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Merged
merged 11 commits into from
Dec 2, 2020
Merged

Handle integration tests and nightly build testing #5509

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756fe80
Make -integrationTests work
antoniovs1029 Nov 24, 2020
ca9368d
Update .yml file
antoniovs1029 Nov 24, 2020
d004072
Added the TargetArchitecture properties
antoniovs1029 Nov 24, 2020
931a97c
Try out -integrationTest
antoniovs1029 Nov 24, 2020
fe0a68b
Missed -integrationTest flag
antoniovs1029 Nov 24, 2020
1047204
Renamed FunctionalTestBaseClass to IntegrationTestBaseClass
antoniovs1029 Dec 1, 2020
633490b
Missed rename
antoniovs1029 Dec 1, 2020
08a9298
Merge remote-tracking branch 'upstream/arcade' into arcade-integratio…
antoniovs1029 Dec 1, 2020
2f17ef0
Merge remote-tracking branch 'upstream/arcade' into arcade-integratio…
antoniovs1029 Dec 2, 2020
92272d4
Merge remote-tracking branch 'upstream/arcade' into arcade-integratio…
antoniovs1029 Dec 2, 2020
e31b4e3
Modified tests to make them more stable
antoniovs1029 Dec 2, 2020
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Modified tests to make them more stable
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@antoniovs1029
antoniovs1029 committed Dec 2, 2020
commit e31b4e3a865e9f7389b3643241ee0d27871cda63
6 changes: 3 additions & 3 deletions test/Microsoft.ML.IntegrationTests/Explainability.cs
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Expand Up @@ -36,13 +36,13 @@ public void GlobalFeatureImportanceWithPermutationFeatureImportance(bool saveMod

// Create a pipeline to train on the housing data.
var pipeline = mlContext.Transforms.Concatenate("Features", HousingRegression.Features)
.Append(mlContext.Regression.Trainers.Sdca());
.Append(mlContext.Regression.Trainers.FastTree());

// Fit the pipeline
var model = pipeline.Fit(data);

IDataView transformedData;
RegressionPredictionTransformer<LinearRegressionModelParameters> linearPredictor;
RegressionPredictionTransformer<FastTreeRegressionModelParameters> linearPredictor;

if(saveModel)
{
Expand All @@ -57,7 +57,7 @@ public void GlobalFeatureImportanceWithPermutationFeatureImportance(bool saveMod
transformedData = loadedModel.Transform(data);

// Extract linear predictor
linearPredictor = (loadedModel as TransformerChain<ITransformer>).LastTransformer as RegressionPredictionTransformer<LinearRegressionModelParameters>;
linearPredictor = (loadedModel as TransformerChain<ITransformer>).LastTransformer as RegressionPredictionTransformer<FastTreeRegressionModelParameters>;
}
else
{
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2 changes: 1 addition & 1 deletion test/Microsoft.ML.Tests/TrainerEstimators/LbfgsTests.cs
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Expand Up @@ -202,7 +202,7 @@ public void TestMLRWithStats()
CompareNumbersWithTolerance(stats.Deviance, 45.79, digitsOfPrecision: 2);
CompareNumbersWithTolerance(stats.NullDeviance, 329.58, digitsOfPrecision: 2);
#else
CompareNumbersWithTolerance(stats.Deviance, 45.35, digitsOfPrecision: 2);
CompareNumbersWithTolerance(stats.Deviance, 45.35, digitsOfPrecision: 0);
CompareNumbersWithTolerance(stats.NullDeviance, 329.58, digitsOfPrecision: 2);
#endif
//Assert.Equal(14, stats.ParametersCount);
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