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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