Remove unused functions.

cpp/subprojects/boosting/src/mlrl/boosting/statistics/statistics_common.hpp

@@ -552,20 +552,6 @@ namespace boosting {
                 return statePtr_->statisticMatrixPtr->getNumCols();
             }
 
-            /**
-             * @see `IStatistics::createUpdate`
-             */
-            std::unique_ptr<IStatisticsUpdate> createUpdate(const CompletePrediction& prediction) override final {
-                return std::make_unique<Update<CompletePrediction>>(*statePtr_, prediction);
-            }
-
-            /**
-             * @see `IStatistics::createUpdate`
-             */
-            std::unique_ptr<IStatisticsUpdate> createUpdate(const PartialPrediction& prediction) override final {
-                return std::make_unique<Update<PartialPrediction>>(*statePtr_, prediction);
-            }
-
             /**
              * @see `IStatistics::evaluatePrediction`
              */

cpp/subprojects/common/include/mlrl/common/rule_refinement/prediction.hpp

@@ -40,15 +40,6 @@ class IPrediction : public IIndexVector,
          */
         virtual void postProcess(const IPostProcessor& postProcessor) = 0;
 
-        /**
-         * Creates and returns an object of type `IStatisticsUpdate` that allows updating given `IStatistics` based on
-         * this prediction.
-         *
-         * @param statistics  A reference to an object of type `IStatistics` that should be updated
-         * @return            An unique pointer to an object of type `IStatisticsUpdate` that has been created
-         */
-        virtual std::unique_ptr<IStatisticsUpdate> createStatisticsUpdate(IStatistics& statistics) const = 0;
-
         /**
          * Creates and returns a new subset of the given statistics that only contains the outputs whose indices are
          * stored in this vector.

cpp/subprojects/common/include/mlrl/common/rule_refinement/prediction_complete.hpp

@@ -122,8 +122,6 @@ class CompletePrediction final : public VectorDecorator<AllocatedVector<float64>
           const IStatistics& statistics,
           const OutOfSampleWeightVector<DenseWeightVector<float32>>& weights) const override;
 
-        std::unique_ptr<IStatisticsUpdate> createStatisticsUpdate(IStatistics& statistics) const override;
-
         void applyPrediction(uint32 statisticIndex) override;
 
         void revertPrediction(uint32 statisticIndex) override;

cpp/subprojects/common/include/mlrl/common/rule_refinement/prediction_partial.hpp

@@ -163,8 +163,6 @@ class PartialPrediction final : public VectorDecorator<ResizableVector<float64>>
           const IStatistics& statistics,
           const OutOfSampleWeightVector<DenseWeightVector<float32>>& weights) const override;
 
-        std::unique_ptr<IStatisticsUpdate> createStatisticsUpdate(IStatistics& statistics) const override;
-
         void applyPrediction(uint32 statisticIndex) override;
 
         void revertPrediction(uint32 statisticIndex) override;

cpp/subprojects/common/include/mlrl/common/statistics/statistics.hpp

@@ -4,14 +4,11 @@
  */
 #pragma once
 
-#include "mlrl/common/rule_refinement/prediction_complete.hpp"
-#include "mlrl/common/rule_refinement/prediction_partial.hpp"
 #include "mlrl/common/sampling/weight_vector_bit.hpp"
 #include "mlrl/common/sampling/weight_vector_dense.hpp"
 #include "mlrl/common/sampling/weight_vector_equal.hpp"
 #include "mlrl/common/sampling/weight_vector_out_of_sample.hpp"
 #include "mlrl/common/statistics/statistics_space.hpp"
-#include "mlrl/common/statistics/statistics_update.hpp"
 #include "mlrl/common/statistics/statistics_weighted.hpp"
 
 #include <memory>
@@ -25,24 +22,6 @@ class IStatistics : public IStatisticsSpace {
 
         virtual ~IStatistics() override {}
 
-        /**
-         * Creates and returns a new object of type `IStatisticsUpdate` that allows updating the statistics based on the
-         * predictions of a rule that predicts for all available outputs.
-         *
-         * @param prediction A reference to an object of type `CompletePrediction` that stores the scores that are
-         *                   predicted by the rule
-         */
-        virtual std::unique_ptr<IStatisticsUpdate> createUpdate(const CompletePrediction& prediction) = 0;
-
-        /**
-         * Creates and returns a new object of type `IStatisticsUpdate` that allows updating the statistics based on the
-         * predictions of a rule that predicts for a subset of the available outputs.
-         *
-         * @param prediction A reference to an object of type `PartialPrediction` that stores the scores that are
-         *                   predicted by the rule
-         */
-        virtual std::unique_ptr<IStatisticsUpdate> createUpdate(const PartialPrediction& prediction) = 0;
-
         /**
          * Calculates and returns a numerical score that assesses the quality of the current predictions for a specific
          * statistic.

cpp/subprojects/common/src/mlrl/common/rule_refinement/prediction_complete.cpp

@@ -97,10 +97,6 @@ std::unique_ptr<IStatisticsSubset> CompletePrediction::createStatisticsSubset(
     return statistics.createSubset(indexVector_, weights);
 }
 
-std::unique_ptr<IStatisticsUpdate> CompletePrediction::createStatisticsUpdate(IStatistics& statistics) const {
-    return statistics.createUpdate(*this);
-}
-
 void CompletePrediction::applyPrediction(uint32 statisticIndex) {
     statisticsUpdatePtr_->applyPrediction(statisticIndex);
 }

cpp/subprojects/common/src/mlrl/common/rule_refinement/prediction_partial.cpp

@@ -145,10 +145,6 @@ std::unique_ptr<IStatisticsSubset> PartialPrediction::createStatisticsSubset(
     return statistics.createSubset(indexVector_, weights);
 }
 
-std::unique_ptr<IStatisticsUpdate> PartialPrediction::createStatisticsUpdate(IStatistics& statistics) const {
-    return statistics.createUpdate(*this);
-}
-
 void PartialPrediction::applyPrediction(uint32 statisticIndex) {
     statisticsUpdatePtr_->applyPrediction(statisticIndex);
 }

cpp/subprojects/seco/src/mlrl/seco/statistics/statistics_common.hpp

@@ -582,20 +582,6 @@ namespace seco {
                 return statePtr_->labelMatrix.numCols;
             }
 
-            /**
-             * @see `IStatistics::createUpdate`
-             */
-            std::unique_ptr<IStatisticsUpdate> createUpdate(const CompletePrediction& prediction) override final {
-                return std::make_unique<Update<CompletePrediction>>(*statePtr_, prediction);
-            }
-
-            /**
-             * @see `IStatistics::createUpdate`
-             */
-            std::unique_ptr<IStatisticsUpdate> createUpdate(const PartialPrediction& prediction) override final {
-                return std::make_unique<Update<PartialPrediction>>(*statePtr_, prediction);
-            }
-
             /**
              * @see `IStatistics::evaluatePrediction`
              */