removed obsolete comment from javadoc
@@ -15,7 +15,6 @@ public class SamplingModelFitter<INPUT, OUTPUT> implements ModelFitter<INPUT, OU
* This fitter uses a {@link PosteriorSamplingAlgorithm}, in contrast to the {@link MAPModelFitter} and {@link MaximumLikelihoodModelFitter}, which use gradient methods.
*
* The model's latent vertices will have their values set to the average over the samples.
- * A down-sample of 2 is used (not configurable).
*
* @param modelGraph The graph to fit
* @param samplingAlgorithm The algorithm to use, e.g. {@link io.improbable.keanu.algorithms.mcmc.MetropolisHastings}
