Implemented interface member:
method
Fit
Microsoft.ML.IEstimator<TTransformer>.Fit(Microsoft.ML.IDataView)
68 references to Fit
Microsoft.ML.AutoML.Tests (1)
PurposeInferenceTests.cs (1)
34
data = normalizer.
Fit
(data).Transform(data);
Microsoft.ML.Data (7)
DataLoadSave\DataOperationsCatalog.cs (1)
584
data = new NormalizingEstimator(env, new NormalizingEstimator.MinMaxColumnOptions(splitColumnName, samplingKeyColumn, ensureZeroUntouched: false)).
Fit
(data).Transform(data);
Transforms\NormalizeColumn.cs (6)
301
return normalizer.
Fit
(input).MakeDataTransform(input);
321
return normalizer.
Fit
(input).MakeDataTransform(input);
339
return normalizer.
Fit
(input).MakeDataTransform(input);
359
return normalizer.
Fit
(input).MakeDataTransform(input);
380
return normalizer.
Fit
(input).MakeDataTransform(input);
402
return normalizer.
Fit
(input).MakeDataTransform(input);
Microsoft.ML.IntegrationTests (3)
ModelFiles.cs (3)
332
var model = pipeline.
Fit
(data);
428
var model = estimator.
Fit
(data);
460
var model = estimator.
Fit
(loader.Load(file));
Microsoft.ML.Samples (15)
Dynamic\Transforms\NormalizeBinning.cs (2)
45
var normalizeTransform = normalize.
Fit
(data);
47
var normalizeFixZeroTransform = normalizeFixZero.
Fit
(data);
Dynamic\Transforms\NormalizeBinningMulticolumn.cs (1)
46
var normalizeTransform = normalize.
Fit
(data);
Dynamic\Transforms\NormalizeLogMeanVariance.cs (2)
43
var normalizeTransform = normalize.
Fit
(data);
45
var normalizeNoCdfTransform = normalizeNoCdf.
Fit
(data);
Dynamic\Transforms\NormalizeLogMeanVarianceFixZero.cs (2)
36
var normalizeTransform = normalize.
Fit
(data);
38
var normalizeNoCdfTransform = normalizeNoCdf.
Fit
(data);
Dynamic\Transforms\NormalizeMeanVariance.cs (2)
42
var normalizeTransform = normalize.
Fit
(data);
44
var normalizeNoCdfTransform = normalizeNoCdf.
Fit
(data);
Dynamic\Transforms\NormalizeMinMax.cs (2)
41
var normalizeTransform = normalize.
Fit
(data);
43
var normalizeFixZeroTransform = normalizeFixZero.
Fit
(data);
Dynamic\Transforms\NormalizeMinMaxMulticolumn.cs (2)
65
var normalizeTransform = normalize.
Fit
(data);
67
var normalizeFixZeroTransform = normalizeFixZero.
Fit
(data);
Dynamic\Transforms\NormalizeSupervisedBinning.cs (2)
59
var normalizeTransform = normalize.
Fit
(data);
61
var normalizeFixZeroTransform = normalizeFixZero.
Fit
(data);
Microsoft.ML.Tests (42)
TrainerEstimators\OnlineLinearTests.cs (2)
27
var regressionTrainData = regressionPipe.
Fit
(regressionData).Transform(regressionData);
41
var binaryTrainData = binaryPipe.
Fit
(binaryData).Transform(binaryData);
Transformers\NormalizerTests.cs (40)
90
var transformedData = est.
Fit
(data).Transform(data);
139
var transformer = est.
Fit
(data);
395
var robustScalerTransformer = robustScalerEstimator.
Fit
(data);
435
robustScalerTransformer = robustScalerEstimator.
Fit
(data);
487
var data1 = est1.
Fit
(data).Transform(data);
488
var data2 = est2.
Fit
(data).Transform(data);
489
var data3 = est3.
Fit
(data).Transform(data);
490
var data4 = est4.
Fit
(data).Transform(data);
491
var data5 = est5.
Fit
(data).Transform(data);
507
var data6 = est6.
Fit
(data).Transform(data);
508
var data7 = est7.
Fit
(data).Transform(data);
509
var data8 = est8.
Fit
(data).Transform(data);
520
var data9 = est9.
Fit
(data).Transform(data);
521
var data10 = est10.
Fit
(data).Transform(data);
522
var data11 = est11.
Fit
(data).Transform(data);
533
var data12 = est12.
Fit
(data).Transform(data);
534
var data13 = est13.
Fit
(data).Transform(data);
535
var data14 = est14.
Fit
(data).Transform(data);
546
var data15 = est15.
Fit
(data).Transform(data);
547
var data16 = est16.
Fit
(data).Transform(data);
548
var data17 = est17.
Fit
(data).Transform(data);
559
var data18 = est18.
Fit
(data).Transform(data);
560
var data19 = est19.
Fit
(data).Transform(data);
561
var data20 = est20.
Fit
(data).Transform(data);
600
var data1 = est1.
Fit
(data).Transform(data);
601
var data2 = est2.
Fit
(data).Transform(data);
602
var data3 = est3.
Fit
(data).Transform(data);
603
var data4 = est4.
Fit
(data).Transform(data);
604
var data5 = est5.
Fit
(data).Transform(data);
605
var data6 = est6.
Fit
(data).Transform(data);
606
var data7 = est7.
Fit
(data).Transform(data);
607
var data8 = est8.
Fit
(data).Transform(data);
608
var data9 = est9.
Fit
(data).Transform(data);
609
var data10 = est10.
Fit
(data).Transform(data);
643
var t = est.
Fit
(data);
914
var normalizeTransform = normalize.
Fit
(data);
916
var normalizeNoCdfTransform = normalizeNoCdf.
Fit
(data);
955
var normalizeTransform = normalize.
Fit
(data);
957
var normalizeNoCdfTransform = normalizeNoCdf.
Fit
(data);
1055
var model = ML.Transforms.NormalizeMinMax("output", "input").
Fit
(data);
