30 writes to Desc
Microsoft.ML.Data (8)
Prediction\Calibrator.cs (1)
1461
[TlcModule.Component(Name = "PlattCalibrator", FriendlyName = "Platt Calibrator", Aliases = new[] { "Platt", "Sigmoid" },
Desc
= "Platt calibration.")]
Utils\LossFunctions.cs (7)
99
Desc
= "Log loss.")]
208
[TlcModule.Component(Name = "HingeLoss", FriendlyName = "Hinge loss", Alias = "Hinge",
Desc
= "Hinge loss.")]
308
Desc
= "Smoothed Hinge loss.")]
424
[TlcModule.Component(Name = "ExpLoss", FriendlyName = "Exponential Loss",
Desc
= "Exponential loss.")]
461
[TlcModule.Component(Name = "SquaredLoss", FriendlyName = "Squared Loss", Alias = "L2",
Desc
= "Squared loss.")]
518
[TlcModule.Component(Name = "PoissonLoss", FriendlyName = "Poisson Loss",
Desc
= "Poisson loss.")]
579
[TlcModule.Component(Name = "TweedieLoss", FriendlyName = "Tweedie Loss", Alias = "tweedie",
Desc
= "Tweedie loss.")]
Microsoft.ML.FastTree (10)
FastTreeArguments.cs (4)
62
[TlcModule.Component(Name = LoadNameValue, FriendlyName = UserNameValue,
Desc
= Summary)]
118
[TlcModule.Component(Name = LoadNameValue, FriendlyName = UserNameValue,
Desc
= Summary)]
162
[TlcModule.Component(Name = LoadNameValue, FriendlyName = UserNameValue,
Desc
= Summary)]
221
[TlcModule.Component(Name = LoadNameValue, FriendlyName = UserNameValue,
Desc
= Summary)]
Training\EarlyStoppingCriteria.cs (5)
119
[TlcModule.Component(FriendlyName = "Tolerant (TR)", Name = "TR",
Desc
= "Stop if validation score exceeds threshold value.")]
287
Desc
= "Stop in case of loss of generality.")]
352
[TlcModule.Component(FriendlyName = "Low Progress (LP)", Name = "LP",
Desc
= "Stops in case of low progress.")]
412
[TlcModule.Component(FriendlyName = "Generality to Progress Ratio (PQ)", Name = "PQ",
Desc
= "Stops in case of generality to progress ration exceeds threshold.")]
471
Desc
= "Stops in case of consecutive loss in generality.")]
Training\Parallel\SingleTrainer.cs (1)
97
[TlcModule.Component(Name = "Single",
Desc
= "Single node machine learning process.")]
Microsoft.ML.LightGbm (4)
LightGbmArguments.cs (3)
215
[TlcModule.Component(Name = Name, FriendlyName = FriendlyName,
Desc
= "Traditional Gradient Boosting Decision Tree.")]
245
[TlcModule.Component(Name = Name, FriendlyName = FriendlyName,
Desc
= "Dropouts meet Multiple Additive Regresion Trees. See https://arxiv.org/abs/1505.01866")]
321
[TlcModule.Component(Name = Name, FriendlyName = FriendlyName,
Desc
= "Gradient-based One-Side Sampling.")]
Parallel\SingleTrainer.cs (1)
50
[TlcModule.Component(Name = "Single",
Desc
= "Single node machine learning process.")]
Microsoft.ML.Parquet (2)
PartitionedPathParser.cs (2)
77
Desc
= SimplePartitionedPathParser.Summary, Alias = SimplePartitionedPathParser.ShortName)]
198
Desc
= ParquetPartitionedPathParser.Summary, Alias = ParquetPartitionedPathParser.ShortName)]
Microsoft.ML.Transforms (6)
Dracula\CMCountTable.cs (1)
178
Desc
= "Create the count table using the count-min sketch structure, which has a smaller memory footprint, at the expense of" +
Dracula\DictCountTable.cs (1)
139
Desc
= "Build a dictionary containing the exact count of each categorical feature value.")]
Text\StopWordsRemovingTransformer.cs (2)
55
Desc
= "Remover with predefined list of stop words.")]
732
Desc
= "Remover with list of stopwords specified by the user.")]
Text\WordBagTransform.cs (1)
437
Desc
= "Extracts NGrams from text and convert them to vector using dictionary.")]
Text\WordHashBagProducingTransform.cs (1)
303
Desc
= "Extracts NGrams from text and convert them to vector using hashing trick.")]
1 reference to Desc
Microsoft.ML.Core (1)
ComponentModel\ComponentCatalog.cs (1)
413
Description = attribute.
Desc
;