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)
46
var columnInference = context.
Auto
().InferColumns(dataPath, DatasetUtil.UciAdultLabel);
58
var result = context.
Auto
()
72
var columnInference = context.
Auto
().InferColumns(dataPath, DatasetUtil.UciAdultLabel);
85
var result = context.
Auto
()
99
var columnInference = context.
Auto
().InferColumns(dataPath, DatasetUtil.UciAdultLabel);
112
var result = context.
Auto
()
126
var columnInference = context.
Auto
().InferColumns(dataPath, DatasetUtil.UciAdultLabel);
137
var result = context.
Auto
()
171
var result = context.
Auto
()
201
var result = context.
Auto
()
232
var result = context.
Auto
()
241
result = context.
Auto
()
260
var columnInference = context.
Auto
().InferColumns(DatasetUtil.TrivialMulticlassDatasetPath, DatasetUtil.TrivialMulticlassDatasetLabel);
284
var result = context.
Auto
()
316
var result = context.
Auto
()
334
var columnInference = context.
Auto
().InferColumns(datasetPath, "Label");
346
var result = context.
Auto
()
361
var columnInference = context.
Auto
().InferColumns(datasetPath, "Label");
369
var result = context.
Auto
()
391
var columnInference = context.
Auto
().InferColumns(datasetPath, "Label");
398
var result = context.
Auto
()
429
var experiment = mlContext.
Auto
()
486
var experiment = mlContext.
Auto
()
530
ExperimentResult<RegressionMetrics> experimentResult = mlContext.
Auto
()
586
var columnInference = context.
Auto
().InferColumns(dataPath, DatasetUtil.UciAdultLabel);
600
var modelFull = context.
Auto
()
607
var modelTrainTest = context.
Auto
()
614
var modelCV = context.
Auto
()
650
var columnInference = context.
Auto
().InferColumns(dataPath, DatasetUtil.UciAdultLabel);
653
var experiment = context.
Auto
()
AutoMLExperimentTests.cs (34)
36
var experiment = context.
Auto
().CreateExperiment();
66
var experiment = context.
Auto
().CreateExperiment();
104
var experiment = context.
Auto
().CreateExperiment();
105
var pipeline = context.
Auto
().Featurizer(data, "_Features_", excludeColumns: new[] { DatasetUtil.UciAdultLabel })
124
var experiment = context.
Auto
().CreateExperiment();
163
var experiment = context.
Auto
().CreateExperiment();
186
var experiment = context.
Auto
().CreateExperiment();
221
var experiment = context.
Auto
().CreateExperiment();
222
var pipeline = context.
Auto
().Featurizer(data, "_Features_", excludeColumns: new[] { DatasetUtil.UciAdultLabel })
223
.Append(context.
Auto
().BinaryClassification(DatasetUtil.UciAdultLabel, "_Features_", useLgbm: false, useSdcaLogisticRegression: false, useLbfgsLogisticRegression: false));
246
var experiment = context.
Auto
().CreateExperiment();
247
var pipeline = context.
Auto
().Featurizer(data, "_Features_", excludeColumns: new[] { DatasetUtil.UciAdultLabel })
248
.Append(context.
Auto
().BinaryClassification(DatasetUtil.UciAdultLabel, "_Features_", exampleWeightColumnName: "signedWeight", useLgbm: false, useSdcaLogisticRegression: false, useLbfgsLogisticRegression: false));
271
var experiment = context.
Auto
().CreateExperiment();
272
var pipeline = context.
Auto
().Featurizer(data, "_Features_", excludeColumns: new[] { DatasetUtil.UciAdultLabel })
273
.Append(context.
Auto
().BinaryClassification(DatasetUtil.UciAdultLabel, "_Features_", useLgbm: false, useSdcaLogisticRegression: false, useLbfgsLogisticRegression: false));
296
var experiment = context.
Auto
().CreateExperiment();
298
var pipeline = context.
Auto
().Featurizer(data, excludeColumns: new[] { label })
300
.Append(context.
Auto
().MultiClassification(label, useLgbm: false, useSdcaMaximumEntrophy: false, useLbfgsMaximumEntrophy: false));
323
var experiment = context.
Auto
().CreateExperiment();
325
var pipeline = context.
Auto
().Featurizer(data, excludeColumns: new[] { label })
327
.Append(context.
Auto
().MultiClassification(label, useLgbm: false, useSdcaMaximumEntrophy: false, useLbfgsMaximumEntrophy: false));
351
var experiment = context.
Auto
().CreateExperiment();
353
var pipeline = context.
Auto
().Featurizer(train, excludeColumns: new[] { label })
354
.Append(context.
Auto
().Regression(label, useLgbm: false, useSdca: false, useLbfgsPoissonRegression: false));
365
experiment = context.
Auto
().CreateExperiment();
381
var experiment = context.
Auto
().CreateExperiment();
383
var pipeline = context.
Auto
().Featurizer(train, excludeColumns: new[] { label })
384
.Append(context.
Auto
().Regression(label, useLgbm: false, useSdca: false, useLbfgsPoissonRegression: false));
400
var experiment = context.
Auto
().CreateExperiment();
402
var pipeline = context.
Auto
().Featurizer(train, excludeColumns: new[] { label })
403
.Append(context.
Auto
().Regression(label, useLgbm: false, useSdca: false, useLbfgsPoissonRegression: false));
419
var experiment = context.
Auto
().CreateExperiment();
424
experiment = context.
Auto
().CreateExperiment();
ColumnInferenceTests.cs (13)
33
var columnInferenceWithoutGrouping = context.
Auto
().InferColumns(dataPath, DatasetUtil.UciAdultLabel, groupColumns: false);
39
var columnInferenceWithGrouping = context.
Auto
().InferColumns(dataPath, DatasetUtil.UciAdultLabel, groupColumns: true);
48
Assert.Throws<ArgumentException>(new System.Action(() => context.
Auto
().InferColumns(dataPath, "Junk", groupColumns: false)));
54
Assert.Throws<ArgumentOutOfRangeException>(() => new MLContext(1).
Auto
().InferColumns(DatasetUtil.GetUciAdultDataset(), 100));
60
var result = new MLContext(1).
Auto
().InferColumns(DatasetUtil.GetUciAdultDataset(), 14, hasHeader: true);
70
var result = new MLContext(1).
Auto
().InferColumns(DatasetUtil.GetIrisDataset(), DatasetUtil.IrisDatasetLabelColIndex);
81
var result = new MLContext(1).
Auto
().InferColumns(Path.Combine("TestData", "DatasetWithEmptyColumn.txt"), DefaultColumnNames.Label, groupColumns: false);
89
var result = new MLContext(1).
Auto
().InferColumns(Path.Combine("TestData", "BinaryDatasetWithBoolColumn.txt"), DefaultColumnNames.Label);
136
var result = new MLContext(1).
Auto
().InferColumns(Path.Combine("TestData", "NameColumnIsOnlyFeatureDataset.txt"), DefaultColumnNames.Label);
152
var result = new MLContext(1).
Auto
()
173
var result = new MLContext(1).
Auto
().InferColumns(Path.Combine("TestData", "DatasetWithDefaultColumnNames.txt"),
190
var result = new MLContext(1).
Auto
().InferColumns(DatasetUtil.GetMlNetGeneratedRegressionDataset(),
222
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)
82
.Append(context.
Auto
().BinaryClassification());
95
.Append(context.
Auto
().MultiClassification());
108
.Append(context.
Auto
().MultiClassification());
121
.Append(context.
Auto
().MultiClassification());
135
.Append(context.
Auto
().MultiClassification());
149
.Append(context.
Auto
().MultiClassification().Estimators.Select(kv => kv.Value).ToArray());
162
.Append(context.
Auto
().MultiClassification().Estimators.Select(kv => kv.Value).ToArray());
175
.Append(context.
Auto
().MultiClassification().Estimators.Select(kv => kv.Value).ToArray());
TrainValidaionDatasetManagerTest.cs (1)
30
var columnInference = context.
Auto
().InferColumns(dataPath, DatasetUtil.UciAdultLabel);
TunerTests.cs (1)
461
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)
91
var experiment = context.
Auto
().CreateExperiment();
97
.Append(context.
Auto
().BinaryClassification(labelColumnName: "y", exampleWeightColumnName: "signedWeight"));