42 references to Append
Microsoft.ML.AutoML (26)
API\AutoCatalog.cs (9)
403
return new SweepablePipeline().
Append
(res.ToArray());
526
return new SweepablePipeline().
Append
(res.ToArray());
618
return new SweepablePipeline().
Append
(res.ToArray());
694
return new SweepablePipeline().
Append
(new SweepableEstimator[] { SweepableEstimatorFactory.CreateOneHotEncoding(option), SweepableEstimatorFactory.CreateOneHotHashEncoding(option) });
837
pipeline = pipeline.
Append
(this.NumericFeaturizer(numericFeatureColumnNames, numericFeatureColumnNames));
842
pipeline = pipeline.
Append
(this.BooleanFeaturizer(booleanFeatureColumnNames, booleanFeatureColumnNames));
847
pipeline = pipeline.
Append
(this.CatalogFeaturizer(catalogFeatureColumnNames, catalogFeatureColumnNames));
852
pipeline = pipeline.
Append
(this.ImagePathFeaturizer(imagePathColumn, imagePathColumn));
857
pipeline = pipeline.
Append
(this.TextFeaturizer(textColumn, textColumn));
API\BinaryClassificationExperiment.cs (2)
335
.
Append
(Context.Auto().BinaryClassification(labelColumnName: columnInformation.LabelColumnName, useSdcaLogisticRegression: useSdca, useFastTree: useFastTree, useLgbm: useLgbm, useLbfgsLogisticRegression: uselbfgs, useFastForest: useFastForest, featureColumnName: Features));
340
.
Append
(Context.Auto().BinaryClassification(labelColumnName: columnInformation.LabelColumnName, useSdcaLogisticRegression: useSdca, useFastTree: useFastTree, useLgbm: useLgbm, useLbfgsLogisticRegression: uselbfgs, useFastForest: useFastForest, featureColumnName: Features));
API\MulticlassClassificationExperiment.cs (2)
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 (2)
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));
API\SweepableExtension.cs (11)
11
return new SweepablePipeline().Append(estimator).
Append
(estimator1);
16
return pipeline.
Append
(new SweepableEstimator((context, parameter) => estimator, new SearchSpace.SearchSpace()));
21
return new SweepablePipeline().
Append
(estimator).
Append
(estimator1);
26
return new SweepablePipeline().
Append
(estimator).Append(estimator1);
32
var res = new SweepablePipeline().
Append
(sweepableEstimator).
Append
(pipeline);
40
pipeline = pipeline.
Append
(estimator);
42
return pipeline.
Append
(estimators);
48
var pipeline = new SweepablePipeline().
Append
(sweepableEstimator).
Append
(estimators);
Microsoft.ML.AutoML.Samples (1)
Cifar10.cs (1)
39
.
Append
(context.Auto().MultiClassification());
Microsoft.ML.AutoML.Tests (15)
AutoMLExperimentTests.cs (8)
223
.
Append
(context.Auto().BinaryClassification(DatasetUtil.UciAdultLabel, "_Features_", useLgbm: false, useSdcaLogisticRegression: false, useLbfgsLogisticRegression: false));
248
.
Append
(context.Auto().BinaryClassification(DatasetUtil.UciAdultLabel, "_Features_", exampleWeightColumnName: "signedWeight", useLgbm: false, useSdcaLogisticRegression: false, useLbfgsLogisticRegression: false));
273
.
Append
(context.Auto().BinaryClassification(DatasetUtil.UciAdultLabel, "_Features_", useLgbm: false, useSdcaLogisticRegression: false, useLbfgsLogisticRegression: false));
300
.
Append
(context.Auto().MultiClassification(label, useLgbm: false, useSdcaMaximumEntrophy: false, useLbfgsMaximumEntrophy: false));
327
.
Append
(context.Auto().MultiClassification(label, useLgbm: false, useSdcaMaximumEntrophy: false, useLbfgsMaximumEntrophy: false));
354
.
Append
(context.Auto().Regression(label, useLgbm: false, useSdca: false, useLbfgsPoissonRegression: false));
384
.
Append
(context.Auto().Regression(label, useLgbm: false, useSdca: false, useLbfgsPoissonRegression: false));
403
.
Append
(context.Auto().Regression(label, useLgbm: false, useSdca: false, useLbfgsPoissonRegression: false));
SweepableEstimatorPipelineTest.cs (1)
51
pipeline = pipeline.Append(e1).
Append
(e2);
SweepableExtensionTest.cs (2)
135
.
Append
(context.Auto().MultiClassification());
149
.
Append
(context.Auto().MultiClassification().Estimators.Select(kv => kv.Value).ToArray());
SweepablePipelineTests.cs (4)
59
pipeline = pipeline.
Append
(SweepableEstimatorFactory.CreateConcatenate(concatOption));
62
pipeline = pipeline.
Append
(SweepableEstimatorFactory.CreateLightGbmBinary(lgbmOption), SweepableEstimatorFactory.CreateConcatenate(concatOption));
65
pipeline = pipeline.
Append
(SweepableEstimatorFactory.CreateConcatenate(concatOption), pipeline);
68
pipeline = pipeline.
Append
(pipeline, pipeline);