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StochasticPrediction Class Reference

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#include <prediction.h>

Inheritance diagram for StochasticPrediction:

PredictionStrategy List of all members.

Public Methods

virtual void make (const StringMap &params)
virtual void train (const Matrix &traindata, int startmonth)
virtual Ref< Matrix > predict (const Matrix &testdata, int startmonth) const

Detailed Description

This might be a nice change for future.

Definition at line 379 of file prediction.h.


Member Function Documentation

virtual void make const StringMap &    params [virtual]
 

Initialization.

Reimplemented from PredictionStrategy.

virtual Ref<Matrix> predict const Matrix &    testdata,
int    startmonth
const [virtual]
 

Tests the data and returns the monthly predictions in matrix.

Must be implemented by prediction strategies.

Parameters:
startmonth  See train().

Reimplemented from PredictionStrategy.

virtual void train const Matrix &    traindata,
int    startmonth
[virtual]
 

Trains the learning method with the given data.

Must be implemented by prediction strategies.

Parameters:
startmonth  Zero-based month number for the first sample in the data. The month number can be in range 0-11, but only the last two digits are interpreted as months, so it can have values like 199905 or 9905.

Reimplemented from PredictionStrategy.


The documentation for this class was generated from the following file:
Generated on Thu Feb 10 20:06:45 2005 for Inanna by doxygen1.2.18