15 instantiations of SweepableFloatParamAttribute
Microsoft.ML.Core (1)
EntryPoints\ModuleArgs.cs (1)
436new SweepableFloatParamAttribute(Name, Min, Max, StepSize ?? -1, NumSteps ?? -1, IsLogScale) { RawValue = RawValue, Frozen = Frozen };
Microsoft.ML.FastTree (3)
FastTreeArguments.cs (2)
756[TlcModule.SweepableFloatParamAttribute("LearningRates", 0.025f, 0.4f, isLogScale: true)] 764[TlcModule.SweepableFloatParamAttribute("Shrinkage", 0.025f, 4f, isLogScale: true)]
GamTrainer.cs (1)
72[TlcModule.SweepableFloatParamAttribute("LearningRates", 0.001f, 0.1f, isLogScale: true)]
Microsoft.ML.LightGbm (1)
LightGbmTrainerBase.cs (1)
97[TlcModule.SweepableFloatParamAttribute("LearningRate", 0.025f, 0.4f, isLogScale: true)]
Microsoft.ML.StandardTrainers (10)
FactorizationMachine\FactorizationMachineTrainer.cs (4)
112[TlcModule.SweepableFloatParam(0.001f, 1.0f, isLogScale: true)] 133[TlcModule.SweepableFloatParam(1e-8f, 1f, isLogScale: true)] 140[TlcModule.SweepableFloatParam(1e-8f, 1f, isLogScale: true)] 174[TlcModule.SweepableFloatParam(0.1f, 1f)]
Standard\LogisticRegression\LbfgsPredictorBase.cs (3)
47[TlcModule.SweepableFloatParamAttribute(0.0f, 1.0f, numSteps: 4)] 56[TlcModule.SweepableFloatParamAttribute(0.0f, 1.0f, numSteps: 4)] 114[TlcModule.SweepableFloatParamAttribute("InitWtsDiameter", 0.0f, 1.0f, numSteps: 5)]
Standard\Online\AveragedLinear.cs (1)
71[TlcModule.SweepableFloatParam("L2RegularizerWeight", 0.0f, 0.4f)]
Standard\Online\LinearSvm.cs (1)
85[TlcModule.SweepableFloatParamAttribute("Lambda", 0.00001f, 0.1f, 10, isLogScale: true)]
Standard\Online\OnlineLinear.cs (1)
49[TlcModule.SweepableFloatParamAttribute("InitWtsDiameter", 0.0f, 1.0f, numSteps: 5)]
2 references to SweepableFloatParamAttribute
Microsoft.ML.EntryPoints (2)
JsonUtils\JsonManifestUtils.cs (2)
246if (fieldInfo.GetCustomAttributes(typeof(TlcModule.SweepableFloatParamAttribute), false).FirstOrDefault() is TlcModule.SweepableFloatParamAttribute sfpAttr)