Class MultiConditionProblem

• Defined in File multiConditionProblem.h

Inheritance Relationships

Base Type

• public parpe::MinibatchOptimizationProblem< int > (Template Class MinibatchOptimizationProblem)

Class Documentation

class MultiConditionProblem : public parpe::MinibatchOptimizationProblem<int>

The MultiConditionProblem class represents an optimization problem based on an MultiConditionGradientFunction (AMICI ODE model) and MultiConditionDataProvider.

Public Functions

MultiConditionProblem() = default

explicit MultiConditionProblem(MultiConditionDataProvider *dp)

MultiConditionProblem(MultiConditionDataProvider *dp, LoadBalancerMaster *loadBalancer, std::unique_ptr<Logger> logger, std::unique_ptr<OptimizationResultWriter> resultWriter)

~MultiConditionProblem() override = default

virtual int earlyStopping()

earlyStopping

Returns:

stop the optimization run

MultiConditionDataProvider *getDataProvider()

OptimizationResultWriter *getResultWriter()

void setInitialParameters(const std::vector<double> &startingPoint)

void setParametersMin(const std::vector<double> &lowerBounds)

void setParametersMax(std::vector<double> const &upperBounds)

virtual void fillParametersMin(gsl::span<double> buffer) const override

lower bound of parameter values

virtual void fillParametersMax(gsl::span<double> buffer) const override

upper bound of parameter values

virtual void fillInitialParameters(gsl::span<double> buffer) const override

Default implementation: random starting points are drawn from [parametersMin, parametersMax]

virtual std::unique_ptr<OptimizationReporter> getReporter() const override

virtual std::vector<int> getTrainingData() const override

vector of training data