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Logistic Regression NumberOfIterations to MaximumNumberOfIterations #2923

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Mar 12, 2019
Merged

Logistic Regression NumberOfIterations to MaximumNumberOfIterations #2923

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22ffccf
Updating LR and it's relatives to use MaximumNumberOfIterations as a …
Mar 12, 2019
993a6cd
Updating manifest, adding all aliases for MaxIterations.
Mar 12, 2019
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8 changes: 4 additions & 4 deletions src/Microsoft.ML.StandardTrainers/Standard/LogisticRegression/LbfgsPredictorBase.cs
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Original file line number Diff line number Diff line change
Expand Up @@ -62,7 +62,7 @@ public abstract class OptionsBase : TrainerInputBaseWithWeight
[Argument(ArgumentType.AtMostOnce, HelpText = "Maximum iterations.", ShortName = "maxiter, MaxIterations")]
[TGUI(Label = "Max Number of Iterations")]
[TlcModule.SweepableLongParamAttribute("MaxIterations", 1, int.MaxValue)]
public int NumberOfIterations = Defaults.NumberOfIterations;
public int MaximumNumberOfIterations = Defaults.MaximumNumberOfIterations;

/// <summary>
/// Run SGD to initialize LR weights, converging to this tolerance.
Expand Down Expand Up @@ -122,7 +122,7 @@ internal static class Defaults
public const float L1Regularization = 1;
public const float OptimizationTolerance = 1e-7f;
public const int HistorySize = 20;
public const int NumberOfIterations = int.MaxValue;
public const int MaximumNumberOfIterations = int.MaxValue;
public const bool EnforceNonNegativity = false;
}
}
Expand Down Expand Up @@ -221,7 +221,7 @@ internal LbfgsTrainerBase(IHostEnvironment env,
Host.CheckUserArg(LbfgsTrainerOptions.L1Regularization >= 0, nameof(LbfgsTrainerOptions.L1Regularization), "Must be non-negative");
Host.CheckUserArg(LbfgsTrainerOptions.OptmizationTolerance > 0, nameof(LbfgsTrainerOptions.OptmizationTolerance), "Must be positive");
Host.CheckUserArg(LbfgsTrainerOptions.HistorySize > 0, nameof(LbfgsTrainerOptions.HistorySize), "Must be positive");
Host.CheckUserArg(LbfgsTrainerOptions.NumberOfIterations > 0, nameof(LbfgsTrainerOptions.NumberOfIterations), "Must be positive");
Host.CheckUserArg(LbfgsTrainerOptions.MaximumNumberOfIterations > 0, nameof(LbfgsTrainerOptions.MaximumNumberOfIterations), "Must be positive");
Host.CheckUserArg(LbfgsTrainerOptions.StochasticGradientDescentInitilaizationTolerance >= 0, nameof(LbfgsTrainerOptions.StochasticGradientDescentInitilaizationTolerance), "Must be non-negative");
Host.CheckUserArg(LbfgsTrainerOptions.NumberOfThreads == null || LbfgsTrainerOptions.NumberOfThreads.Value >= 0, nameof(LbfgsTrainerOptions.NumberOfThreads), "Must be non-negative");

Expand All @@ -234,7 +234,7 @@ internal LbfgsTrainerBase(IHostEnvironment env,
L1Weight = LbfgsTrainerOptions.L1Regularization;
OptTol = LbfgsTrainerOptions.OptmizationTolerance;
MemorySize =LbfgsTrainerOptions.HistorySize;
MaxIterations = LbfgsTrainerOptions.NumberOfIterations;
MaxIterations = LbfgsTrainerOptions.MaximumNumberOfIterations;
SgdInitializationTolerance = LbfgsTrainerOptions.StochasticGradientDescentInitilaizationTolerance;
Quiet = LbfgsTrainerOptions.Quiet;
InitWtsDiameter = LbfgsTrainerOptions.InitialWeightsDiameter;
Expand Down
2 changes: 1 addition & 1 deletion test/Microsoft.ML.Tests/PermutationFeatureImportanceTests.cs
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Expand Up @@ -270,7 +270,7 @@ public void TestPfiMulticlassClassificationOnSparseFeatures()
{
var data = GetSparseDataset(TaskType.MulticlassClassification);
var model = ML.MulticlassClassification.Trainers.LogisticRegression(
new MulticlassLogisticRegression.Options { NumberOfIterations = 1000 }).Fit(data);
new MulticlassLogisticRegression.Options { MaximumNumberOfIterations = 1000 }).Fit(data);
var pfi = ML.MulticlassClassification.PermutationFeatureImportance(model, data);

// Pfi Indices:
Expand Down