File predictor_binary_label_wise.hpp¶

namespace seco¶

class LabelWiseBinaryPredictorConfig : public IBinaryPredictorConfig ¶

#include <predictor_binary_label_wise.hpp>

Allows to configure a predictor that predicts whether individual labels of given query examples are relevant or irrelevant by processing rules of an existing rule-based model in the order they have been learned. If a rule covers an example, its prediction (1 if the label is relevant, 0 otherwise) is applied to each label individually, if none of the previous rules has already predicted for a particular example and label.

Public Functions

LabelWiseBinaryPredictorConfig(const std::unique_ptr<IMultiThreadingConfig> &multiThreadingConfigPtr)¶

Parameters:: multiThreadingConfigPtr – A reference to an unique pointer that stores the configuration of the multi-threading behavior that should be used to predict for several query examples in parallel

std::unique_ptr<IBinaryPredictorFactory> createPredictorFactory(const IRowWiseFeatureMatrix &featureMatrix, uint32 numLabels) const override¶