Uses of Interface
ai.timefold.solver.service.definition.api.ModelConfigOverrides

Packages that use ModelConfigOverrides

Package	Description
ai.timefold.solver.service.definition.api
ai.timefold.solver.service.definition.api.data
ai.timefold.solver.service.definition.api.domain
ai.timefold.solver.service.definition.api.validation
ai.timefold.solver.service.definition.impl.solver
ai.timefold.solver.service.definition.internal.storage

Uses of ModelConfigOverrides in ai.timefold.solver.service.definition.api

Classes in ai.timefold.solver.service.definition.api with type parameters of type ModelConfigOverrides

Modifier and Type	Interface	Description
interface	ModelConvertor<Score_ extends ai.timefold.solver.core.api.score.Score<Score_>, ModelInput_ extends ModelInput, ModelConfigurationOverrides_ extends ModelConfigOverrides, SolverModel_ extends SolverModel<Score_>, ModelOutput_ extends ModelOutput>	The convertor of: The ModelInput and the ModelConfig (usually obtained from the ModelRequest) into the SolverModel usable by the Timefold Solver. The SolverModel representing a planning solution into the ModelOutput (usually forming a part of the ModelResponse).

Uses of ModelConfigOverrides in ai.timefold.solver.service.definition.api.data

Classes in ai.timefold.solver.service.definition.api.data with type parameters of type ModelConfigOverrides

Modifier and Type	Class	Description
class	AbstractBasicDemoDataGenerator<ModelInput_ extends ModelInput, ModelConfigOverrides_ extends ModelConfigOverrides>	Default DemoDataGenerator implementation for models that provide only a single demo data set with ID "BASIC"<ModelInput_ extends ModelInput, ModelConfigOverrides_ extends ModelConfigOverrides>.

Methods in ai.timefold.solver.service.definition.api.data that return types with arguments of type ModelConfigOverrides

Modifier and Type	Method	Description
ModelRequest<? extends ModelInput, ? extends ModelConfigOverrides>	DemoData.modelRequest()	Returns the value of the modelRequest record component.

Constructor parameters in ai.timefold.solver.service.definition.api.data with type arguments of type ModelConfigOverrides

Modifier	Constructor	Description
	DemoData(DemoMetaData metaData, ModelRequest<? extends ModelInput, ? extends ModelConfigOverrides> modelRequest)	Creates an instance of a DemoData record class.

Uses of ModelConfigOverrides in ai.timefold.solver.service.definition.api.domain

Classes in ai.timefold.solver.service.definition.api.domain with type parameters of type ModelConfigOverrides

Modifier and Type	Class	Description
final record	ModelInputPatchRequest<ModelConfigurationOverrides_ extends ModelConfigOverrides>
final record	ModelRequest<ModelInput_ extends ModelInput, ModelConfigurationOverrides_ extends ModelConfigOverrides>
final record	ScoreAnalysisRequest<ModelInput_ extends ModelInput, ModelConfigurationOverrides_ extends ModelConfigOverrides>

Methods in ai.timefold.solver.service.definition.api.domain with type parameters of type ModelConfigOverrides

Modifier and Type	Method	Description
static <ModelConfigurationOverrides_ extends ModelConfigOverrides> Configuration<ModelConfigurationOverrides_>	Configuration.empty()	Returns a new empty Configuration instance.
static <ModelConfigurationOverrides_ extends ModelConfigOverrides> ModelConfig<ModelConfigurationOverrides_>	ModelConfig.empty()
static <ModelConfigurationOverrides_ extends ModelConfigOverrides> ModelConfig<ModelConfigurationOverrides_>	Configuration.getSafeModelConfig(Configuration<ModelConfigurationOverrides_> configuration)	Returns the ModelConfig from the given Configuration, or an ModelConfig.empty() if the configuration or its underlying model configuration is null.

Uses of ModelConfigOverrides in ai.timefold.solver.service.definition.api.validation

Classes in ai.timefold.solver.service.definition.api.validation with type parameters of type ModelConfigOverrides

Modifier and Type	Interface	Description
interface	ModelValidator<ModelInput_ extends ModelInput, ModelConfigOverrides_ extends ModelConfigOverrides>	Provides a complex validation of the model input before the solving, or other operation, starts.

Uses of ModelConfigOverrides in ai.timefold.solver.service.definition.impl.solver

Methods in ai.timefold.solver.service.definition.impl.solver with type parameters of type ModelConfigOverrides

Modifier and Type	Method	Description
<Score_, ModelConfigurationOverrides_ extends ModelConfigOverrides> Metadata<Score_>	SolverWorkerFacade.createAndSolveDataset(String id, DatasetSelector select, String runName, Set<String> tags, Configuration<ModelConfigurationOverrides_> configuration)	Creates a new dataset derived from an existing one (identified by id) and immediately schedules it to be solved after validation/compute completes.
<Score_, ModelConfigurationOverrides_ extends ModelConfigOverrides> Metadata<Score_>	SolverWorkerFacade.createAndSolveDataset(String runName, Set<String> tags, ModelInput modelInput, Configuration<ModelConfigurationOverrides_> configuration)	Creates a new dataset from the provided ModelInput and immediately schedules it to be solved after validation/compute completes.
<Score_, ModelConfigurationOverrides_ extends ModelConfigOverrides> Metadata<Score_>	SolverWorkerFacade.createDataset(String id, DatasetSelector select, String runName, Set<String> tags, Configuration<ModelConfigurationOverrides_> configuration)	Creates a new dataset derived from an existing one (identified by id) without starting the solving process.
<Score_, ModelConfigurationOverrides_ extends ModelConfigOverrides> Metadata<Score_>	SolverWorkerFacade.createDataset(String runName, Set<String> tags, ModelInput modelInput, Configuration<ModelConfigurationOverrides_> configuration)	Creates a new dataset from the provided ModelInput without starting the solving process.
<ModelConfigurationOverrides_ extends ModelConfigOverrides> Configuration<ModelConfigurationOverrides_>	SolverWorkerFacade.getConfiguration(String id)	Returns the effective (processed) Configuration of the given dataset.
<ModelInput_ extends ModelInput, ModelConfigurationOverrides_ extends ModelConfigOverrides> ModelRequest<ModelInput_, ModelConfigurationOverrides_>	SolverWorkerFacade.getModelRequest(String id)	Returns the original ModelRequest for the given dataset.
<ModelConfigurationOverrides_ extends ModelConfigOverrides> Configuration<ModelConfigurationOverrides_>	SolverWorkerFacade.getUnprocessedConfiguration(String id)	Returns the original (unprocessed) Configuration of the given dataset, as it was supplied by the caller before any post-processing.
<Score_, ModelConfigurationOverrides_ extends ModelConfigOverrides> Metadata<Score_>	SolverWorkerFacade.patchAndSolveDataset(String id, DatasetSelector select, String runName, ModelInputPatchRequest<ModelConfigurationOverrides_> modelInputPatchRequest)	Creates a new dataset by applying a JSON patch to an existing dataset's ModelInput and immediately schedules it to be solved after validation/compute completes.
<Score_, ModelConfigurationOverrides_ extends ModelConfigOverrides> Metadata<Score_>	SolverWorkerFacade.patchDataset(String id, DatasetSelector select, String runName, ModelInputPatchRequest<ModelConfigurationOverrides_> modelInputPatchRequest)	Creates a new dataset by applying a JSON patch to an existing dataset's ModelInput, without starting the solving process.

Uses of ModelConfigOverrides in ai.timefold.solver.service.definition.internal.storage

Classes in ai.timefold.solver.service.definition.internal.storage with type parameters of type ModelConfigOverrides

Modifier and Type	Class	Description
class	AbstractStorageService<ModelInput_ extends ModelInput, ModelConfigOverrides_ extends ModelConfigOverrides, InputMetrics_ extends ModelInputMetrics, OutputMetrics_ extends ModelOutputMetrics, ModelOutput_ extends ModelOutput, Score_, Justification_ extends ModelConstraintJustification>