129 instantiations of PredictorAndArgs
Microsoft.ML.Predictor.Tests (18)
TestPredictors.cs (18)
211var predictor = new PredictorAndArgs
616var args = new PredictorAndArgs
2207var pa = new PredictorAndArgs(new SubComponent("WeightedEnsembleMulticlass", "bp=mlr{t-} nm=20 st=BootstrapSelector{} tp=-"), "WE-Bootstrap");
2216var pa = new PredictorAndArgs(new SubComponent("WeightedEnsemble", "nm=20 tp=-"), "WE-Default");
2224var pa = new PredictorAndArgs(new SubComponent("WeightedEnsemble", "bp=AvgPer nm=3 tp=-"), "WE-AvgPer");
2232var pa = new PredictorAndArgs(new SubComponent("WeightedEnsemble", "bp=svm bp=ap nm=20 tp=-"), "WE-Hetero");
2240var pa = new PredictorAndArgs(new SubComponent("WeightedEnsemble", "nm=20 oc=Voting tp=-"), "WE-Voting");
2248var pa = new PredictorAndArgs(new SubComponent("WeightedEnsemble", "nm=5 oc=Stacking{bp=ap} tp=-"), "WE-StackingAP");
2256var pa = new PredictorAndArgs(new SubComponent("WeightedEnsemble", "nm=20 oc=Average tp=-"), "WE-Average");
2264var pa = new PredictorAndArgs(new SubComponent("WeightedEnsemble", "nm=20 pt=BestPerformanceSelector tp=-"), "WE-BestPerf");
2272var pa = new PredictorAndArgs(new SubComponent("WeightedEnsemble", "nm=20 pt=BestDiverseSelector tp=-"), "WE-Diverse");
2280var pa = new PredictorAndArgs(new SubComponent("WeightedEnsemble", "nm=5 st=RandomPartitionSelector tp=-"), "WE-RandomPartition");
2288var pa = new PredictorAndArgs(new SubComponent("WeightedEnsemble", "nm=20 st=AllInstanceSelector tp=-"), "WE-All");
2296var pa = new PredictorAndArgs(new SubComponent("WeightedEnsemble", "nm=20 st=AllInstanceSelector{fs=RandomFeatureSelector} tp=-"), "WE-RandomFeature");
2304var pa = new PredictorAndArgs(new SubComponent("WeightedEnsembleMulticlass", "bp=mlr{t-} nm=5 oc=MultiAverage tp=-"), "WE-Average");
2312var pa = new PredictorAndArgs(new SubComponent("WeightedEnsembleMulticlass", "bp=mlr{t-} nm=5 oc=MultiVoting tp=-"), "WE-Voting");
2320var pa = new PredictorAndArgs(new SubComponent("WeightedEnsembleMulticlass", "bp=mlr{t-} nm=5 oc=MultiStacking{bp=mlr{t-}} tp=-"), "WE-Stacking");
2328var pa = new PredictorAndArgs(new SubComponent("WeightedEnsembleMulticlass", "bp=SDCAMC{nt=1} nm=5 oc=MultiAverage tp=-"), "WE-SDCA-Average");
Microsoft.ML.TestFramework (111)
155 references to PredictorAndArgs
Microsoft.ML.Predictor.Tests (32)
TestPredictors.cs (32)
141var predictor = TestLearners.fastRankClassificationPruning;
211var predictor = new PredictorAndArgs
375var learner = TestLearners.fastRankClassification;
469foreach (var learner in learners)
485foreach (var learner in learners)
616var args = new PredictorAndArgs
986foreach (var learner in learners)
1005foreach (var learner in learners)
1025foreach (var learner in learners)
1043foreach (var learner in learners)
1060foreach (var learner in learners)
1081foreach (var learner in learners)
1098foreach (var learner in learners)
1118foreach (var learner in learners)
1593new List<PredictorAndArgs>() { TestLearners.multiclassLogisticRegressionRegularized },
1676var learner = TestLearners.fastRankClassificationWeighted;
2207var pa = new PredictorAndArgs(new SubComponent("WeightedEnsembleMulticlass", "bp=mlr{t-} nm=20 st=BootstrapSelector{} tp=-"), "WE-Bootstrap");
2216var pa = new PredictorAndArgs(new SubComponent("WeightedEnsemble", "nm=20 tp=-"), "WE-Default");
2224var pa = new PredictorAndArgs(new SubComponent("WeightedEnsemble", "bp=AvgPer nm=3 tp=-"), "WE-AvgPer");
2232var pa = new PredictorAndArgs(new SubComponent("WeightedEnsemble", "bp=svm bp=ap nm=20 tp=-"), "WE-Hetero");
2240var pa = new PredictorAndArgs(new SubComponent("WeightedEnsemble", "nm=20 oc=Voting tp=-"), "WE-Voting");
2248var pa = new PredictorAndArgs(new SubComponent("WeightedEnsemble", "nm=5 oc=Stacking{bp=ap} tp=-"), "WE-StackingAP");
2256var pa = new PredictorAndArgs(new SubComponent("WeightedEnsemble", "nm=20 oc=Average tp=-"), "WE-Average");
2264var pa = new PredictorAndArgs(new SubComponent("WeightedEnsemble", "nm=20 pt=BestPerformanceSelector tp=-"), "WE-BestPerf");
2272var pa = new PredictorAndArgs(new SubComponent("WeightedEnsemble", "nm=20 pt=BestDiverseSelector tp=-"), "WE-Diverse");
2280var pa = new PredictorAndArgs(new SubComponent("WeightedEnsemble", "nm=5 st=RandomPartitionSelector tp=-"), "WE-RandomPartition");
2288var pa = new PredictorAndArgs(new SubComponent("WeightedEnsemble", "nm=20 st=AllInstanceSelector tp=-"), "WE-All");
2296var pa = new PredictorAndArgs(new SubComponent("WeightedEnsemble", "nm=20 st=AllInstanceSelector{fs=RandomFeatureSelector} tp=-"), "WE-RandomFeature");
2304var pa = new PredictorAndArgs(new SubComponent("WeightedEnsembleMulticlass", "bp=mlr{t-} nm=5 oc=MultiAverage tp=-"), "WE-Average");
2312var pa = new PredictorAndArgs(new SubComponent("WeightedEnsembleMulticlass", "bp=mlr{t-} nm=5 oc=MultiVoting tp=-"), "WE-Voting");
2320var pa = new PredictorAndArgs(new SubComponent("WeightedEnsembleMulticlass", "bp=mlr{t-} nm=5 oc=MultiStacking{bp=mlr{t-}} tp=-"), "WE-Stacking");
2328var pa = new PredictorAndArgs(new SubComponent("WeightedEnsembleMulticlass", "bp=SDCAMC{nt=1} nm=5 oc=MultiAverage tp=-"), "WE-SDCA-Average");
Microsoft.ML.TestFramework (123)
BaseTestPredictorsMaml.cs (12)
36public readonly PredictorAndArgs Predictor;
50public RunContext(TestCommandBase test, Cmd cmd, PredictorAndArgs predictor, TestDataset dataset,
304private static string GetNamePrefix(string testType, PredictorAndArgs predictor, TestDataset dataset, string extraTag = "")
342IList<PredictorAndArgs> predictors, IList<TestDataset> datasets,
349foreach (PredictorAndArgs predictor in predictors)
357protected void RunOneAllTests(PredictorAndArgs predictor, TestDataset dataset,
369protected RunContext RunOneTrain(PredictorAndArgs predictor, TestDataset dataset,
379protected RunContext Run_Train(PredictorAndArgs predictor, TestDataset dataset,
390protected void Run_TrainTest(PredictorAndArgs predictor, TestDataset dataset,
405protected void Run_TrainSaveTest(PredictorAndArgs predictor, TestDataset dataset,
417protected void Run_Test(PredictorAndArgs predictor, TestDataset dataset, string modelPath,
430protected void Run_CV(PredictorAndArgs predictor, TestDataset dataset,