EntryPoints\SchemaManipulation.cs (6)
18public static CommonOutputs.TransformOutput ConcatColumns(IHostEnvironment env, ColumnConcatenatingTransformer.Options input)
26return new CommonOutputs.TransformOutput { Model = new TransformModelImpl(env, xf, input.Data), OutputData = xf };
30public static CommonOutputs.TransformOutput SelectColumns(IHostEnvironment env, ColumnSelectingTransformer.Options input)
38return new CommonOutputs.TransformOutput { Model = new TransformModelImpl(env, xf, input.Data), OutputData = xf };
42public static CommonOutputs.TransformOutput CopyColumns(IHostEnvironment env, ColumnCopyingTransformer.Options input)
49return new CommonOutputs.TransformOutput { Model = new TransformModelImpl(env, xf, input.Data), OutputData = xf };
EntryPoints\SelectRows.cs (8)
19public static CommonOutputs.TransformOutput FilterByRange(IHostEnvironment env, RangeFilter.Options input)
27return new CommonOutputs.TransformOutput { Model = new TransformModelImpl(env, xf, input.Data), OutputData = xf };
32public static CommonOutputs.TransformOutput SkipFilter(IHostEnvironment env, SkipTakeFilter.SkipOptions input)
39return new CommonOutputs.TransformOutput { Model = new TransformModelImpl(env, xf, input.Data), OutputData = xf };
44public static CommonOutputs.TransformOutput TakeFilter(IHostEnvironment env, SkipTakeFilter.TakeOptions input)
51return new CommonOutputs.TransformOutput { Model = new TransformModelImpl(env, xf, input.Data), OutputData = xf };
56public static CommonOutputs.TransformOutput SkipAndTakeFilter(IHostEnvironment env, SkipTakeFilter.Options input)
63return new CommonOutputs.TransformOutput { Model = new TransformModelImpl(env, xf, input.Data), OutputData = xf };
Prediction\Calibrator.cs (10)
2152public static CommonOutputs.CalibratorOutput Platt(IHostEnvironment env, NoArgumentsInput input)
2159return CalibratePredictor<CommonOutputs.CalibratorOutput>(host, input, new PlattCalibratorTrainer(host));
2163public static CommonOutputs.CalibratorOutput Naive(IHostEnvironment env, NoArgumentsInput input)
2170return CalibratePredictor<CommonOutputs.CalibratorOutput>(host, input, new NaiveCalibratorTrainer(host));
2174public static CommonOutputs.CalibratorOutput Pav(IHostEnvironment env, NoArgumentsInput input)
2181return CalibratePredictor<CommonOutputs.CalibratorOutput>(host, input, new PavCalibratorTrainer(host));
2185public static CommonOutputs.CalibratorOutput FixedPlatt(IHostEnvironment env, FixedPlattInput input)
2193CalibratePredictor<CommonOutputs.CalibratorOutput>(host, input,
2204/// <returns>A <see cref="CommonOutputs.TrainerOutput"/> object, containing an <see cref="PredictorModel"/>.</returns>
2207where TOut : CommonOutputs.TrainerOutput, new()
Transforms\NormalizeUtils.cs (14)
80public static CommonOutputs.TransformOutput MinMax(IHostEnvironment env, NormalizeTransform.MinMaxArguments input)
88return new CommonOutputs.TransformOutput { Model = new TransformModelImpl(env, xf, input.Data), OutputData = xf };
92public static CommonOutputs.TransformOutput MeanVar(IHostEnvironment env, NormalizeTransform.MeanVarArguments input)
100return new CommonOutputs.TransformOutput { Model = new TransformModelImpl(env, xf, input.Data), OutputData = xf };
104public static CommonOutputs.TransformOutput LogMeanVar(IHostEnvironment env, NormalizeTransform.LogMeanVarArguments input)
112return new CommonOutputs.TransformOutput { Model = new TransformModelImpl(env, xf, input.Data), OutputData = xf };
116public static CommonOutputs.TransformOutput Bin(IHostEnvironment env, NormalizeTransform.BinArguments input)
124return new CommonOutputs.TransformOutput { Model = new TransformModelImpl(env, xf, input.Data), OutputData = xf };
128public static CommonOutputs.TransformOutput RobustScaling(IHostEnvironment env, NormalizeTransform.RobustScalingArguments input)
136return new CommonOutputs.TransformOutput { Model = new TransformModelImpl(env, xf, input.Data), OutputData = xf };
140public static CommonOutputs.MacroOutput<CommonOutputs.TransformOutput> IfNeeded(
168return new CommonOutputs.MacroOutput<CommonOutputs.TransformOutput>() { Nodes = entryPoints };