Uses of Package
org.drip.learning.bound
| Package | Description |
|---|---|
| org.drip.learning.bound |
Covering Numbers, Concentration, Lipschitz Bounds
|
| org.drip.learning.rxtor1 |
Statistical Learning Empirical Loss Penalizer
|
| org.drip.spaces.cover |
Vector Spaces Covering Number Estimator
|
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Classes in org.drip.learning.bound used by org.drip.learning.bound Class Description CoveringNumberLossBound CoveringNumberLossBound provides the Upper Probability Bound that the Loss/Deviation of the Empirical from the Actual Mean of the given Learner Class exceeds 'epsilon', using the Covering Number Generalization Bounds. -
Classes in org.drip.learning.bound used by org.drip.learning.rxtor1 Class Description CoveringNumberLossBound CoveringNumberLossBound provides the Upper Probability Bound that the Loss/Deviation of the Empirical from the Actual Mean of the given Learner Class exceeds 'epsilon', using the Covering Number Generalization Bounds.MeasureConcentrationExpectationBound MeasureConcentrationExpectationBound provides the Upper Bound of the Expected Loss between Empirical Outcome and the Prediction of the given Learner Class using the Concentration of Measure Inequalities. -
Classes in org.drip.learning.bound used by org.drip.spaces.cover Class Description DiagonalOperatorCoveringBound DiagonalOperatorCoveringBound implements the Behavior of the Bound on the Covering Number of the Diagonal Scaling Operator.