188 references to Required
Microsoft.ML.Core (5)
CommandLine\ArgumentAttribute.cs (2)
99
public bool IsRequired => ArgumentType.
Required
== (Type & ArgumentType.
Required
);
CommandLine\CmdParser.cs (3)
1241
get { return ArgumentType.
Required
== (Kind & ArgumentType.
Required
); }
2250
get { 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)]