Uses of Class
edu.cmu.tetrad.search.unmix.UnmixResult

Packages that use UnmixResult

Package	Description
edu.cmu.tetrad.search.unmix

Uses of UnmixResult in edu.cmu.tetrad.search.unmix

Methods in edu.cmu.tetrad.search.unmix that return UnmixResult

Modifier and Type	Method	Description
static @NotNull UnmixResult	CausalUnmixer.getUnmixedResult(DataSet data)	Retrieves the unmixing result by processing the provided dataset using default configuration settings.
static @NotNull UnmixResult	CausalUnmixer.getUnmixedResult(DataSet data, @NotNull CausalUnmixer.Config cfg)	Retrieves the unmixing results from the provided dataset and configuration.
static UnmixResult	EmUnmix.run(DataSet data, EmUnmix.Config cfg, ResidualRegressor regressor)	Runs the unmixing process on the provided dataset using the specified configuration and regressor.
static UnmixResult	EmUnmix.run(DataSet data, EmUnmix.Config cfg, ResidualRegressor regressor, Function<DataSet,Graph> pooledSearch, Function<DataSet,Graph> perClusterSearch)	Executes the unmixing process on the given dataset using the specified configuration, residual regressor, and optional graph search functions.
static UnmixResult	EmUnmix.selectK(DataSet data, int Kmin, int Kmax, ResidualRegressor regressor, EmUnmix.Config base)	Selects the optimal number of clusters (K) for unmixing the provided dataset within the specified range.
static UnmixResult	EmUnmix.selectK(DataSet data, int Kmin, int Kmax, ResidualRegressor regressor, Function<DataSet,Graph> pooledSearch, Function<DataSet,Graph> perClusterSearch, EmUnmix.Config base)	Selects the optimal number of clusters (K) for unmixing a dataset within the specified range [Kmin, Kmax].