Implemented interface member:
method
Fit
Microsoft.ML.IEstimator<TTransformer>.Fit(Microsoft.ML.IDataView)
166 references to Fit
Microsoft.ML.AutoML (1)
Utils\SplitUtil.cs (1)
67
return context.Transforms.DropColumns(columnsToDrop.ToArray()).
Fit
(data).Transform(data);
Microsoft.ML.AutoML.Tests (1)
UserInputValidationTests.cs (1)
360
trainingData = convertLabelToBoolEstimator.
Fit
(trainingData).Transform(trainingData);
Microsoft.ML.Core.Tests (1)
UnitTests\TestCustomTypeRegister.cs (1)
186
var model = heroEstimator.
Fit
(tribeDataView);
Microsoft.ML.Data (2)
DataLoadSave\DataOperationsCatalog.cs (1)
580
data = new ColumnCopyingEstimator(env, (splitColumnName, samplingKeyColumn)).
Fit
(data).Transform(data);
DataLoadSave\TrivialEstimator.cs (1)
11
/// the transformer and returns it on every call to <see cref="
Fit
(IDataView)"/>.
Microsoft.ML.Fairlearn (1)
Metrics\FairlearnMetricCatalog.cs (1)
69
var data = convertToString.
Fit
(_eval).Transform(_eval);
Microsoft.ML.IntegrationTests (11)
DataTransformation.cs (2)
64
var transformedData = pipeline.
Fit
(data).Transform(data);
110
var transformedData = pipeline.
Fit
(data).Transform(data);
Explainability.cs (4)
186
var outputData = featureContributions.
Fit
(scoredData).Transform(scoredData);
223
var outputData = featureContributions.
Fit
(scoredData).Transform(scoredData);
260
var outputData = featureContributions.
Fit
(scoredData).Transform(scoredData);
298
var outputData = featureContributions.
Fit
(scoredData).Transform(scoredData);
ONNX.cs (4)
61
var onnxModel = onnxEstimator.
Fit
(data);
107
var onnxModel = onnxEstimator.
Fit
(data);
112
mlContext.Transforms.CopyColumns("Score", "Score").
Fit
(onnxModel.Transform(data)));
159
var onnxModel = onnxEstimator.
Fit
(data);
SchemaDefinitionTests.cs (1)
89
model = model.Append(custom.
Fit
(model.Transform(loader.Load(data))) as ITransformer);
Microsoft.ML.OnnxTransformerTest (16)
OnnxTransformTests.cs (16)
169
var onnxTransformer = pipe.
Fit
(invalidDataWrongVectorSize);
197
var transformer = est.
Fit
(dataView);
370
var onnxTransformer = pipeline.
Fit
(dataView);
409
var onnxTransformer = pipeline.
Fit
(dataView);
437
var onnxTransformer = pipeline.
Fit
(dataView);
477
var onnxTransformer = pipeline.
Fit
(dataView);
503
onnxTransformer = pipeline.
Fit
(dataView);
537
var onnxTransformer = pipeline.
Fit
(idv);
563
var onnxTransformer = pipeline.
Fit
(idv);
695
var onnxTransformer = pipeline.
Fit
(dataView);
748
var onnxTransformer = pipeline.
Fit
(dataView);
862
var model = pipeline.
Fit
(dataView);
912
onnxTransformer[0] = pipeline[0].
Fit
(dataView);
919
onnxTransformer[1] = pipeline[1].
Fit
(dataView);
924
onnxTransformer[2] = pipeline[2].
Fit
(dataView);
1075
var model = pipeline.
Fit
(dataView);
Microsoft.ML.Samples (33)
Dynamic\ModelOperations\OnnxConversion.cs (1)
86
using var onnxTransformer = onnxEstimator.
Fit
(trainTestOriginalData.TrainSet);
Dynamic\SimpleDataViewImplementation.cs (1)
37
"TokenizedText", "Text").
Fit
(dataView).Transform(dataView);
Dynamic\Transforms\ApplyOnnxModel.cs (1)
30
var transformedValues = pipeline.
Fit
(data).Transform(data);
Dynamic\Transforms\CalculateFeatureContribution.cs (1)
53
.CalculateFeatureContribution(linearModel, normalize: false).
Fit
(
Dynamic\Transforms\CalculateFeatureContributionCalibrated.cs (1)
56
.
Fit
(simpleScoredDataset);
Dynamic\Transforms\Conversion\ConvertType.cs (1)
27
var transformer = pipeline.
Fit
(data);
Dynamic\Transforms\Conversion\ConvertTypeMultiColumn.cs (1)
50
var transformer = pipeline.
Fit
(data);
Dynamic\Transforms\Conversion\MapKeyToBinaryVector.cs (1)
39
IDataView transformedData = pipeline.
Fit
(data).Transform(data);
Dynamic\Transforms\Conversion\MapKeyToValueMultiColumn.cs (1)
54
var transformedData = newPipeline.
Fit
(dataWithPredictions).Transform(
Dynamic\Transforms\Conversion\MapKeyToVectorMultiColumn.cs (1)
40
IDataView transformedData = pipeline.
Fit
(data).Transform(data);
Dynamic\Transforms\Conversion\MapValueIdvLookup.cs (1)
51
IDataView transformedData = pipeline.
Fit
(data).Transform(data);
Dynamic\Transforms\Conversion\MapValueToArray.cs (1)
48
IDataView transformedData = pipeline.
Fit
(data).Transform(data);
Dynamic\Transforms\CopyColumns.cs (1)
52
var transformedData = pipeline.
Fit
(dataview).Transform(dataview);
Dynamic\Transforms\CustomMapping.cs (1)
44
var transformer = pipeline.
Fit
(data);
Dynamic\Transforms\CustomMappingSaveAndLoad.cs (1)
42
var transformer = pipeline.
Fit
(data);
Dynamic\Transforms\CustomMappingWithInMemoryCustomType.cs (1)
33
var model = pipeline.
Fit
(tribeDataView);
Dynamic\Transforms\DropColumns.cs (1)
47
var transformedData = pipeline.
Fit
(dataview).Transform(dataview);
Dynamic\Transforms\ImageAnalytics\ConvertToGrayScaleInMemory.cs (1)
27
var model = pipeline.
Fit
(data);
Dynamic\Transforms\ImageAnalytics\LoadImages.cs (1)
47
var transformedData = pipeline.
Fit
(data).Transform(data);
Dynamic\Transforms\IndicateMissingValues.cs (1)
35
var tansformer = pipeline.
Fit
(data);
Dynamic\Transforms\IndicateMissingValuesMultiColumn.cs (1)
43
var tansformer = pipeline.
Fit
(data);
Dynamic\Transforms\NormalizeGlobalContrast.cs (1)
33
var tansformer = approximation.
Fit
(data);
Dynamic\Transforms\NormalizeLpNorm.cs (1)
34
var tansformer = approximation.
Fit
(data);
Dynamic\Transforms\SelectColumns.cs (1)
47
var transformedData = pipeline.
Fit
(dataview).Transform(dataview);
Dynamic\Transforms\StatefulCustomMapping.cs (1)
58
var transformer = pipeline.
Fit
(data);
Dynamic\Transforms\Text\NormalizeText.cs (1)
33
var normTextTransformer = normTextPipeline.
Fit
(emptyDataView);
Dynamic\Transforms\Text\TokenizeIntoWords.cs (1)
33
var textTransformer = textPipeline.
Fit
(emptyDataView);
Dynamic\Transforms\TimeSeries\DetectAnomalyBySrCnn.cs (1)
42
outputColumnName, inputColumnName, 16, 5, 5, 3, 8, 0.35).
Fit
(
Dynamic\Transforms\TimeSeries\DetectAnomalyBySrCnnBatchPrediction.cs (1)
38
outputColumnName, inputColumnName, 16, 5, 5, 3, 8, 0.35).
Fit
(
Dynamic\Transforms\TimeSeries\DetectIidChangePoint.cs (1)
58
outputColumnName, inputColumnName, 95.0d, Size / 4).
Fit
(dataView);
Dynamic\Transforms\TimeSeries\DetectIidChangePointBatchPrediction.cs (1)
56
outputColumnName, inputColumnName, 95.0d, Size / 4).
Fit
(dataView)
Dynamic\Transforms\TimeSeries\DetectIidSpike.cs (1)
50
inputColumnName, 95.0d, Size).
Fit
(dataView);
Dynamic\Transforms\TimeSeries\DetectIidSpikeBatchPrediction.cs (1)
48
inputColumnName, 95.0d, Size / 4).
Fit
(dataView).Transform(dataView);
Microsoft.ML.TensorFlow.Tests (10)
TensorflowTests.cs (10)
509
var pixels = _mlContext.Transforms.ExtractPixels("image_tensor", "ImageCropped", outputAsFloatArray: false).
Fit
(cropped).Transform(cropped);
553
var images = _mlContext.Transforms.LoadImages("ImageReal", "ImagePath", imageFolder).
Fit
(data).Transform(data);
554
var cropped = _mlContext.Transforms.ResizeImages("ImageCropped", 224, 224, "ImageReal").
Fit
(images).Transform(images);
555
var pixels = _mlContext.Transforms.ExtractPixels(inputName, "ImageCropped", interleavePixelColors: true).
Fit
(cropped).Transform(cropped);
1076
var images = _mlContext.Transforms.LoadImages("ImageReal", imageFolder, "ImagePath").
Fit
(data).Transform(data);
1077
var cropped = _mlContext.Transforms.ResizeImages("ImageCropped", imageWidth, imageHeight, "ImageReal").
Fit
(images).Transform(images);
1078
var pixels = _mlContext.Transforms.ExtractPixels("Input", "ImageCropped", interleavePixelColors: true).
Fit
(cropped).Transform(cropped);
1493
.
Fit
(testDataset)
1625
.
Fit
(testDataset)
1782
.
Fit
(testDataset)
Microsoft.ML.TestFramework (1)
DataPipe\TestDataPipe.cs (1)
859
view2 = ML.Transforms.SelectColumns(colsChoose).
Fit
(view2).Transform(view2);
Microsoft.ML.Tests (80)
ImagesTests.cs (2)
242
var model = pipeline.
Fit
(data);
1186
var model = pipeline.
Fit
(dataView);
OnnxConversionTest.cs (10)
827
var onnxTransformer = onnxEstimator.
Fit
(data);
989
var onnxTransformer = onnxEstimator.
Fit
(dataView);
1516
var onnxTransformer = onnxEstimator.
Fit
(dataView);
1633
var onnxTransformer = onnxEstimator.
Fit
(dataView);
1726
var mlmodel = mlpipeline.
Fit
(dataView);
1744
var loadedModel = pipeline.
Fit
(dataView);
1792
var model = pipeline2.
Fit
(reloadedData);
1807
var onnxTransformer = onnxEstimator.
Fit
(reloadedData);
1820
var onnxTransformer2 = onnxEstimator2.
Fit
(originalData);
2255
var onnxTransformer = onnxEstimator.
Fit
(dataView);
OnnxSequenceTypeWithAttributesTest.cs (2)
52
var model = pipeline.
Fit
(dataView);
91
var model = pipeline.
Fit
(dataView);
Scenarios\Api\CookbookSamples\CookbookSamplesDynamicApi.cs (2)
474
var featureContributionData = featureContributionCalculation.
Fit
(transfomedData).Transform(transfomedData);
771
return estimator.
Fit
(data).Transform(data);
Scenarios\Api\TestApi.cs (1)
180
xf = mlContext.Transforms.Conversion.ConvertType("Label", outputKind: DataKind.Boolean).
Fit
(xf).Transform(xf);
TrainerEstimators\SdcaTests.cs (1)
29
.
Fit
(data).Transform(data);
Transformers\CategoricalHashTests.cs (1)
103
var view = ML.Transforms.SelectColumns("A", "B", "C", "D", "E", "F").
Fit
(savedData).Transform(savedData);
Transformers\CategoricalTests.cs (1)
175
var view = ML.Transforms.SelectColumns("A", "B", "C", "D", "E").
Fit
(savedData).Transform(savedData);
Transformers\CharTokenizeTests.cs (1)
63
var result = pipe.
Fit
(dataView).Transform(dataView);
Transformers\ConcatTests.cs (2)
83
data = ML.Transforms.SelectColumns("f1", "f2", "f3", "f4").
Fit
(data).Transform(data);
147
data = ML.Transforms.SelectColumns("f2", "f3").
Fit
(data).Transform(data);
Transformers\ConvertTests.cs (4)
187
var actualConvertedValues = allTypesPipe.
Fit
(allTypesDataView).Transform(allTypesDataView);
262
var convertedValues = allInputTypesDataPipe.
Fit
(allInputTypesDataView).Transform(allInputTypesDataView);
323
var result = pipe.
Fit
(dataView).Transform(dataView);
401
DataKind.UInt64, "key", new KeyCount(4)) }).
Fit
(dataView);
Transformers\CopyColumnEstimatorTests.cs (6)
51
var transformer = est.
Fit
(dataView);
65
var transformer = est.
Fit
(dataView);
82
var transformer = est.
Fit
(dataView);
100
var transformer = est.
Fit
(dataView);
118
var transformer = est.
Fit
(dataView);
141
var transformer = est.
Fit
(term);
Transformers\CustomMappingTests.cs (4)
77
transformedData = customEst.
Fit
(data).Transform(data);
106
var badData1 = ML.Transforms.CopyColumns("Text1", "Float1").
Fit
(data).Transform(data);
114
var badData2 = ML.Transforms.SelectColumns(new[] { "Float1" }).
Fit
(data).Transform(data);
183
var transformedData = customEst.
Fit
(data).Transform(data);
Transformers\FeatureSelectionTests.cs (1)
51
savedData = ML.Transforms.SelectColumns("bag_of_words_count", "bag_of_words_mi").
Fit
(savedData).Transform(savedData);
Transformers\KeyToBinaryVectorEstimatorTest.cs (2)
107
var result = pipe.
Fit
(dataView).Transform(dataView);
156
var result = pipe.
Fit
(dataView).Transform(dataView);
Transformers\KeyToValueTests.cs (3)
55
IDataView savedData = est.
Fit
(data).Transform(data);
85
var dataLeft = ML.Transforms.SelectColumns(new[] { "ScalarString", "VectorString" }).
Fit
(data).Transform(data);
86
var dataRight = ML.Transforms.SelectColumns(new[] { "ScalarString", "VectorString" }).
Fit
(data2Transformed).Transform(data2Transformed);
Transformers\KeyToVectorEstimatorTests.cs (2)
125
var result = pipe.
Fit
(dataView).Transform(dataView);
218
var result = pipe.
Fit
(dataView).Transform(dataView);
Transformers\NAIndicatorTests.cs (2)
81
var result = pipe.
Fit
(dataView).Transform(dataView);
117
var savedData = ML.Data.TakeRows(est.
Fit
(data).Transform(data), 4);
Transformers\NAReplaceTests.cs (1)
144
var view = ML.Transforms.SelectColumns("A", "B", "C", "D", "E").
Fit
(savedData).Transform(savedData);
Transformers\NormalizerTests.cs (7)
91
var dataView = ML.Transforms.DropColumns(new[] { "float0" }).
Fit
(transformedData).Transform(transformedData);
676
savedData = ML.Transforms.SelectColumns("lpnorm", "gcnorm", "whitened").
Fit
(savedData).Transform(savedData);
710
savedData = ML.Transforms.SelectColumns("whitened1", "whitened2").
Fit
(savedData).Transform(savedData);
773
savedData = ML.Transforms.SelectColumns("lpNorm1", "lpNorm2").
Fit
(savedData).Transform(savedData);
800
var result = pipe.
Fit
(dataView).Transform(dataView);
833
savedData = ML.Transforms.SelectColumns("gcnNorm1", "gcnNorm2").
Fit
(savedData).Transform(savedData);
860
var result = pipe.
Fit
(dataView).Transform(dataView);
Transformers\PcaTests.cs (1)
61
savedData = ML.Transforms.SelectColumns("pca").
Fit
(savedData).Transform(savedData);
Transformers\SelectColumnsTests.cs (5)
50
var transformer = est.
Fit
(dataView);
71
var transformer = est.
Fit
(dataView);
90
var transformer = est.
Fit
(dataView);
125
Assert.Throws<ArgumentOutOfRangeException>(() => est.
Fit
(dataView));
180
var transformer = est.
Fit
(dataView);
Transformers\TextFeaturizerTests.cs (8)
445
savedData = ML.Transforms.SelectColumns("Data", "OutputTokens").
Fit
(savedData).Transform(savedData);
476
savedData = ML.Transforms.SelectColumns("text", "words", "chars").
Fit
(savedData).Transform(savedData);
495
var outdata = ML.Data.TakeRows(est.
Fit
(data).Transform(data), 4);
496
var savedData = ML.Transforms.SelectColumns("words").
Fit
(outdata).Transform(outdata);
545
savedData = ML.Transforms.SelectColumns("text", "NoDefaultStopwords", "NoStopWords").
Fit
(savedData).Transform(savedData);
606
savedData = ML.Transforms.SelectColumns("text", "bag_of_words", "bag_of_wordshash").
Fit
(savedData).Transform(savedData);
641
savedData = ML.Transforms.SelectColumns("text", "terms", "ngrams", "ngramshash").
Fit
(savedData).Transform(savedData);
700
savedData = ML.Transforms.SelectColumns("topics").
Fit
(savedData).Transform(savedData);
Transformers\TextNormalizer.cs (1)
84
var result = pipe.
Fit
(dataView).Transform(dataView);
Transformers\ValueMappingTests.cs (6)
67
var t = estimator.
Fit
(dataView);
196
var t = estimator.
Fit
(dataView);
237
var t = estimator.
Fit
(dataView);
278
var t = estimator.
Fit
(dataView);
319
var t = estimator.
Fit
(dataView);
781
IDataView transformedData = pipeline.
Fit
(data).Transform(data);
Transformers\WordEmbeddingsTests.cs (2)
52
savedData = ML.Transforms.SelectColumns("WordEmbeddings").
Fit
(savedData).Transform(savedData);
95
savedData = ML.Transforms.SelectColumns("WordEmbeddings", "CleanWords").
Fit
(savedData).Transform(savedData);
Transformers\WordTokenizeTests.cs (2)
66
var result = pipe.
Fit
(dataView).Transform(dataView);
104
var result = pipe.
Fit
(dataView).Transform(dataView);
Microsoft.ML.TimeSeries (2)
TimeSeriesProcessing.cs (2)
36
var view = new IidChangePointEstimator(h, options).
Fit
(options.Data).Transform(options.Data);
50
var view = new IidSpikeEstimator(h, options).
Fit
(options.Data).Transform(options.Data);
Microsoft.ML.TimeSeries.Tests (4)
TimeSeriesDirectApi.cs (2)
128
var detector = new IidChangePointEstimator(env, args).
Fit
(dataView);
566
var transformedData = ml.Transforms.DetectAnomalyBySrCnn(outputColumnName, inputColumnName, 16, 5, 5, 3, 8, 0.35).
Fit
(dataView).Transform(dataView);
TimeSeriesSimpleApiTests.cs (2)
55
var detector = learningPipeline.
Fit
(dataView);
139
var detector = learningPipeline.
Fit
(dataView);
Microsoft.ML.Transforms (3)
Text\TextFeaturizingEstimator.cs (2)
470
tparams.KeepNumbers, xfCols).
Fit
(view), ref view);
487
chain = AddToChainAndTransform(chain, new WordTokenizingEstimator(h, xfCols).
Fit
(view), ref view);
Text\WordHashBagProducingTransform.cs (1)
135
ITransformer t1 = new WordTokenizingEstimator(env, tokenizeColumns.ToArray()).
Fit
(view);
