219 references to Append
Microsoft.ML.AutoML (4)
Experiment\SuggestedPipeline.cs (3)
123
pipeline = pipeline.
Append
(transform.Estimator);
141
pipeline = pipeline.
Append
(learner);
148
pipeline = pipeline.
Append
(transform.Estimator);
Experiment\SuggestedPipelineRunDetails\SuggestedPipelineRunDetailUtil.cs (1)
15
return preFeaturizer.
Append
(estimator);
Microsoft.ML.Fairlearn.Tests (1)
GridSearchTest.cs (1)
96
.
Append
(context.Transforms.Concatenate("Features", "sensitiveFeature_encode", "score_feature"))
Microsoft.ML.IntegrationTests (19)
Datasets\Iris.cs (1)
56
.
Append
(mlContext.Transforms.Conversion.MapValueToKey("GroupId"));
Datasets\TrivialMatrixFactorization.cs (1)
31
.
Append
(mlContext.Transforms.Conversion.MapValueToKey("MatrixRowIndex"));
DataTransformation.cs (2)
176
.
Append
(mlContext.Transforms.NormalizeMinMax("Features"));
203
.
Append
(mlContext.Transforms.Conversion.Hash(new[] {
Evaluation.cs (1)
152
.
Append
(mlContext.Transforms.Conversion.MapValueToKey("Label"))
IntrospectiveTraining.cs (4)
185
.
Append
(mlContext.Transforms.Text.LatentDirichletAllocation("Features", "SentimentBag",
265
.
Append
(mlContext.Transforms.NormalizeMinMax("Features"));
338
.
Append
(mlContext.Transforms.Concatenate("CategoricalFeatures", Adult.CategoricalFeatures))
395
.
Append
(StepOne(mlContext))
ONNX.cs (3)
41
.
Append
(mlContext.Transforms.NormalizeMinMax("Features"))
91
.
Append
(mlContext.Transforms.NormalizeMinMax("Features"))
143
.
Append
(mlContext.Transforms.NormalizeMinMax("Features"))
SchemaDefinitionTests.cs (3)
37
.
Append
(_ml.Transforms.Concatenate("Features", "Cat", "NumericFeatures"));
41
.
Append
(_ml.Transforms.Concatenate("Features", "Cat", "NumericFeatures"));
67
.
Append
(_ml.Transforms.Categorical.OneHotEncoding("Workclass"))
Training.cs (3)
267
.
Append
(mlContext.Transforms.Conversion.MapValueToKey("Label"))
318
.
Append
(mlContext.Transforms.NormalizeMinMax("Features"))
362
.
Append
(mlContext.Transforms.NormalizeMinMax("Features"))
Validation.cs (1)
68
var dataProcessPipeline = mlContext.Transforms.Concatenate("Features", new[] { "FeatureVectorA", "FeatureVectorB" }).
Append
(
Microsoft.ML.OnnxTransformerTest (6)
DnnImageFeaturizerTest.cs (2)
110
.
Append
(ML.Transforms.ResizeImages("data_0", imageHeight, imageWidth))
222
.
Append
(ML.Transforms.LoadImages("ImagePath_featurized", imageFolder, "ImagePath"))
OnnxTransformTests.cs (4)
255
.
Append
(ML.Transforms.ResizeImages("data_0", imageHeight, imageWidth))
306
.
Append
(ML.Transforms.ResizeImages("data_0", imageHeight, imageWidth))
644
.
Append
(ML.Transforms.ApplyOnnxModel("softmaxout_1", "data_0", modelFile, gpuDeviceId: _gpuDeviceId, fallbackToCpu: _fallbackToCpu)); // Map column "data_0" to column "softmaxout_1"
1135
.
Append
(ML.Transforms.ResizeImages("data_0", imageHeight, imageWidth))
Microsoft.ML.PerformanceTests (6)
FeaturizeTextBench.cs (1)
77
pipeline = pipeline.
Append
(featurizer);
ImageClassificationBench.cs (1)
62
.
Append
(_mlContext.Transforms.LoadRawImageBytes("Image",
KMeansAndLogisticRegressionBench.cs (1)
37
.
Append
(ml.Transforms.NormalizeMinMax("NumFeatures"))
PredictionEngineBench.cs (1)
58
.
Append
(env.Transforms.Conversion.MapValueToKey("Label"))
StochasticDualCoordinateAscentClassifierBench.cs (2)
79
.
Append
(_mlContext.Transforms.Conversion.MapValueToKey("Label"))
114
.
Append
(_mlContext.Transforms.Conversion.MapValueToKey("Label"))
Microsoft.ML.Samples (41)
Dynamic\ModelOperations\OnnxConversion.cs (1)
51
.
Append
(mlContext.Transforms.Categorical.OneHotEncoding("workclass"))
Dynamic\NgramExtraction.cs (2)
53
.
Append
(ngramOnePipeline);
56
.
Append
(ngramTwpPipeline);
Dynamic\TensorFlow\TextClassification.cs (1)
103
.
Append
(mlContext.Transforms.Conversion.MapValue(
Dynamic\Trainers\BinaryClassification\PermutationFeatureImportance.cs (1)
29
.
Append
(mlContext.Transforms.NormalizeMinMax("Features"))
Dynamic\Trainers\BinaryClassification\PermutationFeatureImportanceLoadFromDisk.cs (1)
25
.
Append
(mlContext.Transforms.NormalizeMinMax("Features"))
Dynamic\Trainers\MulticlassClassification\ImageClassification\ImageClassificationDefault.cs (1)
52
.
Append
(mlContext.Transforms.LoadRawImageBytes("Image",
Dynamic\Trainers\MulticlassClassification\ImageClassification\LearningRateSchedulingCifarResnetTransferLearning.cs (2)
56
.
Append
(mlContext.Transforms.LoadRawImageBytes("Image",
72
.
Append
(mlContext.Transforms.LoadRawImageBytes("Image",
Dynamic\Trainers\MulticlassClassification\ImageClassification\ResnetV2101TransferLearningEarlyStopping.cs (1)
51
.
Append
(mlContext.Transforms.LoadRawImageBytes("Image",
Dynamic\Trainers\MulticlassClassification\ImageClassification\ResnetV2101TransferLearningTrainTestSplit.cs (1)
51
.
Append
(mlContext.Transforms.LoadRawImageBytes("Image",
Dynamic\Trainers\MulticlassClassification\PermutationFeatureImportance.cs (1)
30
.
Append
(mlContext.Transforms.Conversion.MapValueToKey("Label"))
Dynamic\Trainers\MulticlassClassification\PermutationFeatureImportanceLoadFromDisk.cs (1)
33
.
Append
(mlContext.Transforms.Conversion.MapValueToKey("Label"))
Dynamic\Trainers\Ranking\PermutationFeatureImportance.cs (1)
29
.
Append
(mlContext.Transforms.Conversion.MapValueToKey("Label"))
Dynamic\Trainers\Ranking\PermutationFeatureImportanceLoadFromDisk.cs (1)
31
.
Append
(mlContext.Transforms.Conversion.MapValueToKey("Label"))
Dynamic\Trainers\Regression\PermutationFeatureImportance.cs (1)
31
.
Append
(mlContext.Transforms.NormalizeMinMax("Features"))
Dynamic\Trainers\Regression\PermutationFeatureImportanceLoadFromDisk.cs (1)
33
.
Append
(mlContext.Transforms.NormalizeMinMax("Features"))
Dynamic\Transforms\ApplyONNXModelWithInMemoryImages.cs (1)
46
.
Append
(mlContext.Transforms.ApplyOnnxModel("softmaxout_1",
Dynamic\Transforms\CalculateFeatureContribution.cs (1)
27
.
Append
(mlContext.Transforms.NormalizeMeanVariance("Features"));
Dynamic\Transforms\CalculateFeatureContributionCalibrated.cs (1)
27
.
Append
(mlContext.Transforms.NormalizeMeanVariance("Features"));
Dynamic\Transforms\Concatenate.cs (1)
51
.
Append
(mlContext.Transforms.Concatenate("Features", new[]
Dynamic\Transforms\Conversion\Hash.cs (1)
45
.
Append
(mlContext.Transforms.Conversion.Hash("AgeHashed", "Age",
Dynamic\Transforms\Conversion\KeyToValueToKey.cs (2)
31
"TokenizedText", nameof(DataPoint.Review)).
Append
(mlContext
42
"TokenizedText", nameof(DataPoint.Review)).
Append
(mlContext
Dynamic\Transforms\Conversion\MapKeyToVector.cs (1)
44
.
Append
(mlContext.Transforms.Concatenate("Parts", "PartA", "PartB"))
Dynamic\Transforms\Conversion\MapValue.cs (1)
57
"TimeframeCategory", timeframeMap, "Timeframe").
Append
(mlContext.
Dynamic\Transforms\Expression.cs (1)
34
.
Append
(mlContext.Transforms.Expression("Expr2", "(b,s,i)=>b ? len(s) : i",
Dynamic\Transforms\FeatureSelection\SelectFeaturesBasedOnCount.cs (1)
40
.
Append
(mlContext.Transforms.FeatureSelection
Dynamic\Transforms\ImageAnalytics\ConvertToGrayScale.cs (1)
47
.
Append
(mlContext.Transforms.ConvertToGrayscale("Grayscale",
Dynamic\Transforms\ImageAnalytics\ConvertToImage.cs (1)
34
.
Append
(mlContext.Transforms.ExtractPixels("Pixels", "Image"));
Dynamic\Transforms\ImageAnalytics\DnnFeaturizeImage.cs (1)
49
.
Append
(mlContext.Transforms.ResizeImages("ImageObject", imageWidth:
Dynamic\Transforms\ImageAnalytics\ExtractPixels.cs (1)
49
.
Append
(mlContext.Transforms.ResizeImages("ImageObjectResized",
Dynamic\Transforms\ImageAnalytics\ResizeImages.cs (1)
46
.
Append
(mlContext.Transforms.ResizeImages("ImageObjectResized",
Dynamic\Transforms\Text\ApplyCustomWordEmbedding.cs (1)
48
.
Append
(mlContext.Transforms.Text.TokenizeIntoWords("Tokens",
Dynamic\Transforms\Text\ApplyWordEmbedding.cs (1)
37
.
Append
(mlContext.Transforms.Text.TokenizeIntoWords("Tokens",
Dynamic\Transforms\Text\LatentDirichletAllocation.cs (1)
42
.
Append
(mlContext.Transforms.Text.TokenizeIntoWords("Tokens",
Dynamic\Transforms\Text\ProduceHashedNgrams.cs (1)
47
.
Append
(mlContext.Transforms.Conversion.MapValueToKey("Tokens"))
Dynamic\Transforms\Text\ProduceNgrams.cs (1)
56
.
Append
(mlContext.Transforms.Conversion.MapValueToKey("Tokens"))
Dynamic\Transforms\Text\RemoveDefaultStopWords.cs (1)
32
.
Append
(mlContext.Transforms.Text.RemoveDefaultStopWords(
Dynamic\Transforms\Text\RemoveStopWords.cs (1)
31
.
Append
(mlContext.Transforms.Text.RemoveStopWords(
Dynamic\Transforms\Text\TokenizeIntoCharactersAsKeys.cs (1)
31
.
Append
(mlContext.Transforms.Conversion.MapKeyToValue(
Microsoft.ML.Samples.GPU (6)
parent\6a273e5f1a281752\LearningRateSchedulingCifarResnetTransferLearning.cs (2)
56
.
Append
(mlContext.Transforms.LoadRawImageBytes("Image",
72
.
Append
(mlContext.Transforms.LoadRawImageBytes("Image",
parent\Microsoft.ML.Samples\Dynamic\TensorFlow\TextClassification.cs (1)
103
.
Append
(mlContext.Transforms.Conversion.MapValue(
parent\Microsoft.ML.Samples\Dynamic\Trainers\MulticlassClassification\ImageClassification\ImageClassificationDefault.cs (1)
52
.
Append
(mlContext.Transforms.LoadRawImageBytes("Image",
parent\Microsoft.ML.Samples\Dynamic\Trainers\MulticlassClassification\ImageClassification\ResnetV2101TransferLearningEarlyStopping.cs (1)
51
.
Append
(mlContext.Transforms.LoadRawImageBytes("Image",
parent\Microsoft.ML.Samples\Dynamic\Trainers\MulticlassClassification\ImageClassification\ResnetV2101TransferLearningTrainTestSplit.cs (1)
51
.
Append
(mlContext.Transforms.LoadRawImageBytes("Image",
Microsoft.ML.SamplesUtils (1)
SamplesDatasetUtils.cs (1)
93
.
Append
(mlContext.Transforms.Categorical.OneHotEncoding("workclass"))
Microsoft.ML.TensorFlow.Tests (14)
TensorFlowEstimatorTests.cs (4)
163
.
Append
(ML.Transforms.ResizeImages("Input", imageHeight, imageWidth))
206
.
Append
(ML.Transforms.ResizeImages("Input", imageHeight, imageWidth))
221
.
Append
(ML.Transforms.ResizeImages("Input", imageHeight, imageWidth))
258
.
Append
(ML.Transforms.ResizeImages("Input", imageHeight, imageWidth))
TensorflowTests.cs (10)
134
.
Append
(new ImageResizingEstimator(_mlContext, "ImageCropped", imageHeight, imageWidth, "ImageReal"))
654
.
Append
(_mlContext.Model.LoadTensorFlowModel("mnist_model/frozen_saved_model.pb").ScoreTensorFlowModel(new[] { "Softmax", "dense/Relu" }, new[] { "Placeholder", "reshape_input" }))
878
.
Append
(_mlContext.Model.LoadTensorFlowModel("mnist_model").ScoreTensorFlowModel(new[] { "Softmax", "dense/Relu" }, new[] { "Placeholder", "reshape_input" }))
1006
.
Append
(new ImageResizingEstimator(_mlContext, "ImageCropped",
1102
.
Append
(_mlContext.Transforms.ExtractPixels("Input", "ResizedImage", interleavePixelColors: true))
1144
.
Append
(new ImageResizingEstimator(_mlContext, "ImageCropped", imageHeight, imageWidth, "ImageReal"))
1277
.
Append
(_mlContext.Transforms.CopyColumns("Prediction", "Prediction/Softmax"))
1338
.
Append
(_mlContext.Transforms.CopyColumns(new[] { new InputOutputColumnPair("AOut", "Original_A"), new InputOutputColumnPair("BOut", "Joined_Splited_Text") }));
1846
.
Append
(_mlContext.Transforms.LoadRawImageBytes("Image", fullImagesetFolderPath, "ImagePath"))
2037
.
Append
(_mlContext.Transforms.ResizeImages("Input", imageHeight, imageWidth))
Microsoft.ML.Tests (105)
CachingTests.cs (1)
46
.
Append
(ML.Transforms.NormalizeMinMax("Norm1", "F1"))
CalibratedModelParametersTests.cs (1)
134
.
Append
(ML.Transforms.NormalizeMinMax("Features"));
DatabaseLoaderTests.cs (5)
129
.
Append
(mlContext.Transforms.Concatenate("Features", "SepalLength", "SepalWidth", "PetalLength", "PetalWidth"))
165
.
Append
(mlContext.Transforms.Concatenate("Features", "SepalLength", "SepalWidth", "PetalLength", "PetalWidth"))
201
.
Append
(mlContext.Transforms.Concatenate("Features", "SepalInfo", "PetalInfo"))
233
.
Append
(mlContext.Transforms.Concatenate("Features", "SepalInfo", "PetalInfo"))
265
.
Append
(mlContext.Transforms.Concatenate("Features", "SepalLength", "SepalWidth", "PetalLength", "PetalWidth"))
FeatureContributionTests.cs (5)
34
.
Append
(ML.Transforms.CalculateFeatureContribution(model, normalize: false))
202
.
Append
(ML.Transforms.CalculateFeatureContribution(model, numberOfPositiveContributions: 0, numberOfNegativeContributions: 3))
226
.
Append
(ML.Transforms.CalculateFeatureContribution(model, numberOfPositiveContributions: 0, numberOfNegativeContributions: 3))
315
.
Append
(ML.Transforms.NormalizeMinMax("Features"));
425
.
Append
(ML.Transforms.Categorical.OneHotEncoding(outputColumnName: vendorIdEncoded, inputColumnName: nameof(TaxiTrip.VendorId)))
ImagesTests.cs (3)
51
.
Append
(new ImageResizingEstimator(env, "ImageReal", 100, 100, "ImageReal"))
75
.
Append
(new ImageResizingEstimator(env, "ImageReal", 100, 100, "ImageReal"))
1022
.
Append
(new ImageResizingEstimator(env, "ImageReal", targetDimension, targetDimension, "ImageReal",
OnnxConversionTest.cs (21)
246
Append
(mlContext.Transforms.NormalizeMinMax("Features"));
268
.
Append
(new VectorWhiteningEstimator(mlContext, "whitened2", "features", kind: WhiteningKind.PrincipalComponentAnalysis, rank: 5));
301
Append
(ML.Transforms.NormalizeMinMax("Features"));
390
var pipeline = new TextNormalizingEstimator(mlContext, keepDiacritics: true, columns: new[] { ("NormText", "text") }).
Append
(
629
Append
(mlContext.Transforms.NormalizeMinMax("Features")).
793
.
Append
(mlContext.Transforms.ReplaceMissingValues(new MissingValueReplacingEstimator.ColumnOptions("F2")))
1168
.
Append
(mlContext.Transforms.Conversion.ConvertType("MissingIndicator", outputKind: DataKind.Int32));
1411
Append
(mlContext.Transforms.Conversion.MapKeyToValue("Value", "Key")),
1414
Append
(mlContext.Transforms.Conversion.MapKeyToValue("Value"))
1479
.
Append
(mlContext.Transforms.Conversion.MapValueToKey("Tokens"))
1486
.
Append
(mlContext.Transforms.Text.ProduceNgrams("NGrams", "Tokens",
1497
.
Append
(mlContext.Transforms.Text.ProduceWordBags("Tokens", "Tokens0"))
1542
.
Append
(mlContext.Transforms.Text.RemoveStopWords(
1566
.
Append
(mlContext.Transforms.Text.RemoveDefaultStopWords(
1681
.
Append
(mlContext.Transforms.NormalizeMinMax("Features"))
1857
Append
(mlContext.Transforms.FeatureSelection.SelectFeaturesBasedOnCount("ScalarOutput", "Scalar", count: 100)),
1861
Append
(mlContext.Transforms.FeatureSelection.SelectFeaturesBasedOnCount("ScalarOutput", "Scalar", count: 800)),
1864
Append
(mlContext.Transforms.FeatureSelection.SelectFeaturesBasedOnMutualInformation("ScalarOutput", "Scalar"))
1898
var pipeline = mlContext.Transforms.ReplaceMissingValues("Size").
Append
(mlContext.Transforms.SelectColumns(new[] { "Size", "Shape", "Thickness", "Label" }));
1957
Append
(mlContext.Transforms.NormalizeMinMax("MyFeatureVector"));
2006
.
Append
(mlContext.Transforms.NormalizeMinMax("MyFeatureVector"))
PermutationFeatureImportanceTests.cs (2)
859
.
Append
(ML.Transforms.NormalizeMinMax("Features"));
939
.
Append
(ML.Transforms.NormalizeMinMax("Features"));
Scenarios\Api\CookbookSamples\CookbookSamplesDynamicApi.cs (4)
232
.
Append
(mlContext.Transforms.Conversion.MapValueToKey("Label"), TransformerScope.TrainTest)
524
.
Append
(mlContext.Transforms.Text.NormalizeText("NormalizedMessage", "Message"))
597
.
Append
(mlContext.Transforms.Categorical.OneHotEncoding("CategoricalBag", "CategoricalFeatures", OneHotEncodingEstimator.OutputKind.Bag))
646
.
Append
(mlContext.Transforms.Conversion.MapValueToKey("Label"), TransformerScope.TrainTest)
Scenarios\Api\Estimators\DecomposableTrainAndPredict.cs (1)
34
.
Append
(new ValueToKeyMappingEstimator(ml, "Label"), TransformerScope.TrainTest)
Scenarios\Api\Estimators\Extensibility.cs (1)
42
.
Append
(new CustomMappingEstimator<IrisData, IrisData>(ml, action, null), TransformerScope.TrainTest)
Scenarios\Api\Estimators\PredictAndMetadata.cs (2)
32
.
Append
(ml.Transforms.Conversion.MapValueToKey("Label"), TransformerScope.TrainTest)
81
.
Append
(mlContext.Transforms.Conversion.MapValueToKey("Label"))
Scenarios\IrisPlantClassificationTests.cs (1)
33
.
Append
(mlContext.Transforms.NormalizeMinMax("Features"))
Scenarios\IrisPlantClassificationWithStringLabelTests.cs (1)
37
.
Append
(mlContext.Transforms.NormalizeMinMax("Features"))
Scenarios\RegressionTest.cs (1)
28
.
Append
(context.Transforms.Categorical.OneHotEncoding(outputColumnName: "VendorIdEncoded", inputColumnName: "VendorId"))
Scenarios\WordBagTest.cs (2)
33
ngramLength: 3, useAllLengths: false, weighting: NgramExtractingEstimator.WeightingCriteria.Tf).
Append
(
69
mlContext.Transforms.Text.ProduceHashedWordBags("Text", "Text", ngramLength: 3, useAllLengths: false).
Append
(
ScenariosWithDirectInstantiation\IrisPlantClassificationTests.cs (1)
31
.
Append
(mlContext.Transforms.NormalizeMinMax("Features"))
TrainerEstimators\MetalinearEstimators.cs (1)
98
.
Append
(new ValueToKeyMappingEstimator(Env, "Label"))
TrainerEstimators\TrainerEstimators.cs (1)
218
var oneHotPipeline = pipeline.
Append
(ML.Transforms.Categorical.OneHotEncoding("LoggedIn"));
TrainerEstimators\TreeEnsembleFeaturizerTest.cs (13)
331
.
Append
(ML.Transforms.Concatenate("CombinedFeatures", "Features", "Trees", "Leaves", "Paths"))
377
.
Append
(ML.Transforms.Concatenate("CombinedFeatures", "Features", "Trees", "Leaves", "Paths"))
416
.
Append
(ML.Transforms.Concatenate("CombinedFeatures", "Features", "Trees", "Leaves", "Paths"))
455
.
Append
(ML.Transforms.Concatenate("CombinedFeatures", "Features", "Trees", "Leaves", "Paths"))
493
.
Append
(ML.Transforms.Concatenate("CombinedFeatures", "Features", "Trees", "Leaves", "Paths"))
531
.
Append
(ML.Transforms.Concatenate("CombinedFeatures", "Features", "Trees", "Leaves", "Paths"))
569
.
Append
(ML.Transforms.Concatenate("CombinedFeatures", "Features", "Trees", "Leaves", "Paths"))
607
.
Append
(ML.Transforms.Concatenate("CombinedFeatures", "Features", "Trees", "Leaves", "Paths"))
663
.
Append
(ML.Transforms.FeaturizeByFastForestRegression(options))
694
.
Append
(ML.Transforms.NormalizeBinning("CopiedFeatures"))
740
.
Append
(ML.Transforms.Concatenate("CombinedFeatures", "Features", "Trees", "Leaves", "Paths"))
751
.
Append
(ML.Transforms.Concatenate("CombinedFeatures", "Features", "Leaves"))
804
.
Append
(ML.Transforms.CustomMapping(actionConvertKeyToFloat, "KeyLabel"))
Transformers\CategoricalHashTests.cs (1)
90
.
Append
(ML.Transforms.Categorical.OneHotHashEncoding("A", "ScalarString", outputKind: OneHotEncodingEstimator.OutputKind.Indicator))
Transformers\CategoricalTests.cs (2)
110
.
Append
(mlContext.Transforms.Conversion.ConvertType("B", outputKind: DataKind.Single))
165
.
Append
(ML.Transforms.Categorical.OneHotEncoding("A", "ScalarString", outputKind: OneHotEncodingEstimator.OutputKind.Indicator))
Transformers\ConcatTests.cs (1)
66
.
Append
(ML.Transforms.Concatenate("f2", "float1", "float1"))
Transformers\ConvertTests.cs (1)
341
}).
Append
(ML.Transforms.Conversion.ConvertType(new[] {
Transformers\ExpressionTransformerTests.cs (1)
41
Append
(ML.Transforms.Expression("Expr2", "(x,y)=>(x+y)/3", "Float", "FloatVector")).
Transformers\FeatureSelectionTests.cs (6)
44
.
Append
(ML.Transforms.FeatureSelection.SelectFeaturesBasedOnMutualInformation("bag_of_words_mi", "bag_of_words", labelColumnName: "label")));
121
.
Append
(ML.Transforms.FeatureSelection.SelectFeaturesBasedOnCount(columns));
178
.
Append
(ML.Transforms.FeatureSelection.SelectFeaturesBasedOnMutualInformation(labelColumnName: "Label", slotsInOutput: 2, numberOfBins: 100,
239
.
Append
(ML.Transforms.FeatureSelection.SelectFeaturesBasedOnCount("Features"));
247
.
Append
(ML.Transforms.FeatureSelection.SelectFeaturesBasedOnMutualInformation("Features", labelColumnName: "BadLabel"));
255
.
Append
(ML.Transforms.FeatureSelection.SelectFeaturesBasedOnMutualInformation("Features"));
Transformers\HashTests.cs (1)
384
.
Append
(ML.Transforms.Conversion.Hash(
Transformers\KeyToBinaryVectorEstimatorTest.cs (1)
75
.
Append
(ML.Transforms.Conversion.MapKeyToBinaryVector("VectorString", "B"));
Transformers\KeyToValueTests.cs (1)
79
.
Append
(ML.Transforms.Conversion.MapKeyToValue("VectorString", "B"));
Transformers\KeyToVectorEstimatorTests.cs (2)
84
.
Append
(ML.Transforms.Conversion.MapKeyToVector("VectorString", "B"))
257
.
Append
(mlContext.Transforms.Categorical.OneHotHashEncoding("ProblematicColumn"));
Transformers\NAIndicatorTests.cs (1)
139
var newpipe = pipe.
Append
(ML.Transforms.IndicateMissingValues("NAA", "CatA"));
Transformers\NAReplaceTests.cs (1)
136
.
Append
(ML.Transforms.ReplaceMissingValues("B", "ScalarDouble", replacementMode: MissingValueReplacingEstimator.ReplacementMode.Mean))
Transformers\NormalizerTests.cs (5)
241
.
Append
(context.Transforms.NormalizeBinning(
667
.
Append
(ML.Transforms.NormalizeGlobalContrast("gcnorm", "features"))
702
.
Append
(new VectorWhiteningEstimator(ML, "whitened2", "features", kind: WhiteningKind.PrincipalComponentAnalysis, rank: 5));
765
.
Append
(ML.Transforms.NormalizeLpNorm("lpNorm2", "features", norm: LpNormNormalizingEstimatorBase.NormFunction.L1, ensureZeroMean: true));
825
.
Append
(ML.Transforms.NormalizeGlobalContrast("gcnNorm2", "features", ensureZeroMean: false, ensureUnitStandardDeviation: true, scale: 3));
Transformers\SelectColumnsTests.cs (3)
134
var chain = est.
Append
(ColumnSelectingEstimator.KeepColumns(Env, "C", "A"));
157
var chain = est.
Append
(ML.Transforms.SelectColumns(new[] { "B", "A" }, true));
198
var est = new ColumnCopyingEstimator(Env, new[] { ("A", "A"), ("B", "B") }).
Append
(
Transformers\TextFeaturizerTests.cs (5)
470
.
Append
(new TokenizingByCharactersEstimator(ML, "chars", "text"))
537
.
Append
(ML.Transforms.Text.TokenizeIntoWords("words", "text"))
600
Append
(new WordHashBagEstimator(ML, "bag_of_wordshash", "text", maximumNumberOfInverts: -1));
630
.
Append
(new ValueToKeyMappingEstimator(ML, "terms", "text"))
684
Append
(new LatentDirichletAllocationEstimator(env, "topics", "bag_of_words", 10, maximumNumberOfIterations: 10,
Transformers\TextNormalizer.cs (1)
56
var pipeVariations = new TextNormalizingEstimator(ML, columns: new[] { ("NormText", "text") }).
Append
(
Transformers\ValueMappingTests.cs (3)
107
}).
Append
(valueMappingEstimator);
559
Append
(ML.Transforms.Conversion.MapKeyToValue("DOutput", "D"));
641
.
Append
(ML.Transforms.Conversion.MapValue("VecB", keyValuePairs, "TokenizeB"));
Transformers\WordEmbeddingsTests.cs (2)
42
.
Append
(ML.Transforms.Text.TokenizeIntoWords("Words", "NormalizedText"))
77
.
Append
(ML.Transforms.Text.TokenizeIntoWords("Words", "NormalizedText"))
Microsoft.ML.TimeSeries.Tests (3)
TimeSeriesDirectApi.cs (3)
228
.
Append
(new SsaChangePointEstimator(ml, new SsaChangePointDetector.Options()
304
.
Append
(ml.Transforms.Conversion.ConvertType("Value", "Value", DataKind.Single))
450
.
Append
(ml.Transforms.Conversion.ConvertType("Value", "Value", DataKind.Single))
Microsoft.ML.TorchSharp.Tests (4)
ObjectDetectionTests.cs (1)
64
.
Append
(ML.Transforms.Conversion.MapValueToKey("Labels"))
TextClassificationTests.cs (3)
178
.
Append
(mlContext.MulticlassClassification.Trainers.TextClassification(sentence1ColumnName: "Title", sentence2ColumnName: "Description", maxEpochs: 10, batchSize: 8))
236
.
Append
(ML.MulticlassClassification.Trainers.TextClassification(outputColumnName: "outputColumn"))
321
.
Append
(ML.Transforms.Conversion.MapKeyToValue("outputColumn"));
Microsoft.ML.Transforms (9)
OneHotEncoding.cs (3)
130
_transformer = term.
Append
(toVector).Fit(input);
314
_toSomething = toVector.
Append
(toBinVector);
331
return _term.
Append
(_toSomething).GetOutputSchema(inputSchema);
OneHotHashEncoding.cs (3)
172
_transformer = hash.
Append
(keyToVector).Fit(input);
364
_toSomething = toVector.
Append
(toBinVector);
382
return _hash.
Append
(_toSomething).GetOutputSchema(inputSchema);
Text\WordBagTransform.cs (3)
166
estimator = estimator.
Append
(new TextExpandingEstimator(h, tokenizeColumns[0].InputColumnName, options.FreqSeparator, options.TermSeparator));
168
estimator = estimator.
Append
(new WordTokenizingEstimator(h, tokenizeColumns));
169
estimator = estimator.
Append
(NgramExtractorTransform.CreateEstimator(h, extractorArgs, estimator.GetOutputSchema(inputSchema)));