@@ -3966,7 +3966,7 @@ public sealed partial class FastForestBinaryClassifier : Microsoft.ML.Runtime.En
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public int MinDocumentsInLeafs { get; set; } = 10;
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/// <summary>
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- /// Number of weak hypotheses in the ensemble
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+ /// Total number of decision trees to create in the ensemble
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/// </summary>
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[TlcModule.SweepableDiscreteParamAttribute("NumTrees", new object[]{20, 100, 500})]
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public int NumTrees { get; set; } = 100;
@@ -4248,7 +4248,7 @@ public sealed partial class FastForestRegressor : Microsoft.ML.Runtime.EntryPoin
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public int MinDocumentsInLeafs { get; set; } = 10;
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/// <summary>
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- /// Number of weak hypotheses in the ensemble
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+ /// Total number of decision trees to create in the ensemble
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/// </summary>
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[TlcModule.SweepableDiscreteParamAttribute("NumTrees", new object[]{20, 100, 500})]
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public int NumTrees { get; set; } = 100;
@@ -4646,7 +4646,7 @@ public sealed partial class FastTreeBinaryClassifier : Microsoft.ML.Runtime.Entr
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public int MinDocumentsInLeafs { get; set; } = 10;
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/// <summary>
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- /// Number of weak hypotheses in the ensemble
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+ /// Total number of decision trees to create in the ensemble
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/// </summary>
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[TlcModule.SweepableDiscreteParamAttribute("NumTrees", new object[]{20, 100, 500})]
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public int NumTrees { get; set; } = 100;
@@ -5072,7 +5072,7 @@ public sealed partial class FastTreeRanker : Microsoft.ML.Runtime.EntryPoints.Co
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public int MinDocumentsInLeafs { get; set; } = 10;
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/// <summary>
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- /// Number of weak hypotheses in the ensemble
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+ /// Total number of decision trees to create in the ensemble
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/// </summary>
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[TlcModule.SweepableDiscreteParamAttribute("NumTrees", new object[]{20, 100, 500})]
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public int NumTrees { get; set; } = 100;
@@ -5458,7 +5458,7 @@ public sealed partial class FastTreeRegressor : Microsoft.ML.Runtime.EntryPoints
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public int MinDocumentsInLeafs { get; set; } = 10;
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/// <summary>
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- /// Number of weak hypotheses in the ensemble
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+ /// Total number of decision trees to create in the ensemble
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/// </summary>
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[TlcModule.SweepableDiscreteParamAttribute("NumTrees", new object[]{20, 100, 500})]
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public int NumTrees { get; set; } = 100;
@@ -5849,7 +5849,7 @@ public sealed partial class FastTreeTweedieRegressor : Microsoft.ML.Runtime.Entr
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public int MinDocumentsInLeafs { get; set; } = 10;
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/// <summary>
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- /// Number of weak hypotheses in the ensemble
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+ /// Total number of decision trees to create in the ensemble
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/// </summary>
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[TlcModule.SweepableDiscreteParamAttribute("NumTrees", new object[]{20, 100, 500})]
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public int NumTrees { get; set; } = 100;
@@ -14162,7 +14162,7 @@ public sealed class FastTreeBinaryClassificationFastTreeTrainer : FastTreeTraine
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public int MinDocumentsInLeafs { get; set; } = 10;
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/// <summary>
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- /// Number of weak hypotheses in the ensemble
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+ /// Total number of decision trees to create in the ensemble
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/// </summary>
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[TlcModule.SweepableDiscreteParamAttribute("NumTrees", new object[]{20, 100, 500})]
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public int NumTrees { get; set; } = 100;
@@ -14550,7 +14550,7 @@ public sealed class FastTreeRankingFastTreeTrainer : FastTreeTrainer
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public int MinDocumentsInLeafs { get; set; } = 10;
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/// <summary>
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- /// Number of weak hypotheses in the ensemble
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+ /// Total number of decision trees to create in the ensemble
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/// </summary>
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[TlcModule.SweepableDiscreteParamAttribute("NumTrees", new object[]{20, 100, 500})]
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public int NumTrees { get; set; } = 100;
@@ -14898,7 +14898,7 @@ public sealed class FastTreeRegressionFastTreeTrainer : FastTreeTrainer
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public int MinDocumentsInLeafs { get; set; } = 10;
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/// <summary>
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- /// Number of weak hypotheses in the ensemble
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+ /// Total number of decision trees to create in the ensemble
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/// </summary>
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[TlcModule.SweepableDiscreteParamAttribute("NumTrees", new object[]{20, 100, 500})]
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public int NumTrees { get; set; } = 100;
@@ -15251,7 +15251,7 @@ public sealed class FastTreeTweedieRegressionFastTreeTrainer : FastTreeTrainer
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public int MinDocumentsInLeafs { get; set; } = 10;
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/// <summary>
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- /// Number of weak hypotheses in the ensemble
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+ /// Total number of decision trees to create in the ensemble
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/// </summary>
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[TlcModule.SweepableDiscreteParamAttribute("NumTrees", new object[]{20, 100, 500})]
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public int NumTrees { get; set; } = 100;
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