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@joshuaspear joshuaspear released this 26 Jul 12:51
· 17 commits to master since this release
  • Altered ISEstimator and OPEEstimatorBase APIs to depend on EmpiricalMeanDenomBase and WeightDenomBase
    • EmpiricalMeanDenomBase and WeightDenomBase seperatly define functions over the dataset value and weights of the individul trajectory weights, respectively. This allows a far greater number of estimators to be flexibly implemented
  • Added api/StandardEstimators for IS and DR to allow for 'plug-and-play' analysis
  • Altered discrete torch propensity model to use softmax instead of torch. Requires modelling both classes for binary classification however, improves generalisability of code