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Apr 19, 2019
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XML documentation for FastForest regression trainer. #3411

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XML documentation for FastForest regression trainer.
codemzs Apr 18, 2019
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codemzs Apr 19, 2019
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26 changes: 24 additions & 2 deletions src/Microsoft.ML.FastTree/RandomForestRegression.cs
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Expand Up @@ -244,12 +244,34 @@ ISchemaBindableMapper IQuantileRegressionPredictor.CreateMapper(Double[] quantil
/// <summary>
/// The <see cref="IEstimator{TTransformer}"/> for training a decision tree regression model using Fast Forest.
/// </summary>
/// <include file='doc.xml' path='doc/members/member[@name="FastForest_remarks"]/*' />
/// <remarks>
/// <format type="text/markdown"><![CDATA[
/// To create this trainer, use [FastForest](xref:Microsoft.ML.TreeExtensions.FastForest(Microsoft.ML.RegressionCatalog.RegressionTrainers,System.String,System.String,System.String,System.Int32,System.Int32,System.Int32))
/// or [FastForest(Options)](xref:Microsoft.ML.TreeExtensions.FastForest(Microsoft.ML.RegressionCatalog.RegressionTrainers,Microsoft.ML.Trainers.FastTree.FastForestRegressionTrainer.Options)).
///
/// [!include[io](~/../docs/samples/docs/api-reference/io-columns-regression.md)]
///
/// ### Trainer Characteristics
/// | | |
/// | -- | -- |
/// | Machine learning task | Regression |
/// | Is normalization required? | Yes |
/// | Is caching required? | No |
/// | Required NuGet in addition to Microsoft.ML | Microsoft.ML.FastTree |
///
/// [!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-fastforest.md)]
/// ]]>
/// </format>
/// </remarks>
/// <seealso cref="Microsoft.ML.TreeExtensions.FastForest(Microsoft.ML.RegressionCatalog.RegressionTrainers,System.String,System.String,System.String,System.Int32,System.Int32,System.Int32)"/>
/// <seealso cref="Microsoft.ML.TreeExtensions.FastForest(Microsoft.ML.RegressionCatalog.RegressionTrainers,Microsoft.ML.Trainers.FastTree.FastForestRegressionTrainer.Options)"/>
/// <seealso cref="Options"/>
public sealed partial class FastForestRegressionTrainer
: RandomForestTrainerBase<FastForestRegressionTrainer.Options, RegressionPredictionTransformer<FastForestRegressionModelParameters>, FastForestRegressionModelParameters>
{
/// <summary>
/// Options for the <see cref="FastForestRegressionTrainer"/>.
/// Options for the <see cref="FastForestRegressionTrainer"/> as used in
/// [FastForest(Options)](xref:Microsoft.ML.TreeExtensions.FastForest(Microsoft.ML.RegressionCatalog.RegressionTrainers,Microsoft.ML.Trainers.FastTree.FastForestRegressionTrainer.Options)).
/// </summary>
public sealed class Options : FastForestOptionsBase
{
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8 changes: 4 additions & 4 deletions src/Microsoft.ML.FastTree/TreeTrainersCatalog.cs
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Expand Up @@ -332,11 +332,11 @@ public static FastTreeTweedieTrainer FastTreeTweedie(this RegressionCatalog.Regr
}

/// <summary>
/// Predict a target using a decision tree regression model trained with the <see cref="FastForestRegressionTrainer"/>.
/// Create <see cref="FastForestRegressionTrainer"/>, which predicts a target using a decision tree regression model.
/// </summary>
/// <param name="catalog">The <see cref="RegressionCatalog"/>.</param>
/// <param name="labelColumnName">The name of the label column.</param>
/// <param name="featureColumnName">The name of the feature column.</param>
/// <param name="labelColumnName">The name of the label column. The column data must be <see cref="System.Single"/></param>
/// <param name="featureColumnName">The name of the feature column. The column data must be a known-sized vector of <see cref="System.Single"/></param>
/// <param name="exampleWeightColumnName">The name of the example weight column (optional).</param>
/// <param name="numberOfLeaves">The maximum number of leaves per decision tree.</param>
/// <param name="numberOfTrees">Total number of decision trees to create in the ensemble.</param>
Expand All @@ -362,7 +362,7 @@ public static FastForestRegressionTrainer FastForest(this RegressionCatalog.Regr
}

/// <summary>
/// Predict a target using a decision tree regression model trained with the <see cref="FastForestRegressionTrainer"/> and advanced options.
/// Create <see cref="FastForestRegressionTrainer"/> with advanced options, which predicts a target using a decision tree regression model.
/// </summary>
/// <param name="catalog">The <see cref="RegressionCatalog"/>.</param>
/// <param name="options">Trainer options.</param>
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