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Uses of Interface
com.sigmadynamics.sdo.interfaces.ModelInterface

Packages that use ModelInterface

com.sigmadynamics.sdo.base	Customizable base classes for generated ILS classes.
com.sigmadynamics.sdo.support	Base classes for generated ILS classes.
com.sigmadynamics.sdo.util
com.sigmadynamics.server.rtis.PredictionEngine	Platform support for prediction models.

Uses of ModelInterface in com.sigmadynamics.sdo.base

Classes in com.sigmadynamics.sdo.base that implement ModelInterface

class	ChoiceEventModel
class	ChoiceModel
class	Model User: ujjwalsingh Date: Aug 14, 2003

Uses of ModelInterface in com.sigmadynamics.sdo.support

Classes in com.sigmadynamics.sdo.support that implement ModelInterface

class	SDChoiceEventModel
class	SDChoiceModel
class	SDModel User: ujjwalsingh Date: Aug 14, 2003

Uses of ModelInterface in com.sigmadynamics.sdo.util

Fields in com.sigmadynamics.sdo.util declared as ModelInterface

protected ModelInterface[]

SDModelArray.buf

Fields in com.sigmadynamics.sdo.util with type parameters of type ModelInterface

(package private) java.util.HashSet<ModelInterface>

SDModelArray.set

Methods in com.sigmadynamics.sdo.util that return ModelInterface

ModelInterface	SDModelArray.get(int index) Returns the element at the specified position in this array.
ModelInterface[]	SDModelArray.toArray() Returns an array of ModelInterface containing all elements of this one.

Methods in com.sigmadynamics.sdo.util with parameters of type ModelInterface

void	SDModelArray.add(ModelInterface element) Appends the specified element to the end of this array.
boolean	SDModelArray.contains(ModelInterface element) Returns true if this array contains the specified element.
void	SDModelArray.fill(int fromIndex, int toIndex, ModelInterface element) Replaces a group of consequtive elements of this array with the same value.
void	SDModelArray.fill(ModelInterface element) Replaces all elements of this array with the same value.
static int	SDModelArray.indexOf(ModelInterface element, ModelInterface[] array) Returns the index in an array of the first occurence of the specified element, or -1 if the array does not contain such element.
static int	SDModelArray.indexOf(ModelInterface element, ModelInterface[] array) Returns the index in an array of the first occurence of the specified element, or -1 if the array does not contain such element.
void	SDModelArray.set(int index, ModelInterface element) Replaces the element at the specified position in this array with the specified element.
void	SDModelArray.toArray(ModelInterface[] array) Copies elements to a given array.

Method parameters in com.sigmadynamics.sdo.util with type arguments of type ModelInterface

void	SDModelArray.sort(java.util.Comparator<ModelInterface> c) Sorts the array of objects according to the order induced by the specified comparator.

Uses of ModelInterface in com.sigmadynamics.server.rtis.PredictionEngine

Methods in com.sigmadynamics.server.rtis.PredictionEngine with parameters of type ModelInterface

void	PredictorInterface.getExpectedValues(ModelInterface model, InputProvider input, ValueFilter[] outputFilter, SDDoubleArray values) Returns predicted numeric values for a set of values of partitioning attributes specified by an output filter.
void	PredictorInterface.getExpectedValues(ModelInterface model, InputProvider input, ValueFilter[] outputFilter, SDDoubleArray values, SDDoubleArray standardDeviations) Returns predicted numeric values and their standard deviations for a set of values of partitioning attributes specified by an output filter.
void	PredictorInterface.getLikelihoods(ModelInterface model, InputProvider input, ValueFilter[] outputFilter, SDDoubleArray likelihoods, boolean relaxed) Returns predicted likelihoods for a set of values of target and partitioning attributes specified by an output filter.
void	PredictorInterface.getLikelihoods(ModelInterface model, InputProvider input, ValueFilter[] outputFilter, SDDoubleArray likelihoods, SDDoubleArray standardDeviations, boolean relaxed) Returns predicted likelihoods for a set of values of target and partitioning attributes specified by an output filter.
int	PredictorInterface.getModelCount(ModelInterface model, ValueFilter[] outputFilter, ModelCount modelCount)
float	PredictorInterface.getModelError(ModelInterface model, ValueFilter[] outputFilter, ModelError modelError)
float	PredictorInterface.getModelLift(ModelInterface model, ValueFilter[] outputFilter, ModelLift modelLift)
float	PredictorInterface.getModelQuality(ModelInterface model, ValueFilter[] outputFilter)
void	PredictorInterface.getMostLikelyValues(ModelInterface model, InputProvider input, ValueFilter[] outputFilter, int outputAttributeId, int n, SDStringArray values, SDDoubleArray likelihoods) Returns predicted most likely values of a given attribute.
PredictionContribution[][]	PredictorInterface.getWhy(ModelInterface model, InputProvider input, ValueFilter[] outputFilter, int topN) Returns a list of attribute values that contribute the most to the model score.
void	PredictorInterface.learn(ModelInterface[] models, InputProvider inputProvider, LearningRecordWriterFactoryInterface learningRecordWriterFactory, long msTimestamp) Supplies learning information to the Prediction Engine.
void	PredictorInterface.learn(ModelInterface[] models, InputProvider inputProvider, long msTimestamp) Supplies learning information to the Prediction Engine.
void	PredictorInterface.learn(ModelInterface[] models, InputProvider inputProvider, SessionInterface session, long msTimestamp) Supplies learning information to the Prediction Engine.
ValueFilter[]	PredictorInterface.makeExplicitFilter(ModelInterface model, ValueFilter[] filter) Creates an explicit representation of a filter by filling in missing values, numeric intervals and missing sub-filters.

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