128 references to Auto
Microsoft.ML.AutoML (11)
API\BinaryClassificationExperiment.cs (5)
155
_experiment = context.
Auto
().CreateExperiment();
334
return preFeaturizer.Append(Context.
Auto
().Featurizer(trainData, columnInformation, Features))
335
.Append(Context.
Auto
().BinaryClassification(labelColumnName: columnInformation.LabelColumnName, useSdcaLogisticRegression: useSdca, useFastTree: useFastTree, useLgbm: useLgbm, useLbfgsLogisticRegression: uselbfgs, useFastForest: useFastForest, featureColumnName: Features));
339
return Context.
Auto
().Featurizer(trainData, columnInformation, Features)
340
.Append(Context.
Auto
().BinaryClassification(labelColumnName: columnInformation.LabelColumnName, useSdcaLogisticRegression: useSdca, useFastTree: useFastTree, useLgbm: useLgbm, useLbfgsLogisticRegression: uselbfgs, useFastForest: useFastForest, featureColumnName: Features));
API\MulticlassClassificationExperiment.cs (3)
139
_experiment = context.
Auto
().CreateExperiment();
331
pipeline = pipeline.Append(Context.
Auto
().Featurizer(trainData, columnInformation, Features));
333
pipeline = pipeline.Append(Context.
Auto
().MultiClassification(label, useSdcaMaximumEntrophy: useSdcaMaximumEntrophy, useFastTree: useFastTree, useLgbm: useLgbm, useLbfgsMaximumEntrophy: uselbfgsME, useLbfgsLogisticRegression: uselbfgsLR, useFastForest: useFastForest, featureColumnName: Features));
API\RegressionExperiment.cs (3)
134
_experiment = context.
Auto
().CreateExperiment();
312
pipeline = pipeline.Append(Context.
Auto
().Featurizer(trainData, columnInformation, Features));
313
pipeline = pipeline.Append(Context.
Auto
().Regression(label, useSdca: useSdca, useFastTree: useFastTree, useLgbm: useLgbm, useLbfgsPoissonRegression: uselbfgs, useFastForest: useFastForest, featureColumnName: Features));
Microsoft.ML.AutoML.Samples (12)
AutoFit\BinaryClassificationExperiment.cs (1)
26
ExperimentResult<BinaryClassificationMetrics> experimentResult = mlContext.
Auto
()
AutoFit\MulticlassClassificationExperiment.cs (1)
27
ExperimentResult<MulticlassClassificationMetrics> experimentResult = mlContext.
Auto
()
AutoFit\RankingExperiment.cs (1)
30
ExperimentResult<RankingMetrics> experimentResult = mlContext.
Auto
()
AutoFit\RecommendationExperiment.cs (1)
33
ExperimentResult<RegressionMetrics> experimentResult = mlContext.
Auto
()
AutoFit\RegressionExperiment.cs (1)
27
ExperimentResult<RegressionMetrics> experimentResult = mlContext.
Auto
()
AutoMLExperiment.cs (2)
29
var pipeline = context.
Auto
().BinaryClassification(labelColumnName: "Label", featureColumnName: "Features");
32
var experiment = context.
Auto
().CreateExperiment();
Cifar10.cs (3)
37
var experiment = context.
Auto
().CreateExperiment();
38
var pipeline = context.
Auto
().Featurizer(trainDataset)
39
.Append(context.
Auto
().MultiClassification());
Sweepable\SweepableLightGBMBinaryExperiment.cs (2)
45
var lgbm = context.
Auto
().CreateSweepableEstimator((_context, option) =>
58
var experiment = context.
Auto
().CreateExperiment();
Microsoft.ML.AutoML.Tests (103)
AutoFeaturizerTests.cs (7)
48
var pipeline = context.
Auto
().Featurizer(dataset, outputColumnName: "OutputFeature", excludeColumns: new[] { "Label" });
60
var pipeline = context.
Auto
().Featurizer(dataset, excludeColumns: new[] { "Label" });
72
var pipeline = context.
Auto
().Featurizer(dataset, excludeColumns: new[] { DatasetUtil.NewspaperChurnLabel });
85
var pipeline = context.
Auto
().Featurizer(dataset, excludeColumns: new[] { "A16" });
95
var pipeline = context.
Auto
().ImagePathFeaturizer("imagePath", "imagePath");
108
var columnInference = context.
Auto
().InferColumns(datasetPath, "Label");
111
var pipeline = context.
Auto
().Featurizer(trainData, columnInference.ColumnInformation);
AutoFitTests.cs (30)
45
var columnInference = context.
Auto
().InferColumns(dataPath, DatasetUtil.UciAdultLabel);
57
var result = context.
Auto
()
71
var columnInference = context.
Auto
().InferColumns(dataPath, DatasetUtil.UciAdultLabel);
84
var result = context.
Auto
()
98
var columnInference = context.
Auto
().InferColumns(dataPath, DatasetUtil.UciAdultLabel);
111
var result = context.
Auto
()
125
var columnInference = context.
Auto
().InferColumns(dataPath, DatasetUtil.UciAdultLabel);
136
var result = context.
Auto
()
170
var result = context.
Auto
()
200
var result = context.
Auto
()
231
var result = context.
Auto
()
240
result = context.
Auto
()
259
var columnInference = context.
Auto
().InferColumns(DatasetUtil.TrivialMulticlassDatasetPath, DatasetUtil.TrivialMulticlassDatasetLabel);
283
var result = context.
Auto
()
315
var result = context.
Auto
()
333
var columnInference = context.
Auto
().InferColumns(datasetPath, "Label");
345
var result = context.
Auto
()
360
var columnInference = context.
Auto
().InferColumns(datasetPath, "Label");
368
var result = context.
Auto
()
390
var columnInference = context.
Auto
().InferColumns(datasetPath, "Label");
397
var result = context.
Auto
()
428
var experiment = mlContext.
Auto
()
485
var experiment = mlContext.
Auto
()
529
ExperimentResult<RegressionMetrics> experimentResult = mlContext.
Auto
()
585
var columnInference = context.
Auto
().InferColumns(dataPath, DatasetUtil.UciAdultLabel);
599
var modelFull = context.
Auto
()
606
var modelTrainTest = context.
Auto
()
613
var modelCV = context.
Auto
()
649
var columnInference = context.
Auto
().InferColumns(dataPath, DatasetUtil.UciAdultLabel);
652
var experiment = context.
Auto
()
AutoMLExperimentTests.cs (34)
35
var experiment = context.
Auto
().CreateExperiment();
63
var experiment = context.
Auto
().CreateExperiment();
100
var experiment = context.
Auto
().CreateExperiment();
101
var pipeline = context.
Auto
().Featurizer(data, "_Features_", excludeColumns: new[] { DatasetUtil.UciAdultLabel })
119
var experiment = context.
Auto
().CreateExperiment();
158
var experiment = context.
Auto
().CreateExperiment();
181
var experiment = context.
Auto
().CreateExperiment();
216
var experiment = context.
Auto
().CreateExperiment();
217
var pipeline = context.
Auto
().Featurizer(data, "_Features_", excludeColumns: new[] { DatasetUtil.UciAdultLabel })
218
.Append(context.
Auto
().BinaryClassification(DatasetUtil.UciAdultLabel, "_Features_", useLgbm: false, useSdcaLogisticRegression: false, useLbfgsLogisticRegression: false));
241
var experiment = context.
Auto
().CreateExperiment();
242
var pipeline = context.
Auto
().Featurizer(data, "_Features_", excludeColumns: new[] { DatasetUtil.UciAdultLabel })
243
.Append(context.
Auto
().BinaryClassification(DatasetUtil.UciAdultLabel, "_Features_", exampleWeightColumnName: "signedWeight", useLgbm: false, useSdcaLogisticRegression: false, useLbfgsLogisticRegression: false));
266
var experiment = context.
Auto
().CreateExperiment();
267
var pipeline = context.
Auto
().Featurizer(data, "_Features_", excludeColumns: new[] { DatasetUtil.UciAdultLabel })
268
.Append(context.
Auto
().BinaryClassification(DatasetUtil.UciAdultLabel, "_Features_", useLgbm: false, useSdcaLogisticRegression: false, useLbfgsLogisticRegression: false));
291
var experiment = context.
Auto
().CreateExperiment();
293
var pipeline = context.
Auto
().Featurizer(data, excludeColumns: new[] { label })
295
.Append(context.
Auto
().MultiClassification(label, useLgbm: false, useSdcaMaximumEntrophy: false, useLbfgsMaximumEntrophy: false));
318
var experiment = context.
Auto
().CreateExperiment();
320
var pipeline = context.
Auto
().Featurizer(data, excludeColumns: new[] { label })
322
.Append(context.
Auto
().MultiClassification(label, useLgbm: false, useSdcaMaximumEntrophy: false, useLbfgsMaximumEntrophy: false));
346
var experiment = context.
Auto
().CreateExperiment();
348
var pipeline = context.
Auto
().Featurizer(train, excludeColumns: new[] { label })
349
.Append(context.
Auto
().Regression(label, useLgbm: false, useSdca: false, useLbfgsPoissonRegression: false));
360
experiment = context.
Auto
().CreateExperiment();
376
var experiment = context.
Auto
().CreateExperiment();
378
var pipeline = context.
Auto
().Featurizer(train, excludeColumns: new[] { label })
379
.Append(context.
Auto
().Regression(label, useLgbm: false, useSdca: false, useLbfgsPoissonRegression: false));
395
var experiment = context.
Auto
().CreateExperiment();
397
var pipeline = context.
Auto
().Featurizer(train, excludeColumns: new[] { label })
398
.Append(context.
Auto
().Regression(label, useLgbm: false, useSdca: false, useLbfgsPoissonRegression: false));
414
var experiment = context.
Auto
().CreateExperiment();
419
experiment = context.
Auto
().CreateExperiment();
ColumnInferenceTests.cs (13)
32
var columnInferenceWithoutGrouping = context.
Auto
().InferColumns(dataPath, DatasetUtil.UciAdultLabel, groupColumns: false);
38
var columnInferenceWithGrouping = context.
Auto
().InferColumns(dataPath, DatasetUtil.UciAdultLabel, groupColumns: true);
47
Assert.Throws<ArgumentException>(new System.Action(() => context.
Auto
().InferColumns(dataPath, "Junk", groupColumns: false)));
53
Assert.Throws<ArgumentOutOfRangeException>(() => new MLContext(1).
Auto
().InferColumns(DatasetUtil.GetUciAdultDataset(), 100));
59
var result = new MLContext(1).
Auto
().InferColumns(DatasetUtil.GetUciAdultDataset(), 14, hasHeader: true);
69
var result = new MLContext(1).
Auto
().InferColumns(DatasetUtil.GetIrisDataset(), DatasetUtil.IrisDatasetLabelColIndex);
80
var result = new MLContext(1).
Auto
().InferColumns(Path.Combine("TestData", "DatasetWithEmptyColumn.txt"), DefaultColumnNames.Label, groupColumns: false);
88
var result = new MLContext(1).
Auto
().InferColumns(Path.Combine("TestData", "BinaryDatasetWithBoolColumn.txt"), DefaultColumnNames.Label);
135
var result = new MLContext(1).
Auto
().InferColumns(Path.Combine("TestData", "NameColumnIsOnlyFeatureDataset.txt"), DefaultColumnNames.Label);
151
var result = new MLContext(1).
Auto
()
172
var result = new MLContext(1).
Auto
().InferColumns(Path.Combine("TestData", "DatasetWithDefaultColumnNames.txt"),
189
var result = new MLContext(1).
Auto
().InferColumns(DatasetUtil.GetMlNetGeneratedRegressionDataset(),
221
var result = mlContext.
Auto
().InferColumns(dataPath, inputColumnInformation);
DatasetUtil.cs (6)
58
var columnInferenceResult = context.
Auto
().InferColumns(uciAdultDataFile, UciAdultLabel);
71
var columnInferenceResult = context.
Auto
().InferColumns(dataFile, 0, groupColumns: false);
84
var columnInferenceResult = context.
Auto
().InferColumns(taxiFareFile, TaxiFareLabel);
97
var columnInferenceResult = context.
Auto
().InferColumns(file, NewspaperChurnLabel);
109
var columnInferenceResult = context.
Auto
().InferColumns(file, "A16");
120
var columnInferenceResult = context.
Auto
().InferColumns(taxiFareFile, TaxiFareLabel);
SweepableExtensionTest.cs (8)
81
.Append(context.
Auto
().BinaryClassification());
94
.Append(context.
Auto
().MultiClassification());
107
.Append(context.
Auto
().MultiClassification());
120
.Append(context.
Auto
().MultiClassification());
134
.Append(context.
Auto
().MultiClassification());
148
.Append(context.
Auto
().MultiClassification().Estimators.Select(kv => kv.Value).ToArray());
161
.Append(context.
Auto
().MultiClassification().Estimators.Select(kv => kv.Value).ToArray());
174
.Append(context.
Auto
().MultiClassification().Estimators.Select(kv => kv.Value).ToArray());
TrainValidaionDatasetManagerTest.cs (1)
29
var columnInference = context.
Auto
().InferColumns(dataPath, DatasetUtil.UciAdultLabel);
TunerTests.cs (1)
460
return mapKeyToValue.Append(context.
Auto
().BinaryClassification());
Utils\TaskAgnosticAutoFit.cs (3)
62
var classificationResult = _context.
Auto
()
84
var regressionResult = _context.
Auto
()
106
var recommendationResult = _context.
Auto
()
Microsoft.ML.Fairlearn.Tests (2)
GridSearchTest.cs (2)
90
var experiment = context.
Auto
().CreateExperiment();
96
.Append(context.
Auto
().BinaryClassification(labelColumnName: "y", exampleWeightColumnName: "signedWeight"));