Allow only binary classifiers in OVA #2949
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rogancarr
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Mar 14, 2019
| @@ -628,7 +628,7 @@ private static ICalibratorTrainer GetCalibratorTrainerOrThrow(IExceptionContext | |||
| /// <param name="useProbabilities">Use probabilities (vs. raw outputs) to identify top-score category.</param> | |||
| /// <typeparam name="TModel">The type of the model. This type parameter will usually be inferred automatically from <paramref name="binaryEstimator"/>.</typeparam> | |||
| public static OneVersusAllTrainer OneVersusAll<TModel>(this MulticlassClassificationCatalog.MulticlassClassificationTrainers catalog, | |||
| ITrainerEstimator<ISingleFeaturePredictionTransformer<TModel>, TModel> binaryEstimator, | |||
| ITrainerEstimator<BinaryPredictionTransformer<TModel>, TModel> binaryEstimator, | |||
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BinaryPredictionTransformer [](start = 30, length = 27)
Might not be so easy because any given BinaryPredictionTransformer might not be an ISingleFeaturePredictionTransformer; from what I understand, OVA is currently limited to learners with single feature vectors (e.g. not FieldAwareFactorizationMachines). #Resolved
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Here is the definition for BinaryPredictionTransformer:
/// <summary>
/// Base class for the <see cref="ISingleFeaturePredictionTransformer{TModel}"/> working on binary classification tasks.
/// </summary>
/// <typeparam name="TModel">An implementation of the <see cref="IPredictorProducing{TResult}"/></typeparam>
public sealed class BinaryPredictionTransformer<TModel> : SingleFeaturePredictionTransformerBase<TModel>
so it looks like its a base transformer class for all ISingleFeaturePredictionTransformer and thats exactly what we need.
In reply to: 265408746 [](ancestors = 265408746)
rogancarr
approved these changes
Mar 14, 2019
|
Broken build ! I'm fixing. |
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fixes #2920