__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 | |