File predictor_binary_auto.hpp

namespace boosting
class AutomaticBinaryPredictorConfig : public IBinaryPredictorConfig
#include <predictor_binary_auto.hpp>

Allows to configure a predictor that automatically decides for a method that is used to predict whether individual labels of given query examples are relevant or not

Public Functions

AutomaticBinaryPredictorConfig(const std::unique_ptr<ILossConfig> &lossConfigPtr, const std::unique_ptr<IMultiThreadingConfig> &multiThreadingConfigPtr)
Parameters:
  • lossConfigPtr – A reference to an unique pointer that stores the configuration of the loss function

  • 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

See also

IPredictorConfig::createPredictorFactory

std::unique_ptr<ISparseBinaryPredictorFactory> createSparsePredictorFactory(const IRowWiseFeatureMatrix &featureMatrix, uint32 numLabels) const override

See also

IBinaryPredictorConfig::createSparsePredictorFactory

bool isLabelVectorSetNeeded() const override

See also

IPredictorConfig::isLabelVectorSetNeeded

Private Members

const std::unique_ptr<ILossConfig> &lossConfigPtr_
const std::unique_ptr<IMultiThreadingConfig> &multiThreadingConfigPtr_