machinelearning: StochasticDualCoordinateAscent not work For Multiclass after migrate to 0.10.0

System information

• OS version/distro: W10
• .NET Version (eg., dotnet --info): 4.6.1

Issue

• What did you do? Migrated my code from 0.9.0 to 0.10.0
• What happened? StochasticDualCoordinateAscent Algorithm was working fine for multi class and binary trainer before move to 0.10 after updating its working only for binary and freeze on trainingPipeline.Fit(trainingDataView); for Multiclass take a while
• What did you expect? it should work fine

Source code / logs

`var mlContext = new MLContext(seed: 1);

#region “STEP 1: Common data loading configuration”

IDataView trainingDataView = GetNormalDataSet(mlContext, allFeatures, mLFeatures);

if (trainingDataView.GetRowCount() == 0)
{

    return;
}

textFeatures = GetTextFeatures(normalFeatures);

numericFeatures = GetNumericFeatures(normalFeatures).ToArray();

#endregion

#region “STEP 2: Common data process configuration with pipeline data transformations”

// STEP 2: Common data process configuration with pipeline data transformations

var textFeaturesProcessPipeline = mlContext.Transforms.Text.FeaturizeText(DefaultColumnNames.Features, textFeatures);

var numericFeaturesProcessPipeline = mlContext.Transforms.Concatenate(DefaultColumnNames.Features, numericFeatures);

var dataProcessPipeline = numericFeaturesProcessPipeline.Append(textFeaturesProcessPipeline).AppendCacheCheckpoint(mlContext);

#endregion

#region “STEP 3: Set the training algorithm, then create and configure the modelBuilder”

ITransformer trainedModel = null;

//“StochasticDualCoordinateAscent”

var trainingPipeline = mlContext.Transforms.Conversion.MapValueToKey(DefaultColumnNames.Label) .Append(dataProcessPipeline) .Append(mlContext.MulticlassClassification.Trainers.StochasticDualCoordinateAscent(labelColumn: DefaultColumnNames.Label, featureColumn: DefaultColumnNames.Features)) .Append(mlContext.Transforms.Conversion.MapKeyToValue(DefaultColumnNames.PredictedLabel));

#region STEP 4: Train the model fitting to the DataSet

//Take a while and no responce when call fit method

trainedModel = trainingPipeline.Fit(trainingDataView);

#endregion`

you can see some screen for values and when change from “StochasticDualCoordinateAscent” to “Naive Bayes” Working fine

what wrong on my code

also those my Data Structure Classes `[Serializable] public class NormalTagsModelFeatures { //[Column(ordinal: “0”, name: “Label”)] public string Label; [LoadColumn(0)] public string Label; [LoadColumn(1)] public float fontSize; [LoadColumn(2)] public float isBold; [LoadColumn(3)] public float isItalic; [LoadColumn(4)] public float isUnderLine; [LoadColumn(5)] public float containsDot; [LoadColumn(6)] public float containsQuestionMark; [LoadColumn(7)] public string fontColor; [LoadColumn(8)] public float isAllCaps; [LoadColumn(9)] public string tagText; [LoadColumn(10)] public string firstWord; [LoadColumn(11)] public string FontName; [LoadColumn(12)] public float verticalText; [LoadColumn(13)] public float trdLeft; [LoadColumn(14)] public float trdRight; [LoadColumn(15)] public float trdTop; [LoadColumn(16)] public float trdBottom; [LoadColumn(17)] public float pageNo;

}

public class NormalTagsPrediction
{
    [ColumnName("PredictedLabel")]
    public string PredictedLabel;

    [ColumnName("Score")]
    public float[] Score { get; set; }

}`

Please paste or attach the code or logs or traces that would be helpful to diagnose the issue you are reporting.