Implemented interface member:
method
Fit
Microsoft.ML.IEstimator<TTransformer>.Fit(Microsoft.ML.IDataView)
215 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.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 (36)
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 (5)
71
var model = pipeline.
Fit
(data);
100
var model = pipeline.
Fit
(data);
128
var model = pipeline.
Fit
(data);
158
var model = pipeline.
Fit
(data);
306
var model = pipeline.
Fit
(data);
IntrospectiveTraining.cs (6)
87
var model = pipeline.
Fit
(data);
189
var model = pipeline.
Fit
(data);
231
var model = pipeline.
Fit
(data);
268
var model = pipeline.
Fit
(data);
343
var model = pipeline.
Fit
(data);
399
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);
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 (6)
ImageClassificationBench.cs (1)
64
.
Fit
(shuffledFullImagesDataset)
KMeansAndLogisticRegressionBench.cs (1)
44
var model = estimatorPipeline.
Fit
(input);
PredictionEngineBench.cs (1)
62
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.Samples (42)
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 (1)
54
.
Fit
(shuffledFullImagesDataset)
Dynamic\Trainers\MulticlassClassification\ImageClassification\LearningRateSchedulingCifarResnetTransferLearning.cs (2)
58
.
Fit
(trainDataset)
74
.
Fit
(testDataset)
Dynamic\Trainers\MulticlassClassification\ImageClassification\ResnetV2101TransferLearningEarlyStopping.cs (1)
53
.
Fit
(shuffledFullImagesDataset)
Dynamic\Trainers\MulticlassClassification\ImageClassification\ResnetV2101TransferLearningTrainTestSplit.cs (1)
53
.
Fit
(shuffledFullImagesDataset)
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\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\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\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);
Microsoft.ML.Samples.GPU (6)
parent\6a273e5f1a281752\LearningRateSchedulingCifarResnetTransferLearning.cs (2)
58
.
Fit
(trainDataset)
74
.
Fit
(testDataset)
parent\Microsoft.ML.Samples\Dynamic\TensorFlow\TextClassification.cs (1)
118
.
Fit
(dataView);
parent\Microsoft.ML.Samples\Dynamic\Trainers\MulticlassClassification\ImageClassification\ImageClassificationDefault.cs (1)
54
.
Fit
(shuffledFullImagesDataset)
parent\Microsoft.ML.Samples\Dynamic\Trainers\MulticlassClassification\ImageClassification\ResnetV2101TransferLearningEarlyStopping.cs (1)
53
.
Fit
(shuffledFullImagesDataset)
parent\Microsoft.ML.Samples\Dynamic\Trainers\MulticlassClassification\ImageClassification\ResnetV2101TransferLearningTrainTestSplit.cs (1)
53
.
Fit
(shuffledFullImagesDataset)
Microsoft.ML.SamplesUtils (1)
SamplesDatasetUtils.cs (1)
108
var featurizedData = pipeline.
Fit
(data).Transform(data);
Microsoft.ML.TensorFlow.Tests (12)
TensorFlowEstimatorTests.cs (4)
169
using var model = pipe.
Fit
(data);
211
using var pipelineModel = pipe.
Fit
(data);
226
using var pipelineModelBatched = pipe.
Fit
(data);
264
using var model = pipe.
Fit
(data);
TensorflowTests.cs (8)
658
using var trainedModel = pipe.
Fit
(trainData);
834
using var trainedModel = pipe.
Fit
(preprocessedTrainData);
882
using var trainedModel = pipe.
Fit
(trainData);
1011
var pixels = pipeEstimator.
Fit
(data).Transform(data);
1278
.
Fit
(dataView);
1339
var transformer = _mlContext.Model.CreatePredictionEngine<TextInput, TextOutput>(pipeline.
Fit
(dataview));
1847
.
Fit
(shuffledFullImagesDataset)
2041
var transformer = pipeline.
Fit
(data);
Microsoft.ML.Tests (86)
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)
270
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 (8)
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 (8)
184
var model = pipeline.
Fit
(trainData);
239
var trainedModel = pipeline.
Fit
(trainData);
267
return finalPipeline.
Fit
(trainData);
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);
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 (2)
36
var model = pipeline.
Fit
(data).GetModelFor(TransformerScope.Scoring);
85
var model = pipeline.
Fit
(data);
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\MetalinearEstimators.cs (1)
102
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);
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);
