188 references to Required
Microsoft.ML.Core (5)
CommandLine\ArgumentAttribute.cs (2)
99public bool IsRequired => ArgumentType.Required == (Type & ArgumentType.Required);
CommandLine\CmdParser.cs (3)
1241get { return ArgumentType.Required == (Kind & ArgumentType.Required); } 2250get { return 0 != (Kind & ArgumentType.Required); }
Microsoft.ML.Data (25)
DataLoadSave\Database\DatabaseLoader.cs (1)
306[Argument(ArgumentType.Required, HelpText = "First index in the range")]
DataLoadSave\Text\TextLoader.cs (1)
305[Argument(ArgumentType.Required, HelpText = "First index in the range")]
Dirty\ChooseColumnsByIndexTransform.cs (1)
27[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "Column indices to select", Name = "Index", ShortName = "ind")]
EntryPoints\InputBase.cs (1)
31[Argument(ArgumentType.Required, ShortName = "data", HelpText = "The data to be used for evaluation.", SortOrder = 1, Visibility = ArgumentAttribute.VisibilityType.EntryPointsOnly)]
EntryPoints\SummarizePredictor.cs (1)
23[Argument(ArgumentType.Required, ShortName = "predictorModel", HelpText = "The predictor to summarize")]
Prediction\Calibrator.cs (2)
2130[Argument(ArgumentType.Required, ShortName = "uncalibratedPredictorModel", HelpText = "The predictor to calibrate", SortOrder = 2)] 2133[Argument(ArgumentType.Required, ShortName = "maxRows", HelpText = "The maximum number of examples to train the calibrator on", SortOrder = 3)]
Training\TrainerInputBase.cs (1)
26[Argument(ArgumentType.Required, ShortName = "data", HelpText = "The data to be used for training", SortOrder = 1, Visibility = ArgumentAttribute.VisibilityType.EntryPointsOnly)]
Transforms\ColumnConcatenatingTransformer.cs (1)
120[Argument(ArgumentType.Multiple | ArgumentType.Required, 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\FeatureContributionCalculationTransformer.cs (1)
35[Argument(ArgumentType.Required, HelpText = "The predictor model to apply to data", SortOrder = 1)]
Transforms\GenerateNumberTransform.cs (1)
89[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "New column definition(s) (optional form: name:seed)",
Transforms\KeyToValue.cs (1)
59[Argument(ArgumentType.Multiple | ArgumentType.Required, 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\NAFilter.cs (1)
38[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "Column", Name = "Column", ShortName = "col", SortOrder = 1)]
Transforms\NormalizeColumn.cs (2)
173[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "New column definition(s) (optional form: name:src)", Name = "Column", ShortName = "col", SortOrder = 1)] 246[Argument(ArgumentType.Required, HelpText = "Label column for supervised binning", ShortName = "label,lab",
Transforms\RangeFilter.cs (1)
35[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "Column", ShortName = "col", SortOrder = 1, Purpose = SpecialPurpose.ColumnName)]
Transforms\SkipTakeFilter.cs (2)
64[Argument(ArgumentType.Required, HelpText = Options.TakeHelp, ShortName = "c,n,t", SortOrder = 1)] 70[Argument(ArgumentType.Required, HelpText = Options.SkipHelp, ShortName = "c,n,s", SortOrder = 1)]
Transforms\SlotsDroppingTransformer.cs (2)
43[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "Columns to drop the slots for", 119[Argument(ArgumentType.Required, HelpText = "First index in the range")]
Transforms\TransformInputBase.cs (1)
23[Argument(ArgumentType.Required, HelpText = "Input dataset", Visibility = ArgumentAttribute.VisibilityType.EntryPointsOnly, SortOrder = 1)]
Transforms\TypeConverting.cs (1)
132[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "New column definition(s) (optional form: name:type:src)", Name = "Column", ShortName = "col", SortOrder = 1)]
Transforms\ValueMapping.cs (1)
410[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "New column definition(s) (optional form: name:src)", Name = "Column", ShortName = "col", SortOrder = 1)]
Microsoft.ML.Ensemble (2)
EntryPoints\CreateEnsemble.cs (2)
47[Argument(ArgumentType.Required, ShortName = "models", HelpText = "The models to combine into an ensemble", SortOrder = 1)] 53[Argument(ArgumentType.Required, ShortName = "models", HelpText = "The models to combine into an ensemble", SortOrder = 1)]
Microsoft.ML.EntryPoints (39)
CrossValidationMacro.cs (7)
28[Argument(ArgumentType.Required, HelpText = "The data to be used for training", SortOrder = 1)] 43[Argument(ArgumentType.Required, HelpText = "The data set", SortOrder = 1)] 53[Argument(ArgumentType.Required, HelpText = "The training subgraph", SortOrder = 3)] 58[Argument(ArgumentType.Required, HelpText = "The training subgraph inputs", SortOrder = 4)] 63[Argument(ArgumentType.Required, HelpText = "The training subgraph outputs", SortOrder = 5)] 77[Argument(ArgumentType.Required, HelpText = "Specifies the trainer kind, which determines the evaluator to be used.", SortOrder = 8)] 140[Argument(ArgumentType.Required, HelpText = "Specifies the trainer kind, which determines the evaluator to be used.", SortOrder = 5)]
CVSplit.cs (1)
24[Argument(ArgumentType.Required, HelpText = "Input dataset", SortOrder = 1)]
DataViewReference.cs (1)
18[Argument(ArgumentType.Required, HelpText = "Pointer to IDataView in memory", SortOrder = 1)]
FeatureCombiner.cs (2)
207[Argument(ArgumentType.Required, HelpText = "The label column", SortOrder = 2)] 223[Argument(ArgumentType.Required, HelpText = "The predicted label column", SortOrder = 2)]
ImportTextData.cs (3)
22[Argument(ArgumentType.Required, ShortName = "data", HelpText = "Location of the input file", SortOrder = 1)] 48[Argument(ArgumentType.Required, ShortName = "data", HelpText = "Location of the input file", SortOrder = 1)] 51[Argument(ArgumentType.Required, ShortName = "args", HelpText = "Arguments", SortOrder = 2)]
JsonUtils\ExecuteGraphCommand.cs (1)
27[DefaultArgument(ArgumentType.Required, HelpText = "Path to the graph to run")]
MacroUtils.cs (2)
78[Argument(ArgumentType.Required, HelpText = "The models", SortOrder = 1)] 100[Argument(ArgumentType.Required, HelpText = "The data sets", SortOrder = 1)]
ModelOperations.cs (5)
34[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "Transform model", SortOrder = 1)] 37[Argument(ArgumentType.Required, HelpText = "Predictor model", SortOrder = 2)] 43[Argument(ArgumentType.Required, HelpText = "Transform model", SortOrder = 1)] 46[Argument(ArgumentType.Required, HelpText = "Predictor model", SortOrder = 2)] 73[Argument(ArgumentType.Required, HelpText = "Transform model", SortOrder = 2)]
OneVersusAllMacro.cs (3)
27[Argument(ArgumentType.Required, HelpText = "The predictor model for the subgraph exemplar.", SortOrder = 1)] 35[Argument(ArgumentType.Required, HelpText = "The subgraph for the binary trainer used to construct the OVA learner. This should be a TrainBinary node.", SortOrder = 1)] 38[Argument(ArgumentType.Required, HelpText = "The training subgraph output.", SortOrder = 2)]
PermutationFeatureImportance.cs (1)
44[Argument(ArgumentType.Required, HelpText = "The path to the model file", ShortName = "path", Visibility = ArgumentAttribute.VisibilityType.EntryPointsOnly)]
ScoreColumnSelector.cs (1)
60[Argument(ArgumentType.Required, HelpText = "The predictor model used in scoring", SortOrder = 2)]
ScoreModel.cs (5)
27[Argument(ArgumentType.Required, HelpText = "The dataset to be scored", SortOrder = 1)] 30[Argument(ArgumentType.Required, HelpText = "The predictor model to apply to data", SortOrder = 2)] 39[Argument(ArgumentType.Required, HelpText = "The dataset to be scored", SortOrder = 1)] 42[Argument(ArgumentType.Required, HelpText = "The transform model to apply to data", SortOrder = 2)] 57[Argument(ArgumentType.Required, HelpText = "The predictor model to turn into a transform", SortOrder = 1)]
TrainTestMacro.cs (6)
22[Argument(ArgumentType.Required, HelpText = "The data to be used for training", SortOrder = 1)] 35[Argument(ArgumentType.Required, ShortName = "train", HelpText = "The data to be used for training", SortOrder = 1)] 39[Argument(ArgumentType.Required, ShortName = "test", HelpText = "The data to be used for testing", SortOrder = 2)] 46[Argument(ArgumentType.Required, HelpText = "The training subgraph", SortOrder = 4)] 49[Argument(ArgumentType.Required, HelpText = "The training subgraph inputs", SortOrder = 5)] 52[Argument(ArgumentType.Required, HelpText = "The training subgraph outputs", SortOrder = 6)]
TrainTestSplit.cs (1)
20[Argument(ArgumentType.Required, HelpText = "Input dataset", SortOrder = 1)]
Microsoft.ML.FastTree (1)
TreeEnsembleFeaturizer.cs (1)
571[Argument(ArgumentType.Required, HelpText = "Trainer to use", SortOrder = 10, Visibility = ArgumentAttribute.VisibilityType.EntryPointsOnly)]
Microsoft.ML.ImageAnalytics (7)
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 (3)
72[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "New column definition(s) (optional form: name:src)", Name = "Column", ShortName = "col", SortOrder = 1)] 75[Argument(ArgumentType.Required, HelpText = "Resized width of the image", ShortName = "width")] 78[Argument(ArgumentType.Required, HelpText = "Resized height of the image", ShortName = "height")]
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.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.OnnxConverter (1)
SaveOnnxCommand.cs (1)
36[Argument(ArgumentType.Required, HelpText = "The path to write the output ONNX to.", SortOrder = 1)]
Microsoft.ML.OnnxTransformer (4)
OnnxTransform.cs (4)
64[Argument(ArgumentType.Required, HelpText = "Name of the column")] 73[Argument(ArgumentType.Required, HelpText = "Path to the onnx model file.", ShortName = "model", SortOrder = 0)] 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)]
Microsoft.ML.Parquet (3)
PartitionedFileLoader.cs (3)
71[Argument(ArgumentType.Required, HelpText = "Base path to the directory of your partitioned files.", ShortName = "bp")] 86[Argument(ArgumentType.Required, HelpText = "Name of the column.")] 92[Argument(ArgumentType.Required, HelpText = "Index of the directory representing this column.")]
Microsoft.ML.PCA (1)
PcaTransformer.cs (1)
40[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "New column definition(s) (optional form: name:src)", Name = "Column", ShortName = "col", SortOrder = 1)]
Microsoft.ML.Predictor.Tests (2)
CmdLine\CmdLine.cs (1)
177[Argument(ArgumentType.Required, ShortName = "r,r2")]
CmdLine\CmdLineReverseTest.cs (1)
105[Argument(ArgumentType.Required, ShortName = "r")]
Microsoft.ML.Sweeper (9)
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))]
Parameters.cs (5)
29[Argument(ArgumentType.Required, HelpText = "Parameter name", ShortName = "n")] 47[Argument(ArgumentType.Required, HelpText = "Minimum value")] 50[Argument(ArgumentType.Required, HelpText = "Maximum value")] 56[Argument(ArgumentType.Required, HelpText = "Minimum value")] 59[Argument(ArgumentType.Required, HelpText = "Maximum value")]
Microsoft.ML.TensorFlow (3)
TensorflowTransform.cs (3)
937[Argument(ArgumentType.Required, HelpText = "TensorFlow model used by the transform. Please see https://www.tensorflow.org/mobile/prepare_models for more details.", SortOrder = 0)] 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.TimeSeries (51)
ExponentialAverageTransform.cs (2)
33[Argument(ArgumentType.Required, HelpText = "The name of the source column", ShortName = "src", 37[Argument(ArgumentType.Required, HelpText = "The name of the new column", ShortName = "name",
IidChangePointDetector.cs (3)
40[Argument(ArgumentType.Required, HelpText = "The name of the source column.", ShortName = "src", 44[Argument(ArgumentType.Required, HelpText = "The name of the new column.", 52[Argument(ArgumentType.Required, HelpText = "The confidence for change point detection in the range [0, 100].",
IidSpikeDetector.cs (3)
39[Argument(ArgumentType.Required, HelpText = "The name of the source column.", ShortName = "src", 43[Argument(ArgumentType.Required, HelpText = "The name of the new column.", 55[Argument(ArgumentType.Required, HelpText = "The confidence for spike detection in the range [0, 100].",
MovingAverageTransform.cs (2)
32[Argument(ArgumentType.Required, HelpText = "The name of the source column", ShortName = "src", 36[Argument(ArgumentType.Required, HelpText = "The name of the new column", ShortName = "name",
PercentileThresholdTransform.cs (2)
33[Argument(ArgumentType.Required, HelpText = "The name of the source column", ShortName = "src", 37[Argument(ArgumentType.Required, HelpText = "The name of the new column", ShortName = "name",
PValueTransform.cs (2)
33[Argument(ArgumentType.Required, HelpText = "The name of the source column", ShortName = "src", 37[Argument(ArgumentType.Required, HelpText = "The name of the new column", ShortName = "name",
SequentialAnomalyDetectionTransformBase.cs (3)
78[Argument(ArgumentType.Required, HelpText = "The name of the source column", ShortName = "src", 82[Argument(ArgumentType.Required, HelpText = "The name of the new column", ShortName = "name", 110[Argument(ArgumentType.Required, HelpText = "The threshold for alerting",
SequentialForecastingTransformBase.cs (4)
21[Argument(ArgumentType.Required, HelpText = "The name of the source column", ShortName = "src", 25[Argument(ArgumentType.Required, HelpText = "The name of the new column", ShortName = "name", 29[Argument(ArgumentType.Required, HelpText = "The name of the confidence interval lower bound column.", ShortName = "cnfminname", 33[Argument(ArgumentType.Required, HelpText = "The name of the confidence interval upper bound column.", ShortName = "cnfmaxnname",
SlidingWindowTransformBase.cs (2)
41[Argument(ArgumentType.Required, HelpText = "The name of the source column", ShortName = "src", 45[Argument(ArgumentType.Required, HelpText = "The name of the new column",
SRCNNAnomalyDetector.cs (7)
39[Argument(ArgumentType.Required, HelpText = "The name of the source column.", ShortName = "src", 43[Argument(ArgumentType.Required, HelpText = "The name of the new column.", 51[Argument(ArgumentType.Required, HelpText = "The number of points to the back of training window.", 55[Argument(ArgumentType.Required, HelpText = "The number of pervious points used in prediction.", 59[Argument(ArgumentType.Required, HelpText = "The size of sliding window to generate a saliency map for the series.", 63[Argument(ArgumentType.Required, HelpText = "The size of sliding window to calculate the anomaly score for each data point.", 67[Argument(ArgumentType.Required, HelpText = "The threshold to determine anomaly, score larger than the threshold is considered as anomaly.",
SrCnnTransformBase.cs (4)
17[Argument(ArgumentType.Required, HelpText = "The name of the source column.", ShortName = "src", 21[Argument(ArgumentType.Required, HelpText = "The name of the new column.", 41[Argument(ArgumentType.Required, HelpText = "The size of sliding window to generate a saliency map for the series.", 45[Argument(ArgumentType.Required, HelpText = "The size of sliding window to generate a saliency map for the series.",
SsaAnomalyDetectionBase.cs (1)
152[Argument(ArgumentType.Required, HelpText = "The inner window size for SSA in [2, windowSize]", ShortName = "swnd", SortOrder = 11)]
SsaChangePointDetector.cs (5)
40[Argument(ArgumentType.Required, HelpText = "The name of the source column.", ShortName = "src", 44[Argument(ArgumentType.Required, HelpText = "The name of the new column.", 52[Argument(ArgumentType.Required, HelpText = "The number of points from the beginning of the sequence used for training.", 56[Argument(ArgumentType.Required, HelpText = "The confidence for change point detection in the range [0, 100].", 60[Argument(ArgumentType.Required, HelpText = "An upper bound on the largest relevant seasonality in the input time-series.", ShortName = "swnd", SortOrder = 5)]
SSaForecasting.cs (6)
38[Argument(ArgumentType.Required, HelpText = "The name of the source column.", ShortName = "src", SortOrder = 1, Purpose = SpecialPurpose.ColumnName)] 41[Argument(ArgumentType.Required, HelpText = "The name of the new column.", SortOrder = 2)] 56[Argument(ArgumentType.Required, HelpText = "The length of the window on the series for building the trajectory matrix (parameter L).", SortOrder = 2)] 78[Argument(ArgumentType.Required, HelpText = "The length of series that is kept in buffer for modeling (parameter N).", SortOrder = 2)] 81[Argument(ArgumentType.Required, HelpText = "The length of series from the beginning used for training.", SortOrder = 2)] 84[Argument(ArgumentType.Required, HelpText = "The number of values to forecast.", SortOrder = 2)]
SsaSpikeDetector.cs (5)
39[Argument(ArgumentType.Required, HelpText = "The name of the source column.", ShortName = "src", 43[Argument(ArgumentType.Required, HelpText = "The name of the new column.", 55[Argument(ArgumentType.Required, HelpText = "The number of points from the beginning of the sequence used for training.", 59[Argument(ArgumentType.Required, HelpText = "The confidence for spike detection in the range [0, 100].", 63[Argument(ArgumentType.Required, HelpText = "An upper bound on the largest relevant seasonality in the input time-series.", ShortName = "swnd", SortOrder = 5)]
Microsoft.ML.Transforms (31)
CountFeatureSelection.cs (2)
83[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "Columns to use for feature selection", Name = "Column", ShortName = "col", SortOrder = 1)] 86[Argument(ArgumentType.Required, HelpText = "If the count of non-default values for a slot is greater than or equal to this threshold, the slot is preserved", ShortName = "c", SortOrder = 1)]
Dracula\CountTableTransformer.cs (2)
356[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "New column definition(s) (optional form: name:src)", ShortName = "col", SortOrder = 1)] 371[Argument(ArgumentType.Required, HelpText = "Label column", ShortName = "label,lab", Purpose = SpecialPurpose.ColumnName)]
Dracula\CountTargetEncodingTransformer.cs (2)
56[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "New column definition(s) (optional form: name:src)", 72[Argument(ArgumentType.Required, HelpText = "Label column", ShortName = "label,lab", Purpose = SpecialPurpose.ColumnName)]
ExpressionTransformer.cs (1)
216[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "New column definition(s)", ShortName = "col", SortOrder = 1)]
GcnTransform.cs (1)
45[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "New column definition(s) (optional form: name:src)", Name = "Column", ShortName = "col", SortOrder = 1)]
GroupTransform.cs (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)",
LoadTransform.cs (1)
31[Argument(ArgumentType.Required, HelpText = "Model file to load the transforms from", ShortName = "in",
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 (1)
38[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "New column definition(s) (optional form: name:src)", Name = "Column", ShortName = "col", SortOrder = 1)]
Text\LdaTransform.cs (1)
56[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "New column definition(s) (optional form: name:srcs)", Name = "Column", ShortName = "col", SortOrder = 49)]
Text\NgramHashingTransformer.cs (1)
112[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "New column definition(s) (optional form: name:numberOfBits:src)",
Text\SentimentAnalyzingTransform.cs (1)
25[Argument(ArgumentType.Required, HelpText = "Name of the source column.", ShortName = "col", Purpose = SpecialPurpose.ColumnName, SortOrder = 1)]
Text\StopWordsRemovingTransformer.cs (1)
100[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "New column definition(s)", Name = "Column", ShortName = "col", SortOrder = 1)]
Text\TextFeaturizingEstimator.cs (1)
128[Argument(ArgumentType.Required, HelpText = "New column definition (optional form: name:srcs).", Name = "Column", ShortName = "col", SortOrder = 1)]
Text\TokenizingByCharacters.cs (1)
56[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "New column definition(s) (optional form: name:src)", Name = "Column", ShortName = "col", SortOrder = 1)]
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 (1)
77[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "New column definition(s) (optional form: name:numberOfBits:srcs)",
UngroupTransform.cs (1)
88[Argument(ArgumentType.Multiple | ArgumentType.Required, HelpText = "Columns to unroll, or 'pivot'", Name = "Column", ShortName = "col")]
Microsoft.ML.Vision (3)
DnnRetrainTransform.cs (3)
1121[Argument(ArgumentType.Required, HelpText = "TensorFlow model used by the transform. Please see https://www.tensorflow.org/mobile/prepare_models for more details.", SortOrder = 0)] 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)]