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Apr 19, 2019
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XML documentation for FastTree regression trainer. #3412

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XML documentation for FastTree regression trainer.
codemzs Apr 18, 2019
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PR feedback.
codemzs Apr 19, 2019
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3 changes: 2 additions & 1 deletion src/Microsoft.ML.FastTree/FastTreeArguments.cs
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Expand Up @@ -111,7 +111,8 @@ public Options()
public sealed partial class FastTreeRegressionTrainer
{
/// <summary>
/// Options for the <see cref="FastTreeRegressionTrainer"/>.
/// Options for the <see cref="FastTreeRegressionTrainer"/> as used in
/// [FastTree(Options)](xref:Microsoft.ML.TreeExtensions.FastTree(Microsoft.ML.RegressionCatalog.RegressionTrainers,Microsoft.ML.Trainers.FastTree.FastTreeRegressionTrainer.Options)).
/// </summary>
[TlcModule.Component(Name = LoadNameValue, FriendlyName = UserNameValue, Desc = Summary)]
public sealed class Options : BoostedTreeOptions, IFastTreeTrainerFactory
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23 changes: 22 additions & 1 deletion src/Microsoft.ML.FastTree/FastTreeRegression.cs
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Expand Up @@ -32,7 +32,28 @@ namespace Microsoft.ML.Trainers.FastTree
/// <summary>
/// The <see cref="IEstimator{TTransformer}"/> for training a decision tree regression model using FastTree.
/// </summary>
/// <include file='doc.xml' path='doc/members/member[@name="FastTree_remarks"]/*' />
/// <remarks>
/// <format type="text/markdown"><![CDATA[
/// To create this trainer, use [FastTree](xref:Microsoft.ML.TreeExtensions.FastTree(Microsoft.ML.RegressionCatalog.RegressionTrainers,System.String,System.String,System.String,System.Int32,System.Int32,System.Int32,System.Double))
/// or [FastTree(Options)](xref:Microsoft.ML.TreeExtensions.FastTree(Microsoft.ML.RegressionCatalog.RegressionTrainers,Microsoft.ML.Trainers.FastTree.FastTreeRegressionTrainer.Options)).
///
/// [!include[io](~/../docs/samples/docs/api-reference/io-columns-regression.md)]
///
/// ### Trainer Characteristics
/// | | |
/// | -- | -- |
/// | Machine learning task | Regression |
/// | Is normalization required? | No |
/// | Is caching required? | No |
/// | Required NuGet in addition to Microsoft.ML | Microsoft.ML.FastTree |
///
/// [!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-fasttree.md)]
/// ]]>
/// </format>
/// </remarks>
/// <seealso cref="Microsoft.ML.TreeExtensions.FastTree(Microsoft.ML.RegressionCatalog.RegressionTrainers,System.String,System.String,System.String,System.Int32,System.Int32,System.Int32,System.Double)"/>
/// <seealso cref="Microsoft.ML.TreeExtensions.FastTree(Microsoft.ML.RegressionCatalog.RegressionTrainers,Microsoft.ML.Trainers.FastTree.FastTreeRegressionTrainer.Options)"/>
/// <seealso cref="Options"/>
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please use intellisense as discussed

public sealed partial class FastTreeRegressionTrainer
: BoostingFastTreeTrainerBase<FastTreeRegressionTrainer.Options, RegressionPredictionTransformer<FastTreeRegressionModelParameters>, FastTreeRegressionModelParameters>
{
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8 changes: 4 additions & 4 deletions src/Microsoft.ML.FastTree/TreeTrainersCatalog.cs
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Expand Up @@ -14,11 +14,11 @@ namespace Microsoft.ML
public static class TreeExtensions
{
/// <summary>
/// Predict a target using a decision tree regression model trained with the <see cref="FastTreeRegressionTrainer"/>.
/// Create <see cref="FastTreeRegressionTrainer"/>, 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="numberOfTrees">Total number of decision trees to create in the ensemble.</param>
/// <param name="numberOfLeaves">The maximum number of leaves per decision tree.</param>
Expand Down Expand Up @@ -46,7 +46,7 @@ public static FastTreeRegressionTrainer FastTree(this RegressionCatalog.Regressi
}

/// <summary>
/// Predict a target using a decision tree regression model trained with the <see cref="FastTreeRegressionTrainer"/>.
/// Create <see cref="FastTreeRegressionTrainer"/> 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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