24 writes to MamlArgs
Microsoft.ML.Predictor.Tests (1)
TestPredictors.cs (1)
214
MamlArgs
= new[]
Microsoft.ML.TestFramework (23)
Learners.cs (23)
130
MamlArgs
= new[] { "norm=no" },
136
MamlArgs
= new[] { "norm=no" },
143
MamlArgs
= new[] { "norm=no" },
186
MamlArgs
= new[] { "norm=no" },
194
MamlArgs
= new[] { "norm=no" },
202
MamlArgs
= new[] { "norm=no" },
219
MamlArgs
= new[] { "xf=BinNormalizer{col=Features numBins=5}" },
235
MamlArgs
= new[] { "xf=MeanVarNormalizer{col=Features}" },
244
MamlArgs
= new[] { "norm=no" },
252
MamlArgs
= new[] { "norm=no" },
400
MamlArgs
= new[] { "eval=Ranking{gains=0,2,3,5,6}" },
437
MamlArgs
= new[] { "Eval=regression{loss=tweedie{index=1.5}}" },
493
MamlArgs
= new[] { "xf=MinMax{col=Features zero-}" }
499
MamlArgs
= new[] { "norm=no" },
505
MamlArgs
= new[] { "xf=MinMax{col=Features}" },
512
MamlArgs
= new[] { "norm=no" },
550
MamlArgs
= new[] { "xf=MinMax{col=Features zero-}" },
558
MamlArgs
= new[] { "xf=MinMax{col=Features zero-}" },
572
MamlArgs
= new[] { "norm=no" },
679
MamlArgs
= new[] { "norm=no" },
793
MamlArgs
= new[] { "norm=no" }
799
MamlArgs
= new[] { "norm=no" },
812
MamlArgs
= new[] { "xf=Copy{col=DupFeatures:Features} xf=MinMax{col=Features col=DupFeatures} norm=No", "col[Feature]=DupFeatures" },
2 references to MamlArgs
Microsoft.ML.TestFramework (2)
BaseTestPredictorsMaml.cs (2)
136
if (ctx.Predictor.
MamlArgs
!= null)
137
args.AddRange(ctx.Predictor.
MamlArgs
);