# Transductive Conformal Predictor

In basic conformal prediction the goal is to predict the label of a test object given a training set . In transductive conformal prediction, we are given a set of test objects and the goal is to predict their labels without getting any intermediate feedback. This is motivated by the general problem of transduction in machine learning.

References

• Vladimir Vapnik (2000). The Nature of Statistical Learning Theory, 2nd edition. Springer, New York. Transductive inference is discussed in Chapter 9.
• Vladimir Vovk (2013). Transductive conformal predictors, On-line Compression Modelling Project (New Series), Working Paper 8.