| __init__(self) | python.uq.learner.Interpolant.Interpolant | |
| alpha | python.uq.learner.Interpolant.Interpolant | |
| doLearningIteration(self, points) | python.uq.learner.Interpolant.Interpolant | |
| evalError(self, data, alpha) | python.uq.learner.Interpolant.Interpolant | |
| getErrorPerSample(self, dtype="train") | python.uq.learner.Interpolant.Interpolant | |
| getL1NormError(self, dtype="train") | python.uq.learner.Interpolant.Interpolant | |
| getL2NormError(self, dtype="train") | python.uq.learner.Interpolant.Interpolant | |
| getMaxError(self, dtype="train") | python.uq.learner.Interpolant.Interpolant | |
| getMinError(self, dtype="train") | python.uq.learner.Interpolant.Interpolant | |
| getMSE(self, dtype="train") | python.uq.learner.Interpolant.Interpolant | |
| getSize(self, dtype="train") | python.uq.learner.Interpolant.Interpolant | |
| learnData(self, dataset=None, args, kws) | python.uq.learner.Interpolant.Interpolant | |
| learnDataWithTest(self, dataset=None, args, kws) | python.uq.learner.Interpolant.Interpolant | |
| testErrors | python.uq.learner.Interpolant.Interpolant | |
| trainErrors | python.uq.learner.Interpolant.Interpolant | |
| updateResults(self, alpha, trainSubset, testSubset=None, dtype=KnowledgeTypes.SIMPLE) | python.uq.learner.Interpolant.Interpolant | |