229 references to Multiple
Microsoft.ML.Core (3)
CommandLine\ArgumentType.cs (2)
45LastOccurrenceWins = Multiple, 52MultipleUnique = Multiple | Unique,
CommandLine\CmdParser.cs (1)
2255get { return 0 != (Kind & ArgumentType.Multiple); }
Microsoft.ML.Data (81)
Commands\CrossValidationCommand.cs (5)
30[Argument(ArgumentType.Multiple, HelpText = "Trainer to use", ShortName = "tr", SignatureType = typeof(SignatureTrainer))] 33[Argument(ArgumentType.Multiple, HelpText = "Scorer to use", NullName = "<Auto>", SortOrder = 101, SignatureType = typeof(SignatureDataScorer))] 36[Argument(ArgumentType.Multiple, HelpText = "Evaluator to use", ShortName = "eval", NullName = "<Auto>", SortOrder = 102, SignatureType = typeof(SignatureMamlEvaluator))] 76[Argument(ArgumentType.Multiple, HelpText = "Transforms to apply prior to splitting the data into folds", 83[Argument(ArgumentType.Multiple, HelpText = "Output calibrator", ShortName = "cali", NullName = "<None>", SignatureType = typeof(SignatureCalibrator))]
Commands\DataCommand.cs (3)
26[Argument(ArgumentType.Multiple, Visibility = ArgumentAttribute.VisibilityType.CmdLineOnly, HelpText = "The data loader", ShortName = "loader", SortOrder = 1, NullName = "<Auto>", SignatureType = typeof(SignatureDataLoader))] 38[Argument(ArgumentType.Multiple, Visibility = ArgumentAttribute.VisibilityType.CmdLineOnly, HelpText = "Load transforms from model file?", ShortName = "loadTrans", SortOrder = 91)] 57[Argument(ArgumentType.Multiple, Visibility = ArgumentAttribute.VisibilityType.CmdLineOnly,
Commands\EvaluateCommand.cs (2)
139[Argument(ArgumentType.Multiple, HelpText = "Evaluator to use", ShortName = "eval", SignatureType = typeof(SignatureMamlEvaluator))] 192[Argument(ArgumentType.Multiple, HelpText = "Evaluator to use", ShortName = "eval", SignatureType = typeof(SignatureMamlEvaluator))]
Commands\SaveDataCommand.cs (3)
30[Argument(ArgumentType.Multiple, HelpText = "The data saver to use", NullName = "<Auto>", SignatureType = typeof(SignatureDataSaver))] 95[Argument(ArgumentType.Multiple, HelpText = "Comma separated list of columns to display", ShortName = "cols")] 107[Argument(ArgumentType.Multiple, HelpText = "The data saver to use", NullName = "<Auto>", SignatureType = typeof(SignatureDataSaver))]
Commands\ScoreCommand.cs (5)
52[Argument(ArgumentType.Multiple, 57[Argument(ArgumentType.Multiple, HelpText = "Scorer to use", SignatureType = typeof(SignatureDataScorer))] 60[Argument(ArgumentType.Multiple, HelpText = "The data saver to use", SignatureType = typeof(SignatureDataSaver))] 69[Argument(ArgumentType.Multiple, HelpText = "Post processing transform", ShortName = "pxf", SignatureType = typeof(SignatureDataTransform))] 75[Argument(ArgumentType.Multiple, HelpText = "What columns to output beyond score columns, if outputAllColumns=-.",
Commands\TestCommand.cs (2)
47[Argument(ArgumentType.Multiple, HelpText = "Scorer to use", NullName = "<Auto>", SortOrder = 101, SignatureType = typeof(SignatureDataScorer))] 50[Argument(ArgumentType.Multiple, HelpText = "Evaluator to use", ShortName = "eval", NullName = "<Auto>", SortOrder = 102, SignatureType = typeof(SignatureMamlEvaluator))]
Commands\TrainCommand.cs (2)
65[Argument(ArgumentType.Multiple, HelpText = "Trainer to use", ShortName = "tr", SignatureType = typeof(SignatureTrainer))] 77[Argument(ArgumentType.Multiple, HelpText = "Output calibrator", ShortName = "cali", NullName = "<None>", SignatureType = typeof(SignatureCalibrator))]
Commands\TrainTestCommand.cs (4)
28[Argument(ArgumentType.Multiple, HelpText = "Trainer to use", ShortName = "tr", SignatureType = typeof(SignatureTrainer))] 31[Argument(ArgumentType.Multiple, HelpText = "Scorer to use", NullName = "<Auto>", SortOrder = 101, SignatureType = typeof(SignatureDataScorer))] 34[Argument(ArgumentType.Multiple, HelpText = "Evaluator to use", ShortName = "eval", NullName = "<Auto>", SortOrder = 102, SignatureType = typeof(SignatureMamlEvaluator))] 68[Argument(ArgumentType.Multiple, HelpText = "Output calibrator", ShortName = "cali", NullName = "<None>", SignatureType = typeof(SignatureCalibrator))]
DataLoadSave\Database\DatabaseLoader.cs (3)
242[Argument(ArgumentType.Multiple, HelpText = "Source index range(s) of the column", ShortName = "src")] 248[Argument(ArgumentType.Multiple, HelpText = "For a key column, this defines the range of values", ShortName = "key")] 351[Argument(ArgumentType.Multiple, HelpText = "Column groups. Each group is specified as name:type:numeric-ranges, eg, col=Features:R4:1-17,26,35-40",
DataLoadSave\LegacyCompositeDataLoader.cs (2)
35[Argument(ArgumentType.Multiple, HelpText = "The data loader", ShortName = "loader", SignatureType = typeof(SignatureDataLoader))] 38[Argument(ArgumentType.Multiple, HelpText = "Transform", Name = "Transform", ShortName = "xf", SignatureType = typeof(SignatureDataTransform))]
DataLoadSave\Text\TextLoader.cs (4)
130[Argument(ArgumentType.Multiple, HelpText = "Source index range(s) of the column", ShortName = "src")] 136[Argument(ArgumentType.Multiple, HelpText = "For a key column, this defines the range of values", ShortName = "key")] 485[Argument(ArgumentType.Multiple, HelpText = "Column groups. Each group is specified as name:type:numeric-ranges, eg, col=Features:R4:1-17,26,35-40", 1293[Argument(ArgumentType.Multiple, SignatureType = typeof(SignatureDataLoader))]
Dirty\ChooseColumnsByIndexTransform.cs (1)
27[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "Column indices to select", Name = "Index", ShortName = "ind")]
Evaluators\MamlEvaluator.cs (1)
73[Argument(ArgumentType.Multiple, HelpText = "Stratification column name.", Name = "StratColumn", ShortName = "strat")]
Evaluators\MultiOutputRegressionEvaluator.cs (1)
617[Argument(ArgumentType.Multiple, HelpText = "Loss function", ShortName = "loss")]
Evaluators\QuantileRegressionEvaluator.cs (1)
465[Argument(ArgumentType.Multiple, HelpText = "Loss function", ShortName = "loss")]
Evaluators\RegressionEvaluator.cs (1)
343[Argument(ArgumentType.Multiple, HelpText = "Loss function", ShortName = "loss")]
Evaluators\RegressionEvaluatorBase.cs (1)
20[Argument(ArgumentType.Multiple, HelpText = "Loss function", ShortName = "loss")]
Scorers\QuantileRegressionScorer.cs (1)
25[Argument(ArgumentType.Multiple, HelpText = "List of numbers between 0 and 1 (comma-separated) to get quantile statistics. The default value outputs Five point summary")]
Transforms\ColumnBindingsBase.cs (1)
119[Argument(ArgumentType.Multiple, HelpText = "Name of the source column", ShortName = "src")]
Transforms\ColumnConcatenatingTransformer.cs (3)
76[Argument(ArgumentType.Multiple, HelpText = "Names of the source columns", ShortName = "src")] 120[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "New column definition(s) (optional form: name:srcs)", 128[Argument(ArgumentType.Multiple, HelpText = "New column definition(s) (optional form: name:srcs)",
Transforms\ColumnCopying.cs (1)
141[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "New column definition(s) (optional form: name:src)",
Transforms\ColumnSelecting.cs (2)
211[Argument(ArgumentType.Multiple, HelpText = "List of columns to keep.", ShortName = "keepcol", SortOrder = 1)] 214[Argument(ArgumentType.Multiple, HelpText = "List of columns to drop.", ShortName = "dropcol", SortOrder = 2)]
Transforms\GenerateNumberTransform.cs (1)
89[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "New column definition(s) (optional form: name:seed)",
Transforms\Hashing.cs (1)
39[Argument(ArgumentType.Multiple, HelpText = "New column definition(s) (optional form: name:src)",
Transforms\KeyToValue.cs (1)
59[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "New column definition(s) (optional form: name:src)",
Transforms\KeyToVector.cs (1)
87[Argument(ArgumentType.Multiple, HelpText = "New column definition(s) (optional form: name:src)",
Transforms\LabelConvertTransform.cs (1)
48[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "New column definition(s) (optional form: name:src)",
Transforms\LabelIndicatorTransform.cs (1)
71[Argument(ArgumentType.Multiple, HelpText = "New column definition(s) (optional form: name:src)", Name = "Column", ShortName = "col", SortOrder = 1)]
Transforms\NAFilter.cs (2)
38[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "Column", Name = "Column", ShortName = "col", SortOrder = 1)] 41[Argument(ArgumentType.Multiple, HelpText = "If true, keep only rows that contain NA values, and filter the rest.")]
Transforms\NormalizeColumn.cs (3)
173[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "New column definition(s) (optional form: name:src)", Name = "Column", ShortName = "col", SortOrder = 1)] 221[Argument(ArgumentType.Multiple, HelpText = "New column definition(s) (optional form: name:src)", Name = "Column", ShortName = "col", SortOrder = 1)] 229[Argument(ArgumentType.Multiple, HelpText = "New column definition(s) (optional form: name:src)", Name = "Column", ShortName = "col", SortOrder = 1)]
Transforms\RangeFilter.cs (6)
35[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "Column", ShortName = "col", SortOrder = 1, Purpose = SpecialPurpose.ColumnName)] 38[Argument(ArgumentType.Multiple, HelpText = "Minimum value (0 to 1 for key types)")] 41[Argument(ArgumentType.Multiple, HelpText = "Maximum value (0 to 1 for key types)")] 44[Argument(ArgumentType.Multiple, HelpText = "If true, keep the values that fall outside the range.")] 47[Argument(ArgumentType.Multiple, HelpText = "If true, include in the range the values that are equal to min.")] 50[Argument(ArgumentType.Multiple, HelpText = "If true, include in the range the values that are equal to max.")]
Transforms\SlotsDroppingTransformer.cs (2)
43[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "Columns to drop the slots for", 51[Argument(ArgumentType.Multiple, HelpText = "Source slot index range(s) of the column to drop")]
Transforms\TrainAndScoreTransformer.cs (6)
36[Argument(ArgumentType.Multiple, 41[Argument(ArgumentType.Multiple, HelpText = "Scorer to use", NullName = "<Auto>", SignatureType = typeof(SignatureDataScorer))] 131[Argument(ArgumentType.Multiple, 149[Argument(ArgumentType.Multiple, HelpText = "Trainer to use", ShortName = "tr", NullName = "<None>", SortOrder = 1, SignatureType = typeof(SignatureTrainer))] 152[Argument(ArgumentType.Multiple, HelpText = "Output calibrator", ShortName = "cali", NullName = "<None>", SignatureType = typeof(SignatureCalibrator))] 158[Argument(ArgumentType.Multiple, HelpText = "Scorer to use", NullName = "<Auto>", SignatureType = typeof(SignatureDataScorer))]
Transforms\TypeConverting.cs (3)
64[Argument(ArgumentType.Multiple, HelpText = "For a key column, this defines the cardinality/count of valid key values", ShortName = "key", Visibility = ArgumentAttribute.VisibilityType.CmdLineOnly)] 132[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "New column definition(s) (optional form: name:type:src)", Name = "Column", ShortName = "col", SortOrder = 1)] 138[Argument(ArgumentType.Multiple, HelpText = "For a key column, this defines the range of values", ShortName = "key", Visibility = ArgumentAttribute.VisibilityType.CmdLineOnly)]
Transforms\ValueMapping.cs (2)
410[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "New column definition(s) (optional form: name:src)", Name = "Column", ShortName = "col", SortOrder = 1)] 422[Argument(ArgumentType.Multiple, HelpText = "The data loader", NullName = "<Auto>", SignatureType = typeof(SignatureDataLoader))]
Transforms\ValueToKeyMappingTransformer.cs (2)
111[Argument(ArgumentType.Multiple, HelpText = "Data loader", NullName = "<Auto>", SortOrder = 111, Visibility = ArgumentAttribute.VisibilityType.CmdLineOnly, SignatureType = typeof(SignatureDataLoader))] 136[Argument(ArgumentType.Multiple, HelpText = "New column definition(s) (optional form: name:src)", Name = "Column", ShortName = "col", SortOrder = 1)]
Microsoft.ML.Ensemble (17)
OutputCombiners\MultiStacking.cs (1)
45[Argument(ArgumentType.Multiple, HelpText = "Base predictor for meta learning", ShortName = "bp", SortOrder = 50,
OutputCombiners\RegressionStacking.cs (1)
43[Argument(ArgumentType.Multiple, HelpText = "Base predictor for meta learning", ShortName = "bp", SortOrder = 50,
OutputCombiners\Stacking.cs (1)
42[Argument(ArgumentType.Multiple, HelpText = "Base predictor for meta learning", ShortName = "bp", SortOrder = 50,
Selector\SubModelSelector\BestDiverseSelectorBinary.cs (1)
28[Argument(ArgumentType.Multiple, HelpText = "The metric type to be used to find the diversity among base learners", ShortName = "dm", SortOrder = 50)]
Selector\SubModelSelector\BestDiverseSelectorMulticlass.cs (1)
29[Argument(ArgumentType.Multiple, HelpText = "The metric type to be used to find the diversity among base learners", ShortName = "dm", SortOrder = 50)]
Selector\SubModelSelector\BestDiverseSelectorRegression.cs (1)
28[Argument(ArgumentType.Multiple, HelpText = "The metric type to be used to find the diversity among base learners", ShortName = "dm", SortOrder = 50)]
Selector\SubsetSelector\BaseSubsetSelector.cs (1)
19[Argument(ArgumentType.Multiple, HelpText = "The Feature selector", ShortName = "fs", SortOrder = 1)]
Trainer\Binary\EnsembleTrainer.cs (3)
41[Argument(ArgumentType.Multiple, HelpText = "Algorithm to prune the base learners for selective Ensemble", ShortName = "pt", SortOrder = 4)] 46[Argument(ArgumentType.Multiple, HelpText = "Output combiner", ShortName = "oc", SortOrder = 5)] 51[Argument(ArgumentType.Multiple, HelpText = "Base predictor type", ShortName = "bp,basePredictorTypes", SortOrder = 1, Visibility = ArgumentAttribute.VisibilityType.CmdLineOnly, SignatureType = typeof(SignatureBinaryClassifierTrainer))]
Trainer\EnsembleTrainerBase.cs (1)
39[Argument(ArgumentType.Multiple, HelpText = "Sampling Type", ShortName = "st", SortOrder = 2)]
Trainer\Multiclass\MulticlassDataPartitionEnsembleTrainer.cs (3)
43[Argument(ArgumentType.Multiple, HelpText = "Algorithm to prune the base learners for selective Ensemble", ShortName = "pt", SortOrder = 4)] 47[Argument(ArgumentType.Multiple, HelpText = "Output combiner", ShortName = "oc", SortOrder = 5)] 52[Argument(ArgumentType.Multiple, HelpText = "Base predictor type", ShortName = "bp,basePredictorTypes", SortOrder = 1, Visibility = ArgumentAttribute.VisibilityType.CmdLineOnly, SignatureType = typeof(SignatureMulticlassClassifierTrainer))]
Trainer\Regression\RegressionEnsembleTrainer.cs (3)
37[Argument(ArgumentType.Multiple, HelpText = "Algorithm to prune the base learners for selective Ensemble", ShortName = "pt", SortOrder = 4)] 41[Argument(ArgumentType.Multiple, HelpText = "Output combiner", ShortName = "oc", SortOrder = 5)] 46[Argument(ArgumentType.Multiple, HelpText = "Base predictor type", ShortName = "bp,basePredictorTypes", SortOrder = 1, Visibility = ArgumentAttribute.VisibilityType.CmdLineOnly, SignatureType = typeof(SignatureRegressorTrainer))]
Microsoft.ML.EntryPoints (10)
CrossValidationMacro.cs (4)
116[Argument(ArgumentType.Multiple, HelpText = "Overall metrics datasets", SortOrder = 1)] 119[Argument(ArgumentType.Multiple, HelpText = "Per instance metrics datasets", SortOrder = 2)] 122[Argument(ArgumentType.Multiple, HelpText = "Confusion matrix datasets", SortOrder = 3)] 125[Argument(ArgumentType.Multiple, HelpText = "Warning datasets", SortOrder = 4)]
FeatureCombiner.cs (1)
25[Argument(ArgumentType.Multiple, HelpText = "Features", SortOrder = 2)]
ModelOperations.cs (4)
22[Argument(ArgumentType.Multiple, HelpText = "Input models", SortOrder = 1)] 34[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "Transform model", SortOrder = 1)] 58[Argument(ArgumentType.Multiple, HelpText = "Input models", SortOrder = 1)] 67[Argument(ArgumentType.Multiple, HelpText = "Input models", SortOrder = 1)]
ScoreColumnSelector.cs (1)
19[Argument(ArgumentType.Multiple, HelpText = "Extra columns to write", SortOrder = 2)]
Microsoft.ML.FastTree (3)
FastTreeArguments.cs (2)
353[Argument(ArgumentType.Multiple, HelpText = "Allows to choose Parallel FastTree Learning Algorithm", ShortName = "parag")] 694[Argument(ArgumentType.Multiple, HelpText = "Early stopping rule. (Validation set (/valid) is required.)", Name = "EarlyStoppingRule", ShortName = "esr", NullName = "<Disable>")]
TreeEnsembleFeaturizer.cs (1)
539[Argument(ArgumentType.Multiple, HelpText = "Trainer to use", ShortName = "tr", NullName = "<None>", SortOrder = 1, SignatureType = typeof(SignatureTreeEnsembleTrainer))]
Microsoft.ML.ImageAnalytics (5)
ImageGrayscale.cs (1)
56[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "New column definition(s) (optional form: name:src)", Name = "Column", ShortName = "col", SortOrder = 1)]
ImageLoader.cs (1)
59[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "New column definition(s) (optional form: name:src)", Name = "Column", ShortName = "col", SortOrder = 1)]
ImagePixelExtractor.cs (1)
92[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "New column definition(s) (optional form: name:src)", Name = "Column", ShortName = "col", SortOrder = 1)]
ImageResizer.cs (1)
72[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "New column definition(s) (optional form: name:src)", Name = "Column", ShortName = "col", SortOrder = 1)]
VectorToImageTransform.cs (1)
106[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "New column definition(s) (optional form: name:src)", Name = "Column", ShortName = "col", SortOrder = 1)]
Microsoft.ML.LightGbm (3)
LightGbmRankingTrainer.cs (1)
131[Argument(ArgumentType.Multiple, HelpText = "An array of gains associated to each relevance label.", ShortName = "gains")]
LightGbmTrainerBase.cs (2)
133[Argument(ArgumentType.Multiple, 260[Argument(ArgumentType.Multiple, HelpText = "Parallel LightGBM Learning Algorithm", ShortName = "parag")]
Microsoft.ML.Maml (2)
ChainCommand.cs (1)
25[Argument(ArgumentType.Multiple, HelpText = "Command", Name = "Command", ShortName = "cmd", SignatureType = typeof(SignatureCommand))]
HelpCommand.cs (1)
54[Argument(ArgumentType.Multiple, HelpText = "Extra DLLs", ShortName = "dll")]
Microsoft.ML.Mkl.Components (1)
VectorWhitening.cs (1)
54[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "New column definition(s) (optional form: name:src)", Name = "Column", ShortName = "col", SortOrder = 1)]
Microsoft.ML.OnnxTransformer (4)
OnnxTransform.cs (4)
67[Argument(ArgumentType.Multiple, HelpText = "Shape of the column")] 76[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "Name of the input column.", SortOrder = 1)] 79[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "Name of the output column.", SortOrder = 2)] 88[Argument(ArgumentType.Multiple, HelpText = "Shapes used to overwrite shapes loaded from ONNX file.", SortOrder = 5)]
Microsoft.ML.Parquet (2)
PartitionedFileLoader.cs (1)
80[Argument(ArgumentType.Multiple, HelpText = "The data loader.", SignatureType = typeof(SignatureDataLoader))]
PartitionedPathParser.cs (1)
80[Argument(ArgumentType.Multiple, HelpText = "Column definitions used to override the Partitioned Path Parser. Expected with the format name:type:numeric-source, for example, col=MyFeature:R4:1",
Microsoft.ML.PCA (3)
PcaTransformer.cs (3)
40[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "New column definition(s) (optional form: name:src)", Name = "Column", ShortName = "col", SortOrder = 1)] 43[Argument(ArgumentType.Multiple, HelpText = "The name of the weight column", ShortName = "weight", Purpose = SpecialPurpose.ColumnName)] 61[Argument(ArgumentType.Multiple, HelpText = "The name of the weight column", ShortName = "weight")]
Microsoft.ML.Predictor.Tests (9)
CmdLine\CmdLine.cs (6)
186[Argument(ArgumentType.Multiple)] 189[Argument(ArgumentType.Multiple)] 198[Argument(ArgumentType.Multiple, SignatureType = typeof(SignatureDataSaver))] 204[Argument(ArgumentType.Multiple, SignatureType = typeof(SignatureDataSaver))] 207[Argument(ArgumentType.Multiple, SignatureType = typeof(SignatureDataSaver))] 210[Argument(ArgumentType.Multiple)]
CmdLine\CmdLineReverseTest.cs (3)
123[Argument(ArgumentType.Multiple, SignatureType = typeof(SignatureSimpleComponent))] 126[Argument(ArgumentType.Multiple, SignatureType = typeof(SignatureSimpleComponent))] 129[Argument(ArgumentType.Multiple, SignatureType = typeof(SignatureSimpleComponent))]
Microsoft.ML.ResultProcessor (4)
ResultProcessor.cs (4)
308[DefaultArgument(ArgumentType.Multiple, HelpText = "Result file pattern")] 320[Argument(ArgumentType.Multiple, HelpText = "Which metrics should be processed (default=all)?", ShortName = "a")] 336[Argument(ArgumentType.Multiple, HelpText = "Extra DLLs", ShortName = "dll")] 341[Argument(ArgumentType.Multiple, HelpText = "Result file pattern with customized tag", ShortName = "in")]
Microsoft.ML.StandardTrainers (12)
FactorizationMachine\FactorizationMachineTrainer.cs (1)
153[Argument(ArgumentType.Multiple, HelpText = "Extra columns to use for feature vectors. The i-th specified string denotes the column containing features form the (i+1)-th field." +
Standard\MulticlassClassification\MetaMulticlassTrainer.cs (3)
23[Argument(ArgumentType.Multiple, HelpText = "Base predictor", ShortName = "p", SortOrder = 4, SignatureType = typeof(SignatureBinaryClassifierTrainer))] 27[Argument(ArgumentType.Multiple, HelpText = "Output calibrator", ShortName = "cali", SortOrder = 150, NullName = "<None>", SignatureType = typeof(SignatureCalibrator))] 33[Argument(ArgumentType.Multiple, HelpText = "Whether to treat missing labels as having negative labels, or exclude their rows from dataview.", SortOrder = 150, ShortName = "missNeg")]
Standard\Online\AveragedPerceptron.cs (1)
99[Argument(ArgumentType.Multiple, Name = "LossFunction", HelpText = "Loss Function", ShortName = "loss", SortOrder = 50)]
Standard\Online\OnlineGradientDescent.cs (1)
72[Argument(ArgumentType.Multiple, Name = "LossFunction", HelpText = "Loss Function", ShortName = "loss", SortOrder = 50)]
Standard\SdcaBinary.cs (4)
1690[Argument(ArgumentType.Multiple, Name = "LossFunction", HelpText = "Loss Function", ShortName = "loss", SortOrder = 50)] 1762[Argument(ArgumentType.Multiple, HelpText = "Loss Function", ShortName = "loss", SortOrder = 50)] 2362[Argument(ArgumentType.Multiple, HelpText = "Loss Function", ShortName = "loss", SortOrder = 50)] 2415[Argument(ArgumentType.Multiple, HelpText = "Loss Function", ShortName = "loss", SortOrder = 50)]
Standard\SdcaMulticlass.cs (1)
99[Argument(ArgumentType.Multiple, Name = "LossFunction", HelpText = "Loss Function", ShortName = "loss", SortOrder = 50)]
Standard\SdcaRegression.cs (1)
72[Argument(ArgumentType.Multiple, Name = "LossFunction", HelpText = "Loss Function", ShortName = "loss", SortOrder = 50)]
Microsoft.ML.Sweeper (9)
Algorithms\Grid.cs (1)
32[Argument(ArgumentType.Multiple, HelpText = "Swept parameters", ShortName = "p", SignatureType = typeof(SignatureSweeperParameter))]
Algorithms\KdoSweeper.cs (1)
41[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "Swept parameters", ShortName = "p", SignatureType = typeof(SignatureSweeperParameter))]
Algorithms\NelderMead.cs (1)
23[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "Swept parameters", ShortName = "p", SignatureType = typeof(SignatureSweeperParameter))]
Algorithms\SmacSweeper.cs (1)
28[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "Swept parameters", ShortName = "p", SignatureType = typeof(SignatureSweeperParameter))]
AsyncSweeper.cs (1)
155[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "Base sweeper", ShortName = "sweeper", SignatureType = typeof(SignatureSweeper))]
ConfigRunner.cs (1)
47[Argument(ArgumentType.Multiple, HelpText = "Specify how to extract the metrics from the result file.", ShortName = "ev", SignatureType = typeof(SignatureSweepResultEvaluator))]
Parameters.cs (1)
65[Argument(ArgumentType.Multiple, HelpText = "Values", ShortName = "v")]
SweepCommand.cs (2)
26[Argument(ArgumentType.Multiple, HelpText = "Config runner", ShortName = "run,ev,evaluator", SignatureType = typeof(SignatureConfigRunner))] 30[Argument(ArgumentType.Multiple, HelpText = "Sweeper", ShortName = "s", SignatureType = typeof(SignatureSweeper))]
Microsoft.ML.TensorFlow (2)
TensorflowTransform.cs (2)
943[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "The names of the model inputs", ShortName = "inputs", SortOrder = 1)] 949[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "The name of the outputs", ShortName = "outputs", SortOrder = 2)]
Microsoft.ML.Transforms (57)
CountFeatureSelection.cs (1)
83[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "Columns to use for feature selection", Name = "Column", ShortName = "col", SortOrder = 1)]
Dracula\CountTableTransformer.cs (3)
356[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "New column definition(s) (optional form: name:src)", ShortName = "col", SortOrder = 1)] 359[Argument(ArgumentType.Multiple, HelpText = "Count table settings", ShortName = "table", SignatureType = typeof(SignatureCountTableBuilder))] 383[Argument(ArgumentType.Multiple, HelpText = "Count table settings", ShortName = "table", SignatureType = typeof(SignatureCountTableBuilder))]
Dracula\CountTargetEncodingTransformer.cs (3)
56[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "New column definition(s) (optional form: name:src)", 60[Argument(ArgumentType.Multiple, HelpText = "Count table settings", ShortName = "table", SignatureType = typeof(SignatureCountTableBuilder))] 94[Argument(ArgumentType.Multiple, HelpText = "Count table settings", ShortName = "table", SignatureType = typeof(SignatureCountTableBuilder))]
ExpressionTransformer.cs (1)
216[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "New column definition(s)", ShortName = "col", SortOrder = 1)]
GcnTransform.cs (2)
45[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "New column definition(s) (optional form: name:src)", Name = "Column", ShortName = "col", SortOrder = 1)] 57[Argument(ArgumentType.Multiple, HelpText = "New column definition(s) (optional form: name:src)", Name = "Column", ShortName = "col", SortOrder = 1)]
GroupTransform.cs (2)
87[Argument(ArgumentType.Multiple, HelpText = "Columns to group by", Name = "GroupKey", ShortName = "g", SortOrder = 1, 92[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "Columns to group together", Name = "Column", ShortName = "col", SortOrder = 2)]
HashJoiningTransform.cs (1)
49[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "New column definition(s) (optional form: name:src)",
KeyToVectorMapping.cs (1)
37[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "New column definition(s) (optional form: name:src)",
LearnerFeatureSelection.cs (1)
40[Argument(ArgumentType.Multiple, HelpText = "Filter", ShortName = "f", SortOrder = 1, SignatureType = typeof(SignatureFeatureScorerTrainer))]
LoadTransform.cs (1)
35[Argument(ArgumentType.Multiple, HelpText = "The tags (comma-separated) to be loaded (or omitted, if " + nameof(Complement) + "+)",
MissingValueDroppingTransformer.cs (1)
63[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "Columns to drop the NAs for", Name = "Column", ShortName = "col", SortOrder = 1)]
MissingValueHandlingTransformer.cs (1)
59[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "New column definition(s) (optional form: name:rep:src)", Name = "Column", ShortName = "col", SortOrder = 1)]
MissingValueIndicatorTransform.cs (1)
45[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "New column definition(s) (optional form: name:src)", Name = "Column", ShortName = "col", SortOrder = 1)]
MissingValueIndicatorTransformer.cs (1)
57[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "New column definition(s) (optional form: name:src)", Name = "Column", ShortName = "col", SortOrder = 1)]
MissingValueReplacing.cs (1)
118[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "New column definition(s) (optional form: name:rep:src)", Name = "Column", ShortName = "col", SortOrder = 1)]
MutualInformationFeatureSelection.cs (1)
91[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "Columns to use for feature selection", Name = "Column", ShortName = "col", SortOrder = 1)]
OneHotEncoding.cs (1)
74[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "New column definition(s) (optional form: name:src)", Name = "Column", ShortName = "col", SortOrder = 1)]
OneHotHashEncoding.cs (1)
91[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "New column definition(s) (optional form: name:numberOfBits:src)", Name = "Column", ShortName = "col", SortOrder = 1)]
OptionalColumnTransform.cs (1)
37[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "New column definition(s)", Name = "Column", ShortName = "col", SortOrder = 1)]
RandomFourierFeaturizing.cs (3)
38[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "New column definition(s) (optional form: name:src)", Name = "Column", ShortName = "col", SortOrder = 1)] 44[Argument(ArgumentType.Multiple, HelpText = "Which kernel to use?", ShortName = "kernel", SignatureType = typeof(SignatureKernelBase))] 61[Argument(ArgumentType.Multiple, HelpText = "which kernel to use?", ShortName = "kernel", SignatureType = typeof(SignatureKernelBase))]
SvmLight\SvmLightLoader.cs (1)
91[Argument(ArgumentType.Multiple, HelpText = "Whether the features are indexed by numbers starting at 0, by numbers starting at 1, or by feature names.", ShortName = "indices")]
Text\LdaTransform.cs (3)
56[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "New column definition(s) (optional form: name:srcs)", Name = "Column", ShortName = "col", SortOrder = 49)] 74[Argument(ArgumentType.Multiple, HelpText = "Number of Metropolis Hasting step")] 120[Argument(ArgumentType.Multiple, HelpText = "Number of Metropolis Hasting step")]
Text\NgramHashingTransformer.cs (1)
112[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "New column definition(s) (optional form: name:numberOfBits:src)",
Text\NgramTransform.cs (3)
52[Argument(ArgumentType.Multiple, HelpText = "Maximum number of n-grams to store in the dictionary", ShortName = "max")] 79[Argument(ArgumentType.Multiple, HelpText = "New column definition(s) (optional form: name:src)", Name = "Column", ShortName = "col", SortOrder = 1)] 94[Argument(ArgumentType.Multiple, HelpText = "Maximum number of n-grams to store in the dictionary", ShortName = "max")]
Text\StopWordsRemovingTransformer.cs (3)
100[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "New column definition(s)", Name = "Column", ShortName = "col", SortOrder = 1)] 718[Argument(ArgumentType.Multiple, HelpText = "Data loader", NullName = "<Auto>", SortOrder = 3, Visibility = ArgumentAttribute.VisibilityType.CmdLineOnly, SignatureType = typeof(SignatureDataLoader))] 727[Argument(ArgumentType.Multiple, HelpText = "New column definition(s)", Name = "Column", ShortName = "col", SortOrder = 1)]
Text\TextFeaturizingEstimator.cs (4)
134[Argument(ArgumentType.Multiple, Name = "StopWordsRemover", HelpText = "Stopwords remover.", ShortName = "remover", NullName = "<None>", SortOrder = 4)] 200[Argument(ArgumentType.Multiple, HelpText = "A dictionary of allowed terms.", ShortName = "dict", NullName = "<None>", SortOrder = 10, Hide = true)] 204[Argument(ArgumentType.Multiple, Name = "WordFeatureExtractor", HelpText = "Ngram feature extractor to use for words (WordBag/WordHashBag).", ShortName = "wordExtractor", NullName = "<None>", SortOrder = 11)] 245[Argument(ArgumentType.Multiple, Name = "CharFeatureExtractor", HelpText = "Ngram feature extractor to use for characters (WordBag/WordHashBag).", ShortName = "charExtractor", NullName = "<None>", SortOrder = 12)]
Text\TextNormalizing.cs (1)
56[Argument(ArgumentType.Multiple, HelpText = "New column definition(s)", Name = "Column", ShortName = "col", SortOrder = 1)]
Text\TokenizingByCharacters.cs (2)
56[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "New column definition(s) (optional form: name:src)", Name = "Column", ShortName = "col", SortOrder = 1)] 59[Argument(ArgumentType.Multiple, HelpText = "Whether to mark the beginning/end of each row/slot with start of text character (0x02)/end of text character (0x03)",
Text\WordBagTransform.cs (6)
71[Argument(ArgumentType.Multiple, HelpText = "Maximum number of n-grams to store in the dictionary", ShortName = "max")] 101[Argument(ArgumentType.Multiple, HelpText = "New column definition(s) (optional form: name:srcs)", Name = "Column", ShortName = "col", SortOrder = 1)] 375[Argument(ArgumentType.Multiple, HelpText = "Maximum number of n-grams to store in the dictionary", ShortName = "max")] 422[Argument(ArgumentType.Multiple, HelpText = "Maximum number of n-grams to store in the dictionary", ShortName = "max")] 448[Argument(ArgumentType.Multiple, HelpText = "New column definition(s) (optional form: name:src)", Name = "Column", ShortName = "col", SortOrder = 1)] 597[Argument(ArgumentType.Multiple, HelpText = "Data loader", NullName = "<Auto>", SortOrder = 3, Visibility = ArgumentAttribute.VisibilityType.CmdLineOnly, SignatureType = typeof(SignatureDataLoader))]
Text\WordEmbeddingsExtractor.cs (1)
61[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "New column definition(s) (optional form: name:src)", Name = "Column", ShortName = "col", SortOrder = 0)]
Text\WordHashBagProducingTransform.cs (2)
77[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "New column definition(s) (optional form: name:numberOfBits:srcs)", 314[Argument(ArgumentType.Multiple, HelpText = "New column definition(s) (optional form: name:srcs)", Name = "Column", ShortName = "col", SortOrder = 1)]
Text\WordTokenizing.cs (1)
83[Argument(ArgumentType.Multiple, HelpText = "New column definition(s)", Name = "Column", ShortName = "col", SortOrder = 1)]
UngroupTransform.cs (1)
88[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "Columns to unroll, or 'pivot'", Name = "Column", ShortName = "col")]
Microsoft.ML.Vision (2)
DnnRetrainTransform.cs (2)
1127[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "The names of the model inputs", ShortName = "inputs", SortOrder = 1)] 1133[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "The name of the outputs", ShortName = "outputs", SortOrder = 2)]