Class LARSFitting.Estimators
- java.lang.Object
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- dev.nm.stat.regression.linear.lasso.lars.LARSFitting.Estimators
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- Enclosing class:
- LARSFitting
public static class LARSFitting.Estimators extends Object
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description List<Double>
A()
Gets the estimated sequence of A.List<Integer>
actions()
Gets the the sequence of actions taken.List<Vector>
betas()
Gets the sequence of betas.List<Double>
gamma()
Gets the estimated sequence of gamma (arc length).List<Double>
max_abs_cor()
Gets the estimated sequence of maximal absolute correlations.Matrix
scaledBetas()
Gets the entire sequence of estimated (LARS) regression coefficients, scaled by the L2 norm of each row.
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Method Detail
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scaledBetas
public Matrix scaledBetas()
Gets the entire sequence of estimated (LARS) regression coefficients, scaled by the L2 norm of each row.- Returns:
- the entire sequence of estimated (LARS) regression coefficients
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max_abs_cor
public List<Double> max_abs_cor()
Gets the estimated sequence of maximal absolute correlations.- Returns:
- the estimated sequence of maximal absolute correlations
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gamma
public List<Double> gamma()
Gets the estimated sequence of gamma (arc length).- Returns:
- the estimated sequence of gamma (arc length)
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