Uses of Interface
edu.cmu.tetrad.algcomparison.utils.HasParameters

Packages that use HasParameters

Package	Description
edu.cmu.tetrad.algcomparison.algorithm
edu.cmu.tetrad.algcomparison.algorithm.continuous.dag
edu.cmu.tetrad.algcomparison.algorithm.multi
edu.cmu.tetrad.algcomparison.algorithm.oracle.cpdag
edu.cmu.tetrad.algcomparison.algorithm.oracle.pag
edu.cmu.tetrad.algcomparison.algorithm.other
edu.cmu.tetrad.algcomparison.algorithm.pairwise
edu.cmu.tetrad.algcomparison.independence
edu.cmu.tetrad.algcomparison.score
edu.cmu.tetrad.algcomparison.simulation
edu.cmu.tetrad.algcomparison.utils
edu.cmu.tetrad.data.simulation

Uses of HasParameters in edu.cmu.tetrad.algcomparison.algorithm

Subinterfaces of HasParameters in edu.cmu.tetrad.algcomparison.algorithm

Modifier and Type	Interface	Description
interface	Algorithm	Interface that algorithm must implement.
interface	MultiDataSetAlgorithm	Implements an algorithm that takes multiple data sets as input.

Classes in edu.cmu.tetrad.algcomparison.algorithm that implement HasParameters

Modifier and Type	Class	Description
class	AbstractBootstrapAlgorithm	This is a base class for bootstrap algorithms.
class	AbstractMultiBootstrapAlgorithm	A base class for bootstrapping multi-dataset algorithms (such as IMaGES), parallel to AbstractBootstrapAlgorithm for single-dataset algorithms.
class	ExternalAlgorithm	Tags an an algorithm that loads up external graphs for inclusion in reports.
class	FirstInflection	First inflection point.
class	StabilitySelection	Stability selection: runs the wrapped algorithm on resamples of the data and returns the graph containing exactly those edges (with orientation) appearing in more than "percentStability" of the resample graphs.
class	StARS	StARS (Stability Approach to Regularization Selection): selects a value for one numeric parameter of a wrapped algorithm by sweeping the parameter over [low, high] in steps of 0.5, measuring the StARS adjacency instability of the algorithm's output over a fixed set of resamples at each value, choosing the value with the largest instability strictly below the cutoff (Params "StARS.cutoff"), and then running the wrapped algorithm on the full data at the chosen value.

Uses of HasParameters in edu.cmu.tetrad.algcomparison.algorithm.continuous.dag

Classes in edu.cmu.tetrad.algcomparison.algorithm.continuous.dag that implement HasParameters

Modifier and Type	Class	Description
class	Dagma	Implements the DAGMA algorithm.
class	DirectLingam	Direct LiNGAM.
class	Fask	FASK algorithm.
class	FaskOrig	Deprecated.
class	IcaLingam	ICA-LiNGAM, the former name of LiNGAM.
class	IcaLingD	ICA-LiNG-D, the former name of LiNG-D.
class	Lingam	IcaLingam class implements the Algorithm and ReturnsBootstrapGraphs interface.
class	LingD	IcaLingD is an implementation of the Algorithm interface that performs the LiNG-D algorithm for discovering causal models for the linear non-Gaussian case where the underlying model might be cyclic.

Uses of HasParameters in edu.cmu.tetrad.algcomparison.algorithm.multi

Classes in edu.cmu.tetrad.algcomparison.algorithm.multi that implement HasParameters

Modifier and Type	Class	Description
class	FaskConcatenated	Wraps the IMaGES algorithm for continuous variables.
class	FaskPool	Wraps the pooled-FASK multi-dataset algorithm for continuous variables.
class	FaskVote	Wraps the MultiFask algorithm for continuous variables.
class	FciIod	Runs FCI on multiple datasets using the IOD pooled dataset independence test.
class	FgesConcatenated	Requires that the parameter 'randomSelectionSize' be set to indicate how many datasets should be taken at a time (randomly).
class	Images	Wraps the IMaGES algorithm for continuous variables.
class	ImagesBoss	Wraps the IMaGES algorithm for continuous variables.
class	ImagesFges	Wraps the IMaGES algorithm for continuous variables.
class	Ion	Runs the ION (Integration of Overlapping Networks) algorithm on multiple datasets whose variable sets may overlap only partially.

Uses of HasParameters in edu.cmu.tetrad.algcomparison.algorithm.oracle.cpdag

Classes in edu.cmu.tetrad.algcomparison.algorithm.oracle.cpdag that implement HasParameters

Modifier and Type	Class	Description
class	Boss	BOSS (Best Order Score Search)
class	BossCdnodScore	BOSS + score-based CD-NOD context augmentation.
class	BossTopK	BOSS-TopK (Best Order Score Search, Top K).
class	BossTrekMimic	Deprecated.
class	Cam	Represents the CAM algorithm, which is a causal additive model search algorithm.
class	Cdnod	CD-NOD wrapper for algcomparison.
class	CdnodBoss	Algcomparison wrapper for the CD-NOD-BOSS search (CdnodBoss): a BOSS backbone with constraint-based collider orientation applied only to unshielded triples that BOSS leaves fully undirected, followed by Meek closure.
class	CdnodPag	CD-NOD wrapper for algcomparison.
class	Cpc	Conservative PC (CPC).
class	Cstar	Cstar class.
class	Fas	Fast Adjacency Search (FAS)--i.e., the PC adjacency step, which is used in many algorithms.
class	Fges	FGES (the heuristic version).
class	FgesMb	FGES-MB (the heuristic version).
class	Flop	FLOP (Fast Learning of Order and Parents).
class	Grasp	GRaSP (Greedy Relaxations of Sparsest Permutation)
class	IsFges	IS-FGES (Instance-Specific FGES) wrapper for the algcomparison interface.
class	Pc	Peter/Clark algorithm (PC).
class	PcAr	Peter/Clark algorithm with adjacency-rescue (PcAR): PC augmented with detection, and optionally repair, of cancelled unfaithful-triangle edges.
class	Pcd	PC.
class	PcMax	PC-Max.
class	PcMb	PC.
class	Pcmci	PCMCI wrapper for algcomparison.
class	RestrictedBoss	Implements a restricted version of the BOSS (Best Order Score Search) algorithm that focuses search on a set of target variables and their immediate causes.
class	SingleGraphAlg	PC.
class	Sp	SP (Sparsest Permutation)
class	Tgin	Deprecated.
class	TrekMimic	Algorithm-comparison wrapper for the Trek-MIMIC search.
class	TwoStep	Deprecated.

Uses of HasParameters in edu.cmu.tetrad.algcomparison.algorithm.oracle.pag

Classes in edu.cmu.tetrad.algcomparison.algorithm.oracle.pag that implement HasParameters

Modifier and Type	Class	Description
class	Bfci	Adjusts FGES-FCI to use a permutation algorithm (such as BOSS-Tuck) to do the initial steps of finding adjacencies and unshielded colliders.
class	BfciBryan	BFCI-Bryan: BOSS followed by the from-scratch, sepset-map-as-state formulation of the gated StarFCI extra-edge-removal step, with sepset RE-SELECTION (a gate-rejected separating set does not retire the pair; the next separating set is tried) and NO saturating step.
class	BfciBryanScore	BFCI-Bryan-Score: BFCI-Bryan (sepset re-selection under the legality gate) with a scoring step: a legal candidate is committed only if the RICF Gaussian BIC of its MAG strictly improves on the committed model's, following Bryan Andrews's "BFCI-Bryan with scoring" pseudocode.
class	BfciC	Adjusts FGES-FCI to use a permutation algorithm (such as BOSS-Tuck) to do the initial steps of finding adjacencies and unshielded colliders.
class	BfciD	Adjusts FGES-FCI to use a permutation algorithm (such as BOSS-Tuck) to do the initial steps of finding adjacencies and unshielded colliders.
class	BfciScoreCheck	/ Hidden from the interface on 2026-10-21 (no @Algorithm annotation): kept only so that saved sessions
class	BossCcd	BOSS-CCD (Cyclic Causal Discovery with a BOSS adjacency superstructure).
class	BossFci	BOSS-FCI, the former name of BFCI.
class	BossPod	BOSS-POD, removed in Tetrad 8.0.0.
class	Ccd	CCD (Cyclic Causal Discovery)
class	Cfci	CFCI (Conservative FCI).
class	Cpw	Implements the CPW (Cyclic Pairwise) algorithm for causal discovery from continuous, causally sufficient observational data.
class	Dm	Algorithm-comparison wrapper for the Murray-Watters/Glymour style Detect-Mimic search, DM.
class	DmFcit	DM-FCIT, removed in Tetrad 8.0.0.
class	DmPc	DM-PC, removed in Tetrad 8.0.0.
class	Fci	The Fast Causal Inference (FCI) algorithm.
class	FciCyclicPw	FCI-CPW: Run FCI with internally constructed PW-forbidden knowledge, then orient edges using a pairwise left-right rule on standardized data in cases that are safe under no-selection-bias cyclic semantics: Tail–tail (—) edges Orient per pairwise rule. Tail–circle (—o) edges If pairwise prefers x→y, set x→y (symmetrically, if prefers y→x, set y→x). Circle–circle (o–o) edges If pairwise prefers x→y, set x o→y (symmetrically for y→x).
class	FciMax	FCI-Max.
class	Fcit	This class represents the FCI Targeted Testing (FCIT) algorithm, which is variant of the *-FCI algorithm for learning causal structures from observational data using the BOSS algorithm as an initial CPDAG and using all score-based steps afterward.
class	FcitMagMarkov	This class represents the FCI Targeted Testing (FCIT) algorithm, which is variant of the *-FCI algorithm for learning causal structures from observational data using the BOSS algorithm as an initial CPDAG and using all score-based steps afterward.
class	FcitMarkov	This class represents the FCI Targeted Testing (FCIT) algorithm, which is variant of the *-FCI algorithm for learning causal structures from observational data using the BOSS algorithm as an initial CPDAG and using all score-based steps afterward.
class	FcitSl	This class represents the FCI Targeted Testing (FCIT) algorithm, which is variant of the *-FCI algorithm for learning causal structures from observational data using the BOSS algorithm as an initial CPDAG and using all score-based steps afterward.
class	FcitSlScoreCheck	FCIT-SL-Score-Check: the FCIT-SL algorithm with a MAG BIC SCORE CHECK applied to every candidate the search adjudicates.
class	FcitZm	This class represents the FCI Targeted Testing (FCIT) algorithm, which is variant of the *-FCI algorithm for learning causal structures from observational data using the BOSS algorithm as an initial CPDAG and using all score-based steps afterward.
class	Gfci	The Fges-FCI class represents the Greedy Fast Causal Inference algorithm, adjusted as in *-FCI.
class	GfciOld	The GFCI class represents the Greedy Fast Causal Inference algorithm, adjusted as in *-FCI.
class	Gmas	GMAS: a latent-variable search that uses no independence tests.
class	GraspFci	GRaSP-FCI, an implentatation of *-FCI using GRaSP.
class	Icd	The Iterative Causal Discovery (ICD) algorithm.
class	IsGfci	IS-GFCI (Instance-Specific GFCI) wrapper for the algcomparison interface.
class	LvBossExperimental	Wrapper for LV-BOSS: the fully score-based latent-variable search that embeds a MAG projection inside a BOSS-style search over orders, scored by the exact RICF Gaussian MAG BIC (MagRicfBicScorer).
class	LvHeuristic	This class represents the FCIT algorithm, which is an implementation of the FGES-FCI algorithm for learning causal structures from observational data using the BOSS algorithm as an initial CPDAG and using all score-based steps afterward.
class	PagSampleRfci	PAG-Sampling-RFCI, the former name of the class now called PagSamplingRfci.
class	PagSamplingRfci	Jan 29, 2023 3:45:09 PM
class	Rfci	RFCI.
class	RfciBsc	Runs RFCI-BSC, which is RFCI with bootstrap sampling of PAGs.
class	SpFci	Adjusts GFCI to use a permutation algorithm (in this case SP) to do the initial steps of finding adjacencies and unshielded colliders.

Uses of HasParameters in edu.cmu.tetrad.algcomparison.algorithm.other

Classes in edu.cmu.tetrad.algcomparison.algorithm.other that implement HasParameters

Modifier and Type	Class	Description
class	FactorAnalysis	Factor analysis.
class	Glasso	GLASSO.
class	MimbuildBollen	Mimbuild Bollen.
class	MimbuildPca	Mimbuild PCA.
class	PythonGin	Deprecated.
class	Rlcd	Wrapper for the RLCD algorithm (Rank-based Latent Causal Discovery; Dong et al., ICLR 2024), which learns a graph over the observed variables and newly introduced latent variables from rank constraints on the covariance matrix.

Uses of HasParameters in edu.cmu.tetrad.algcomparison.algorithm.pairwise

Classes in edu.cmu.tetrad.algcomparison.algorithm.pairwise that implement HasParameters

Modifier and Type	Class	Description
class	FaskPw	FASK-PW (pairwise).
class	R1	R1.
class	R2	R2.
class	R3	R3.
class	Rskew	RSkew.
class	RskewE	RSkewE.
class	Skew	Skew.
class	SkewE	SkewE.
class	Tanh	Tanh.

Uses of HasParameters in edu.cmu.tetrad.algcomparison.independence

Subinterfaces of HasParameters in edu.cmu.tetrad.algcomparison.independence

Modifier and Type	Interface	Description
interface	BlockIndependenceWrapper	An interface that extends functionality of the IndependenceWrapper and HasParameters interfaces by adding support for block-specific configuration in independence testing.
interface	IndependenceWrapper	Interface that algorithm must implement.

Classes in edu.cmu.tetrad.algcomparison.independence that implement HasParameters

Modifier and Type	Class	Description
class	BasisExpandedGcm	Wrapper for BE-GCM (Basis-Expanded Generalised Covariance Measure Test).
class	BasisFunctionBlocksIndTest	Wrapper for BF-Blocks-Test.
class	BasisFunctionLrt	Wrapper for BF-LRT (Basis Function Likelihood Ratio Test).
class	BlocksIndTest	Deprecated.
class	BlocksIndTestLemma10	Deprecated.
class	BlocksIndTestTs	Wrapper for BF-Blocks-Test.
class	CciTest	Wrapper for Daudin Conditional Independence test.
class	ChiSquare	Wrapper for Fisher Z test.
class	ClFisherZPython	An IndependenceWrapper that runs the Fisher Z conditional independence test implemented in the Python causal-learn library, bridging it into Tetrad's IndependenceTest framework.
class	ClKciPython	An IndependenceWrapper that runs the Kernel-based Conditional Independence (KCI) test implemented in the Python causal-learn library, bridging it into Tetrad's IndependenceTest framework.
class	ClRcitPython	An IndependenceWrapper that runs the Randomized Conditional Independence Test (RCIT) implemented in the Python causal-learn library, bridging it into Tetrad's IndependenceTest framework.
class	ConditionalGaussianLrt	Wrapper for Fisher Z test.
class	Cord	Wrapper for the CORD conditional independence test backed by Eric's engine (IndTestCordEric): an omnibus, orthogonal rank-score test of Y ⊥ Z | X that is sensitive to higher-moment, tail, and co-volatility dependence which a covariance-based test (e.g., Fisher Z) cannot see.
class	DegenerateGaussianLrt	Wrapper for DG LRT.
class	DgBicTest	The SemBicTest class implements the IndependenceWrapper interface and represents a test for independence based on SEM BIC algorithm.
class	EquivalenceTest	Wrapper for the equivalence (TOST) test on the Fisher Z partial correlation.
class	FfCi	Wrapper for FFCI test with a reduced parameter set.
class	FfCiContinuous	Wrapper for FF-CI-Continuous test.
class	FisherZ	Wrapper for Fisher Z test.
class	Gcm	Wrapper for KCI test.
class	Gin	Wrapper for GIN (Generalized Independent Noise) residual-independence test.
class	GSquare	Wrapper for Fisher Z test.
class	Kci	Wrapper for KCI test.
class	MinimaxCITest	Wrapper for Minimax binning test.
class	MSeparationTest	Wrapper for M-separation test.
class	MultinomialLogisticRegressionWald	Wrapper for Fisher Z test.
class	Mvplrt	Deprecated.
class	PoissonBicTest	The SemBicTest class implements the IndependenceWrapper interface and represents a test for independence based on SEM BIC algorithm.
class	ProbabilisticTest	Dec 17, 2018 3:44:46 PM
class	RankIndependenceTestLemma10Singletons	Deprecated.
class	RankIndependenceTestTs	Rank Independence Test TS, the former name of the test now called Rank Independence Test TS Singletons.
class	RankIndependenceTestTsSingletons	Deprecated.
class	RankIndependenceTestWilkesSingletons	Deprecated.
class	Rcit	Wrapper for RCIT test.
class	SemBicTest	The SemBicTest class implements the IndependenceWrapper interface and represents a test for independence based on SEM BIC algorithm.
class	StratifiedRank	Wrapper for the stratified (domain-pooled) rank conditional independence test, IndTestStratifiedRank -- the Phase 1 test of LCD-NOD (Dong, Dai, Ng, Spirtes, and Zhang, ICML 2026).
class	TrekSeparationBlocksIndependence	Wrapper for Rank independence test.
final class	TRffLrTest	Wrapper for the TRFF likelihood-ratio CI test built on TRffBicScore.

Uses of HasParameters in edu.cmu.tetrad.algcomparison.score

Subinterfaces of HasParameters in edu.cmu.tetrad.algcomparison.score

Modifier and Type	Interface	Description
interface	BlockScoreWrapper	Represents an interface for scoring data models using predefined block structures.
interface	ScoreWrapper	Interface that algorithm must implement.

Classes in edu.cmu.tetrad.algcomparison.score that implement HasParameters

Modifier and Type	Class	Description
class	BasisFunctionBgeScore	Wrapper for BF-BGe, the BGe (Normal-Wishart marginal likelihood) score over the basis-function embedding that BF-BIC uses.
class	BasisFunctionBicScore	Wrapper for Basis Function BIC Score (Basis-BIC) version.
class	BasisFunctionBicScoreTabular	Wrapper for the full-sample (tabular) Basis Function BIC Score, delegating to BasisFunctionBicScoreFullSample.
class	BdeuScore	Wrapper for Fisher Z test.
class	BfBlocksBicScore	Wrapper for Blocks BIC Score (Blocks-BIC) version.
class	BgeScore	Wrapper for the BGe (Bayesian Gaussian equivalent) score, the Gaussian analog of BDeu: the local score is the exact log marginal likelihood of a family under a Normal-Wishart prior rather than a BIC-penalized maximum likelihood.
class	BlocksBicScore	Wrapper for Blocks BIC Score (Blocks-BIC) version.
class	ConditionalGaussianBicScore	Wrapper for Fisher Z test.
class	DegenerateGaussianBgeScore	Wrapper for DG-BGe, the BGe (Normal-Wishart marginal likelihood) score over the degenerate Gaussian indicator embedding that DG-BIC uses.
class	DegenerateGaussianBicScore	Wrapper for degenerate Gaussian BIC score
class	DiscreteBicScore	Wrapper for Discrete BIC test.
class	EbicScore	Wrapper for linear, Gaussian Extended BIC score (Chen and Chen).
class	FfMl	Wrapper for FF-ML MIxed Marginal Likelihood Score.
class	FfMlContinuous	Wrapper for FF Marginal Likelihood Score.
class	GicScores	The GicScores class is an implementation of the ScoreWrapper interface that calculates the Generalized Information Criterion (GIC) scores for a given data model.
class	HeavyTailSemBicScore	Wrapper for linear, Gaussian SEM BIC score.
class	HuangMarginalLikelihoodScore	// * Wrapper for Huang Marginal Likelihood Score.
final class	InstanceAugmentedSemBicScoreWrapper	Wrapper for InstanceAugmentedSemBicScore that: - pulls the testing DataSet from Params.TESTING_DATA (injected by the algorithm wrapper), - takes the instance row from Params.INSTANCE_ROW, - aligns columns by training variable names, - uses alpha from Params.IS_ALPHA (default 1.0).
final class	IsBDeuScoreWrapper	Wrapper for ISBDeuScore (discrete).
class	KcvBicScore	Wrapper for KVC BIC score.
class	KernelMarginalLikelihoodScore	Wrapper for Kernel Marginal Likelihood Score.
class	MagDgBicScore	Wrapper for degenerate Gaussian BIC score
class	MSepScore	Wrapper for Fisher Z test.
class	MVPBicScore	Deprecated.
class	PoissonPriorScore	Wrapper for the Poisson prior score (Bryan)
class	RankBicScore	Wrapper for linear, Gaussian SEM BIC score.
class	RffBicScore	Wrapper for linear, Gaussian SEM BIC score.
class	SemBicScore	Wrapper for linear, Gaussian SEM BIC score.
class	TRffBicScore	The TRffBicScore class is a scoring mechanism designed to evaluate the fit and complexity of a data model.
class	ZhangShenBoundScore	Wrapper for linear, Gaussian Extended BIC score (Chen and Chen).

Uses of HasParameters in edu.cmu.tetrad.algcomparison.simulation

Subinterfaces of HasParameters in edu.cmu.tetrad.algcomparison.simulation

Modifier and Type	Interface	Description
interface	Simulation	The interface that simulations must implement.

Classes in edu.cmu.tetrad.algcomparison.simulation that implement HasParameters

Modifier and Type	Class	Description
class	AdditiveNoiseSimulation	This class represents a Causal Perceptron Network.
class	BayesNetSimulation	Bayes net simulation.
class	ConditionalGaussianSimulation	A simulation method based on the conditional Gaussian assumption.
class	DaoSimulation	Implements the DAG-adaptation of the Onion (DaO) simulation method for generating linear data from a DAG, with exogenous errors drawn from one of the reference implementation's five variance-matched families (Gaussian by default; Exponential, Gumbel, Laplace, or Uniform via daoErrorDistribution), as described in:
class	DesignedExperimentSimulation	Simulates data with the anatomy of a designed physical experiment (the archetype is the NASA Airfoil Self-Noise dataset), in contrast to an observational sample.
class	GeneralAdditiveModel	Wrapper for the neural-net Generalized Additive Model (GAM) simulator.
class	GeneralNoiseSimulation	This class represents a Causal Perceptron Network.
class	GeneralSemSimulation	The GeneralSemSimulation class represents a simulation using a generalized structural equation model (SEM).
class	GeneralSemSimulationSpecial1	This was used for a simulation to test the FTFC and FOFC algorithm and contains some carefully selected functions to test nonlinearity and non-Gaussianity.
class	GpSemSimulation	NL SEM simulation.
class	HybridCgSimulation	This class represents a Simulation using Structural Equation Modeling (SEM).
class	LeeHastieSimulation	A version of the Lee and Hastic simulation.
class	LgMnarSimulation	This class represents a continuous MNAR simulation.
class	LinearFisherModel	Linear Fisher Model.
class	LinearSineSimulation	A simulation method based on the mixed variable polynomial assumption.
class	NonGaussianSemSimulation	A linear SEM simulation whose exogenous noises are drawn independently from the distribution given by the customNoiseExpression parameter (default Exp(1)) rather than from Gaussians.
class	NonlinearFunctionsOfLinear	This class represents a nonlinear functions of linear simulation.
class	ObservationalStudySimulation	Simulates data with the anatomy of a real observational scientific dataset (the archetype is the Algerian Forest Fires dataset, but with all complications defaulted off this is a plain mixed-data cross-sectional study).
class	PostnonlinearSem	This class represents a post-nonlinear SEM model.
class	SemSimulation	This class represents a Simulation using Structural Equation Modeling (SEM).
class	SemThenDiscretize	SEM the discretize.
class	SingleDatasetSimulation	A Simulation implementation that returns a single supplied data set.
class	StandardizedSemSimulation	Standardized SEM simulation.
class	TimeSeriesSemSimulation	Time series SEM simulation.
class	TrainedDagModel	Trained DAG model.

Uses of HasParameters in edu.cmu.tetrad.algcomparison.utils

Subinterfaces of HasParameters in edu.cmu.tetrad.algcomparison.utils

Modifier and Type	Interface	Description
interface	MultiDataSetScoreWrapper	A score wrapper that can construct its per-data-set scores jointly, coordinating any data-dependent representation choices across the data sets.

Classes in edu.cmu.tetrad.algcomparison.utils that implement HasParameters

Modifier and Type	Class	Description
final class	PooledIndependenceWrapper	The test-side counterpart of PooledScoreWrapper: builds the inner test on each pooled data set and combines them with IndTestMulti using Fisher's method (default) or Tippett's method on the per-data-set p-values, per Params.POOLED_TEST_METHOD (data sets are assumed independent of one another, e.g.
final class	PooledScoreWrapper	A score wrapper that pools several data sets into one IMaGES score built from an inner score wrapper.

Uses of HasParameters in edu.cmu.tetrad.data.simulation

Classes in edu.cmu.tetrad.data.simulation that implement HasParameters

Modifier and Type	Class	Description
class	LoadContinuousDataAndGraphs	Load data sets and graphs from a directory.
class	LoadContinuousDataAndSingleGraph	Load data sets and graphs from a directory.
class	LoadContinuousDataSmithSim	Load data sets and graphs from a directory.
class	LoadDataAndGraphs	Load data sets and graphs from a directory.
class	LoadDataFromFileWithoutGraph	Load data sets and graphs from a directory.