140 references to Predict
Microsoft.Extensions.ML (1)
PredictionEnginePoolExtensions.cs (1)
48
return predictionEngine.
Predict
(example);
Microsoft.Extensions.ML.Tests (5)
FileLoaderTests.cs (1)
54
var prediction = engine.
Predict
(new SentimentData() { SentimentText = "This is great" });
PredictionEnginePoolTests.cs (4)
52
Assert.NotNull(inFlight.
Predict
(new SentimentData { SentimentText = "great" }));
57
Assert.NotNull(afterSwap.
Predict
(new SentimentData { SentimentText = "terrible" }));
64
Assert.NotNull(reused.
Predict
(new SentimentData { SentimentText = "fine" }));
106
Assert.NotNull(afterOverflow.
Predict
(new SentimentData { SentimentText = "still works" }));
Microsoft.ML.AutoML.Samples (7)
AutoFit\BinaryClassificationExperiment.cs (1)
55
var prediction = predictionEngine.
Predict
(testSentimentIssue);
AutoFit\MulticlassClassificationExperiment.cs (1)
56
var prediction = predictionEngine.
Predict
(testPixelData);
AutoFit\RankingExperiment.cs (2)
65
var prediction = predictionEngine.
Predict
(testPage);
75
prediction = predictionEngine.
Predict
(testPage);
AutoFit\RecommendationExperiment.cs (2)
68
var prediction = predictionEngine.
Predict
(testMovie);
77
prediction = predictionEngine.
Predict
(testMovie);
AutoFit\RegressionExperiment.cs (1)
61
var prediction = predictionEngine.
Predict
(testTaxiTrip);
Microsoft.ML.Core.Tests (2)
UnitTests\TestCustomTypeRegister.cs (2)
207
var superAlien = engine.
Predict
(alien);
230
var superAlien = engine.
Predict
(alien);
Microsoft.ML.IntegrationTests (16)
ModelFiles.cs (4)
122
var originalPrediction = originalPredictionEngine.
Predict
(row);
123
var serializedPrediction = serializedPredictionEngine.
Predict
(row);
252
var prediction = model.
Predict
(modelInput);
256
var prediction2 = model2.
Predict
(modelInput);
ONNX.cs (6)
71
var originalPrediction = originalPredictionEngine.
Predict
(row);
72
var onnxPrediction = onnxPredictionEngine.
Predict
(row);
123
var originalPrediction = originalPredictionEngine.
Predict
(row);
124
var onnxPrediction = onnxPredictionEngine.
Predict
(row);
170
var originalPrediction = originalPredictionEngine.
Predict
(row);
171
var onnxPrediction = onnxPredictionEngine.
Predict
(row);
Prediction.cs (4)
58
var pr = engine.
Predict
(new TweetSentiment() { SentimentText = "Good Bad job" });
71
pr = newEngine.
Predict
(new TweetSentiment() { SentimentText = "Good Bad job" });
90
var pr = engine.
Predict
(randomDataPoint);
95
pr = newEngine.
Predict
(randomDataPoint);
SchemaDefinitionTests.cs (2)
52
var prediction = engine1.
Predict
(new InputData() { Workclass = "Self-emp-not-inc", NumericFeatures = new float[6] });
55
prediction = engine2.
Predict
(new InputData() { Workclass = "Self-emp-not-inc", NumericFeatures = new float[6] });
Microsoft.ML.OnnxTransformerTest (1)
DnnImageFeaturizerTest.cs (1)
242
ModelOutput result = predEngine.
Predict
(sample);
Microsoft.ML.PerformanceTests (5)
PredictionEngineBench.cs (3)
141
_irisModel.
Predict
(_irisExample);
150
_sentimentModel.
Predict
(_sentimentExample);
159
_breastCancerModel.
Predict
(_breastCancerExample);
StochasticDualCoordinateAscentClassifierBench.cs (2)
128
_consumer.Consume(_predictionEngine.
Predict
(_example));
163
public float[] PredictIris() => _predictionEngine.
Predict
(_example).PredictedLabels;
Microsoft.ML.Samples (27)
Dynamic\ModelOperations\SaveLoadModel.cs (1)
42
var transformation = engine.
Predict
(new Data() { Value = "abc" });
Dynamic\ModelOperations\SaveLoadModelFile.cs (1)
41
var transformation = engine.
Predict
(new Data() { Value = "abc" });
Dynamic\TensorFlow\TextClassification.cs (1)
123
var prediction = engine.
Predict
(data[0]);
Dynamic\Trainers\BinaryClassification\FieldAwareFactorizationMachine.cs (1)
86
var result = engine.
Predict
(dataPoint);
Dynamic\Trainers\BinaryClassification\FieldAwareFactorizationMachineWithOptions.cs (1)
97
var result = engine.
Predict
(dataPoint);
Dynamic\Trainers\MulticlassClassification\ImageClassification\ImageClassificationDefault.cs (1)
145
var prediction = predictionEngine.
Predict
(imageToPredict);
Dynamic\Trainers\MulticlassClassification\ImageClassification\LearningRateSchedulingCifarResnetTransferLearning.cs (1)
171
var prediction = predictionEngine.
Predict
(imageToPredict);
Dynamic\Trainers\MulticlassClassification\ImageClassification\ResnetV2101TransferLearningEarlyStopping.cs (1)
166
var prediction = predictionEngine.
Predict
(imageToPredict);
Dynamic\Trainers\MulticlassClassification\ImageClassification\ResnetV2101TransferLearningTrainTestSplit.cs (1)
154
var prediction = predictionEngine.
Predict
(imageToPredict);
Dynamic\Transforms\CalculateFeatureContribution.cs (1)
66
var prediction = predictionEngine.
Predict
(samples.First());
Dynamic\Transforms\CalculateFeatureContributionCalibrated.cs (1)
68
var prediction = predictionEngine.
Predict
(samples.First());
Dynamic\Transforms\CustomMappingWithInMemoryCustomType.cs (1)
53
var superAlien = engine.
Predict
(alien);
Dynamic\Transforms\Text\ApplyCustomWordEmbedding.cs (1)
67
var prediction = predictionEngine.
Predict
(data);
Dynamic\Transforms\Text\ApplyWordEmbedding.cs (1)
57
var prediction = predictionEngine.
Predict
(data);
Dynamic\Transforms\Text\FeaturizeText.cs (1)
65
var prediction = predictionEngine.
Predict
(samples[0]);
Dynamic\Transforms\Text\FeaturizeTextWithOptions.cs (1)
83
var prediction = predictionEngine.
Predict
(samples[0]);
Dynamic\Transforms\Text\LatentDirichletAllocation.cs (2)
59
PrintLdaFeatures(predictionEngine.
Predict
(samples[0]));
60
PrintLdaFeatures(predictionEngine.
Predict
(samples[1]));
Dynamic\Transforms\Text\NormalizeText.cs (1)
48
var prediction = predictionEngine.
Predict
(data);
Dynamic\Transforms\Text\ProduceHashedNgrams.cs (1)
65
var prediction = predictionEngine.
Predict
(samples[0]);
Dynamic\Transforms\Text\ProduceHashedWordBags.cs (1)
64
var prediction = predictionEngine.
Predict
(samples[0]);
Dynamic\Transforms\Text\ProduceNgrams.cs (1)
73
var prediction = predictionEngine.
Predict
(samples[0]);
Dynamic\Transforms\Text\ProduceWordBags.cs (1)
70
var prediction = predictionEngine.
Predict
(samples[0]);
Dynamic\Transforms\Text\RemoveDefaultStopWords.cs (1)
52
var prediction = predictionEngine.
Predict
(data);
Dynamic\Transforms\Text\RemoveStopWords.cs (1)
51
var prediction = predictionEngine.
Predict
(data);
Dynamic\Transforms\Text\TokenizeIntoCharactersAsKeys.cs (1)
50
var prediction = predictionEngine.
Predict
(data);
Dynamic\Transforms\Text\TokenizeIntoWords.cs (1)
48
var prediction = predictionEngine.
Predict
(data);
Microsoft.ML.Samples.GPU (5)
docs\e4e90a0f3c9b109a\LearningRateSchedulingCifarResnetTransferLearning.cs (1)
171
var prediction = predictionEngine.
Predict
(imageToPredict);
docs\samples\Microsoft.ML.Samples\Dynamic\TensorFlow\TextClassification.cs (1)
123
var prediction = engine.
Predict
(data[0]);
docs\samples\Microsoft.ML.Samples\Dynamic\Trainers\MulticlassClassification\ImageClassification\ImageClassificationDefault.cs (1)
145
var prediction = predictionEngine.
Predict
(imageToPredict);
docs\samples\Microsoft.ML.Samples\Dynamic\Trainers\MulticlassClassification\ImageClassification\ResnetV2101TransferLearningEarlyStopping.cs (1)
166
var prediction = predictionEngine.
Predict
(imageToPredict);
docs\samples\Microsoft.ML.Samples\Dynamic\Trainers\MulticlassClassification\ImageClassification\ResnetV2101TransferLearningTrainTestSplit.cs (1)
154
var prediction = predictionEngine.
Predict
(imageToPredict);
Microsoft.ML.TensorFlow.Tests (20)
TensorflowTests.cs (20)
150
var prediction = predictFunction.
Predict
(new CifarData()
158
prediction = predictFunction.
Predict
(new CifarData()
669
var onePrediction = predictFunction.
Predict
(oneSample);
720
var onePrediction = predictionFunction.
Predict
(oneSample);
845
var prediction = predictFunction.
Predict
(oneSample);
895
var onePrediction = predictFunction.
Predict
(oneSample);
1163
predictFunction.
Predict
(new CifarData() { ImagePath = GetDataPath("images/banana.jpg") }),
1164
predictFunction.
Predict
(new CifarData() { ImagePath = GetDataPath("images/hotdog.jpg") }),
1165
predictFunction.
Predict
(new CifarData() { ImagePath = GetDataPath("images/tomato.jpg") })
1186
testPredictFunction.
Predict
(new CifarData() { ImagePath = GetDataPath("images/banana.jpg") }),
1187
testPredictFunction.
Predict
(new CifarData() { ImagePath = GetDataPath("images/hotdog.jpg") }),
1188
testPredictFunction.
Predict
(new CifarData() { ImagePath = GetDataPath("images/tomato.jpg") })
1281
var processedData = dataPipe.
Predict
(data[0]);
1283
var prediction = tfEnginePipe.
Predict
(processedData);
1346
var textOutput = transformer.
Predict
(input);
1377
var primitiveOutput = transformer.
Predict
(input);
1558
var predictionFirst = predictionEngine.
Predict
(firstImageToPredict);
1559
var predictionSecond = predictionEngine.
Predict
(secondImageToPredict);
1717
var predictionFirst = predictionEngine.
Predict
(firstImageToPredict);
1718
var predictionSecond = predictionEngine.
Predict
(secondImageToPredict);
Microsoft.ML.Tests (51)
DatabaseLoaderTests.cs (10)
77
Assert.Equal(0, engine.
Predict
(new IrisData()
85
Assert.Equal(1, engine.
Predict
(new IrisData()
113
Assert.Equal(0, engine.
Predict
(new IrisData()
121
Assert.Equal(1, engine.
Predict
(new IrisData()
149
Assert.Equal(0, engine.
Predict
(new IrisVectorData()
155
Assert.Equal(1, engine.
Predict
(new IrisVectorData()
181
Assert.Equal(0, engine.
Predict
(new IrisVectorData()
187
Assert.Equal(1, engine.
Predict
(new IrisVectorData()
213
Assert.Equal(0, engine.
Predict
(new IrisData()
221
Assert.Equal(1, engine.
Predict
(new IrisData()
ImagesTests.cs (2)
278
var transformedSingleImage = engine.
Predict
(singleImage);
1198
var prediction = predEngine.
Predict
(dataObjects[i]);
OnnxSequenceTypeWithAttributesTest.cs (1)
63
var output = predictor.
Predict
(input);
Scenarios\Api\CookbookSamples\CookbookSamplesDynamicApi.cs (1)
284
var prediction = predictionFunc.
Predict
(new IrisInput
Scenarios\Api\Estimators\DecomposableTrainAndPredict.cs (1)
46
var prediction = engine.
Predict
(input);
Scenarios\Api\Estimators\Extensibility.cs (1)
55
var prediction = engine.
Predict
(input);
Scenarios\Api\Estimators\MultithreadedPrediction.cs (1)
50
var prediction = engine.
Predict
(input);
Scenarios\Api\Estimators\PredictAndMetadata.cs (1)
64
var prediction = engine.
Predict
(input);
Scenarios\Api\Estimators\SimpleTrainAndPredict.cs (2)
45
var prediction = engine.
Predict
(input);
84
var prediction = engine.
Predict
(input);
Scenarios\ClusteringTests.cs (1)
77
var scores = predictFunction.
Predict
(clusters[i]);
Scenarios\IrisPlantClassificationTests.cs (3)
50
IrisPrediction prediction = predictFunction.
Predict
(new IrisData()
62
prediction = predictFunction.
Predict
(new IrisData()
74
prediction = predictFunction.
Predict
(new IrisData()
Scenarios\IrisPlantClassificationWithStringLabelTests.cs (3)
49
IrisPredictionWithStringLabel prediction = predictFunction.
Predict
(new IrisDataWithStringLabel()
62
prediction = predictFunction.
Predict
(new IrisDataWithStringLabel()
75
prediction = predictFunction.
Predict
(new IrisDataWithStringLabel()
Scenarios\WordBagTest.cs (2)
40
var prediction = predictionEngine.
Predict
(samples[0]);
75
var prediction = predictionEngine.
Predict
(samples[0]);
ScenariosWithDirectInstantiation\IrisPlantClassificationTests.cs (3)
56
IrisPrediction prediction = model.
Predict
(new IrisData()
68
prediction = model.
Predict
(new IrisData()
80
prediction = model.
Predict
(new IrisData()
Transformers\TextFeaturizerTests.cs (19)
55
var prediction = engine.
Predict
(data[0]);
58
prediction = engine.
Predict
(data[1]);
80
var prediction = engine.
Predict
(data[0]);
85
prediction = engine.
Predict
(data[1]);
193
var prediction = engine.
Predict
(data[0]);
198
prediction = engine.
Predict
(data[1]);
221
var prediction = engine.
Predict
(data[0]);
228
prediction = engine.
Predict
(data[1]);
254
var prediction = engine.
Predict
(data[0]);
257
prediction = engine.
Predict
(data[1]);
271
var prediction1 = engine.
Predict
(data[0]);
272
var prediction2 = engine.
Predict
(data[1]);
320
var prediction1 = engine.
Predict
(data[0]);
321
var prediction2 = engine.
Predict
(data[1]);
357
var prediction1 = engine.
Predict
(data[0]);
358
var prediction2 = engine.
Predict
(data[1]);
395
var prediction1 = engine.
Predict
(data[0]);
396
var prediction2 = engine.
Predict
(data[1]);
766
var prediction = engine.
Predict
(input);