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Uses of Interface
com.sigmadynamics.server.rtis.PredictionEngine.InputProvider

Packages that use InputProvider

com.sigmadynamics.sdo.base	Customizable base classes for generated ILS classes.
com.sigmadynamics.sdo.interfaces	Interfaces implemented by generated ILS code.
com.sigmadynamics.sdo.support	Base classes for generated ILS classes.
com.sigmadynamics.server.rtis.PredictionEngine	Platform support for prediction models.

Uses of InputProvider in com.sigmadynamics.sdo.base

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

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

Uses of InputProvider in com.sigmadynamics.sdo.interfaces

Subinterfaces of InputProvider in com.sigmadynamics.sdo.interfaces

interface

ModelInterface Implemented by Choice, Choice Event, and plain Learning Models.

Uses of InputProvider in com.sigmadynamics.sdo.support

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

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

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

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

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.
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.

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