@@ -20,15 +20,12 @@ known_problems = models() do model
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" ScikitLearn" ,
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" LIBSVM" ,
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" XGBoost" ,
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- ] ||
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- any ([
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# https://github.com/lalvim/PartialLeastSquaresRegressor.jl/issues/29
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- model. package_name == " PartialLeastSquaresRegressor" ,
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- # https://github.com/jeremiedb/EvoLinear.jl/issues/12
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- model. package_name == " EvoLinear" ,
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- # waiting for BetaML 0.9.1:
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- model. package_name == " BetaML" ,
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- ])
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+ " PartialLeastSquaresRegressor" ,
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+ ] || (name = model. name, package_name = model. package_name) in [
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+ # https://github.com/sylvaticus/BetaML.jl/issues/53
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+ (name = " MultitargetNeuralNetworkRegressor" , package_name= " BetaML" ),
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+ ]
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end
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MLJTestIntegration. test_single_target_regressors (
@@ -43,6 +40,7 @@ fails1, report1 =
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known_problems,
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ignore= true ,
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level= 4 ,
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+ throw= false ,
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verbosity= 2 ,
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)
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@@ -58,8 +56,6 @@ known_problems = models() do model
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" ScikitLearn" ,
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" LIBSVM" ,
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" XGBoost" ,
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- " BetaML" , # waiting for BetaML 0.9.1:
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- " EvoLinear" , # https://github.com/jeremiedb/EvoLinear.jl/issues/12
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] || (name = model. name, package_name = model. package_name) in [
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# https://github.com/OutlierDetectionJL/OutlierDetectionNetworks.jl/issues/8
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(name = " ESADDetector" , package_name= " OutlierDetectionNetworks" ),
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