
(data).Transform(data);
Dynamic\Transforms\Text\ApplyCustomWordEmbedding.cs (1)
54
var textTransformer = textPipeline.
Fit
(emptyDataView);
Dynamic\Transforms\Text\ApplyWordEmbedding.cs (1)
44
var textTransformer = textPipeline.
Fit
(emptyDataView);
Dynamic\Transforms\Text\LatentDirichletAllocation.cs (1)
51
var transformer = pipeline.
Fit
(dataview);
Dynamic\Transforms\Text\ProduceHashedNgrams.cs (1)
56
var textTransformer = textPipeline.
Fit
(dataview);
Dynamic\Transforms\Text\ProduceNgrams.cs (1)
64
var textTransformer = textPipeline.
Fit
(dataview);
Dynamic\Transforms\Text\RemoveDefaultStopWords.cs (1)
37
var textTransformer = textPipeline.
Fit
(emptyDataView);
Dynamic\Transforms\Text\RemoveStopWords.cs (1)
36
var textTransformer = textPipeline.
Fit
(emptyDataView);
Dynamic\Transforms\Text\TokenizeIntoCharactersAsKeys.cs (1)
35
var textTransformer = textPipeline.
Fit
(emptyDataView);
Dynamic\WithOnFitDelegate.cs (1)
55
var model = pipeline.
Fit
(data);
Microsoft.ML.Samples.GPU (10)
docs\samples\Microsoft.ML.Samples\Dynamic\TensorFlow\TextClassification.cs (1)
118
.
Fit
(dataView);
docs\samples\Microsoft.ML.Samples\Dynamic\Trainers\MulticlassClassification\ImageClassification\ImageClassificationDefault.cs (2)
54
.
Fit
(shuffledFullImagesDataset)
86
var trainedModel = pipeline.
Fit
(trainDataset);
docs\samples\Microsoft.ML.Samples\Dynamic\Trainers\MulticlassClassification\ImageClassification\LearningRateSchedulingCifarResnetTransferLearning.cs (3)
58
.
Fit
(trainDataset)
74
.
Fit
(testDataset)
121
var trainedModel = pipeline.
Fit
(trainDataset);
docs\samples\Microsoft.ML.Samples\Dynamic\Trainers\MulticlassClassification\ImageClassification\ResnetV2101TransferLearningEarlyStopping.cs (2)
53
.
Fit
(shuffledFullImagesDataset)
111
var trainedModel = pipeline.
Fit
(trainDataset);
docs\samples\Microsoft.ML.Samples\Dynamic\Trainers\MulticlassClassification\ImageClassification\ResnetV2101TransferLearningTrainTestSplit.cs (2)
53
.
Fit
(shuffledFullImagesDataset)
103
var trainedModel = pipeline.
Fit
(trainDataset);
Microsoft.ML.SamplesUtils (1)
SamplesDatasetUtils.cs (1)
108
var featurizedData = pipeline.
Fit
(data).Transform(data);
Microsoft.ML.TensorFlow.Tests (16)
TensorFlowEstimatorTests.cs (4)
169
using var model = pipe.
Fit
(data);
211
var schema = pipe.
Fit
(data).Transform(data).Schema;
225
schema = pipe.
Fit
(data).Transform(data).Schema;
262
using var model = pipe.
Fit
(data);
TensorflowTests.cs (12)
673
using var trainedModel = pipe.
Fit
(trainData);
849
using var trainedModel = pipe.
Fit
(preprocessedTrainData);
897
using var trainedModel = pipe.
Fit
(trainData);
1026
var pixels = pipeEstimator.
Fit
(data).Transform(data);
1291
.
Fit
(dataView);
1352
var transformer = _mlContext.Model.CreatePredictionEngine<TextInput, TextOutput>(pipeline.
Fit
(dataview));
1422
using var trainedModel = pipeline.
Fit
(trainDataset);
1525
using var trainedModel = pipeline.
Fit
(trainDataset);
1684
using var trainedModel = pipeline.
Fit
(trainDataset);
1816
using var trainedModel = pipeline.
Fit
(trainDataset);
1860
.
Fit
(shuffledFullImagesDataset)
2067
var transformer = pipeline.
Fit
(data);
Microsoft.ML.Tests (113)
CachingTests.cs (2)
49
pipe.
Fit
(ML.Data.LoadFromEnumerable(trainData));
59
pipe.
Fit
(ML.Data.LoadFromEnumerable(trainData));
CalibratedModelParametersTests.cs (1)
137
.
Fit
(srcDV).Transform(srcDV);
DatabaseLoaderTests.cs (1)
209
var model = pipeline.
Fit
(trainingData);
FeatureContributionTests.cs (5)
319
.
Fit
(srcDV).Transform(srcDV);
322
.
Fit
(srcDV).Transform(srcDV);
325
.
Fit
(srcDV).Transform(srcDV);
327
return pipeline.
Fit
(srcDV).Transform(srcDV);
435
return dataProcessPipeline.
Fit
(someRows).Transform(someRows);
OnnxConversionTest.cs (2)
798
using var model = pipeline.
Fit
(data);
2241
using var model = pipeline.
Fit
(dataView);
PermutationFeatureImportanceTests.cs (9)
106
var model = ML.Transforms.CopyColumns("Label", "Label").Append(ML.Regression.Trainers.OnlineGradientDescent()).
Fit
(data);
862
.
Fit
(srcDV).Transform(srcDV);
865
.
Fit
(srcDV).Transform(srcDV);
868
.
Fit
(srcDV).Transform(srcDV);
870
return pipeline.
Fit
(srcDV).Transform(srcDV);
943
.
Fit
(srcDV).Transform(srcDV);
948
.
Fit
(srcDV).Transform(srcDV);
952
.
Fit
(srcDV).Transform(srcDV);
954
return pipeline.
Fit
(srcDV).Transform(srcDV);
Scenarios\Api\CookbookSamples\CookbookSamplesDynamicApi.cs (14)
113
var model = pipeline.
Fit
(data);
184
var model = pipeline.
Fit
(trainData);
239
var trainedModel = pipeline.
Fit
(trainData);
267
return finalPipeline.
Fit
(trainData);
355
var model = pipeline.
Fit
(data);
395
var model = pipeline.
Fit
(data);
430
var model = pipeline.
Fit
(data);
466
var model = pipeline.
Fit
(data);
547
var transformedData = pipeline.
Fit
(data).Transform(data);
603
var transformedData = pipeline.
Fit
(data).Transform(data);
622
var model = fullLearningPipeline.
Fit
(data);
658
var model = pipeline.
Fit
(split.TrainSet);
749
var model = estimator.
Fit
(cachedTrainData);
783
return estimator.
Fit
(trainData);
Scenarios\Api\Estimators\DecomposableTrainAndPredict.cs (1)
39
var model = pipeline.
Fit
(data).GetModelFor(TransformerScope.Scoring);
Scenarios\Api\Estimators\Extensibility.cs (1)
48
var model = pipeline.
Fit
(data).GetModelFor(TransformerScope.Scoring);
Scenarios\Api\Estimators\MultithreadedPrediction.cs (1)
37
var model = pipeline.
Fit
(data);
Scenarios\Api\Estimators\PredictAndMetadata.cs (3)
36
var model = pipeline.
Fit
(data).GetModelFor(TransformerScope.Scoring);
85
var model = pipeline.
Fit
(data);
119
var model2 = pipelineUnamed.
Fit
(data2);
Scenarios\Api\Estimators\SimpleTrainAndPredict.cs (2)
35
var model = pipeline.
Fit
(data);
74
var model = pipeline.
Fit
(data);
Scenarios\IrisPlantClassificationTests.cs (1)
46
var trainedModel = pipe.
Fit
(trainData);
Scenarios\IrisPlantClassificationWithStringLabelTests.cs (1)
45
var trainedModel = pipe.
Fit
(trainData);
Scenarios\RegressionTest.cs (1)
40
var model = trainingPipeline.
Fit
(trainingDataView);
Scenarios\WordBagTest.cs (2)
38
var textTransformer = textPipeline.
Fit
(dataview);
73
var textTransformer = textPipeline.
Fit
(dataview);
ScenariosWithDirectInstantiation\IrisPlantClassificationTests.cs (1)
44
var trainedModel = pipe.
Fit
(trainData);
TrainerEstimators\FAFMEstimator.cs (1)
28
var model = pipeline.
Fit
(dataView);
TrainerEstimators\LbfgsTests.cs (2)
171
var transformer = pipeWithTrainer.
Fit
(dataView);
193
var transformer = pipeWithTrainer.
Fit
(dataView);
TrainerEstimators\MetalinearEstimators.cs (1)
102
var model = pipeline.
Fit
(data);
TrainerEstimators\SdcaTests.cs (4)
182
var modelWithoutWeights = sdcaWithoutWeightMulticlass.
Fit
(data);
183
var modelWithWeights = sdcaWithWeightMulticlass.
Fit
(data);
281
var model = pipeline.
Fit
(data);
315
var model = pipeline.
Fit
(data);
TrainerEstimators\TreeEnsembleFeaturizerTest.cs (13)
333
var model = pipeline.
Fit
(dataView);
379
var model = pipeline.
Fit
(dataView);
418
var model = pipeline.
Fit
(dataView);
457
var model = pipeline.
Fit
(dataView);
495
var model = pipeline.
Fit
(dataView);
533
var model = pipeline.
Fit
(dataView);
571
var model = pipeline.
Fit
(dataView);
609
var model = pipeline.
Fit
(dataView);
666
var model = pipeline.
Fit
(dataView);
698
var secondModel = secondPipeline.
Fit
(dataView);
742
var wrongModel = wrongPipeline.
Fit
(dataView);
753
var model = pipeline.
Fit
(dataView);
809
var model = pipeline.
Fit
(trainData);
TrainerEstimators\TreeEstimators.cs (12)
328
var data = pipe.
Fit
(dataView).Transform(dataView).Preview();
373
var transformedDataView = pipe.
Fit
(dataView).Transform(dataView);
753
var model = pipeline.
Fit
(trainingData);
760
model = pipeline.
Fit
(trainingData);
767
model = pipeline.
Fit
(trainingData);
783
var model = pipe.
Fit
(dataView);
991
var transformer = estimator.
Fit
(dataView);
1009
var transformer = estimator.
Fit
(dataView);
1038
var action = () => estimator.
Fit
(dataView);
1057
var transformer = trainer.
Fit
(dataView);
1092
var action = () => trainer.
Fit
(dataView);
1120
var action = () => trainer.
Fit
(dataView);
Transformers\CategoricalHashTests.cs (1)
102
var savedData = ML.Data.TakeRows(est.
Fit
(data).Transform(data), 4);
Transformers\CategoricalTests.cs (1)
174
var savedData = ML.Data.TakeRows(est.
Fit
(data).Transform(data), 4);
Transformers\ConcatTests.cs (1)
71
data = pipe.
Fit
(data).Transform(data);
Transformers\ConvertTests.cs (1)
346
dataView = pipe.
Fit
(dataView).Transform(dataView);
Transformers\ExpressionTransformerTests.cs (1)
49
var transformed = expr.
Fit
(loader.Load(dataPath)).Transform(loader.Load(dataPath));
Transformers\FeatureSelectionTests.cs (3)
50
var savedData = ML.Data.TakeRows(est.
Fit
(data).Transform(data), 4);
129
var savedData = ML.Data.TakeRows(est.
Fit
(data).Transform(data), 4);
189
var savedData = ML.Data.TakeRows(est.
Fit
(data).Transform(data), 4);
Transformers\HashTests.cs (1)
389
var transformed = pipeline.
Fit
(dataView).Transform(dataView);
Transformers\KeyToValueTests.cs (1)
83
var data2Transformed = est.
Fit
(transformedData).Transform(transformedData);
Transformers\KeyToVectorEstimatorTests.cs (2)
259
var featurizedData = pipeline.
Fit
(dataview).Transform(dataview);
263
var transformer = pipeline.
Fit
(featurizedData);
Transformers\NAIndicatorTests.cs (1)
140
var result = newpipe.
Fit
(dataView).Transform(dataView);
Transformers\NAReplaceTests.cs (1)
143
var savedData = ML.Data.TakeRows(est.
Fit
(data).Transform(data), 4);
Transformers\NormalizerTests.cs (5)
256
var transformer = est.
Fit
(data);
675
var savedData = ML.Data.TakeRows(est.
Fit
(data).Transform(data), 4);
709
var savedData = ML.Data.TakeRows(est.
Fit
(data).Transform(data), 4);
772
var savedData = ML.Data.TakeRows(est.
Fit
(data).Transform(data), 4);
832
var savedData = ML.Data.TakeRows(est.
Fit
(data).Transform(data), 4);
Transformers\SelectColumnsTests.cs (3)
135
var transformer = chain.
Fit
(dataView);
158
var transformer = chain.
Fit
(dataView);
200
var transformer = est.
Fit
(dataView);
Transformers\TextFeaturizerTests.cs (5)
475
var savedData = ML.Data.TakeRows(est.
Fit
(data).Transform(data), 4);
544
var savedData = ML.Data.TakeRows(est.
Fit
(data).Transform(data), 4);
605
var savedData = ML.Data.TakeRows(est.
Fit
(data).Transform(data), 4);
640
var savedData = ML.Data.TakeRows(est.
Fit
(data).Transform(data), 4);
697
var transformer = est.
Fit
(data);
Transformers\TextNormalizer.cs (1)
63
var savedData = ML.Data.TakeRows(pipeVariations.
Fit
(dataView).Transform(dataView), 5);
Transformers\ValueMappingTests.cs (2)
112
var t = estimator.
Fit
(dataView);
561
var t = estimator.
Fit
(dataView);
Transformers\WordEmbeddingsTests.cs (2)
44
var words = est.
Fit
(data).Transform(data);
79
var words = est.
Fit
(data).Transform(data);
Microsoft.ML.TimeSeries.Tests (3)
TimeSeriesDirectApi.cs (3)
239
var model = pipeline.
Fit
(dataView);
316
var model = pipeline.
Fit
(dataView);
455
.
Fit
(dataView);
Microsoft.ML.TorchSharp.Tests (8)
NerTests.cs (3)
79
var transformer = estimator.
Fit
(dataView);
158
var transformer = estimator.
Fit
(dataView);
232
var transformer = estimator.
Fit
(trainTest.TrainSet);
QATests.cs (1)
52
var transformer = estimator.
Fit
(dataView);
TextClassificationTests.cs (4)
108
var transformer = estimator.
Fit
(dataView);
180
var model = pipeline.
Fit
(trainTestSplit.TrainSet);
246
var transformer = estimator.
Fit
(dataView);
330
var transformer = estimator.
Fit
(preppedData);
Microsoft.ML.Transforms (2)
OneHotEncoding.cs (1)
130
_transformer = term.Append(toVector).
Fit
(input);
OneHotHashEncoding.cs (1)
172
_transformer = hash.Append(keyToVector).
Fit
(input);
