This task is to provide a way to split a sample using an estimator/ML model.
We already have a mc.split method that splits self into two new objects by mass.
We also have an mc.apply_partition method that will split using a partition on the index.
We should consider renaming all 3 methods similarly for consistency.
Of course the model will ideally preserve mass, however MCNetwork's job is to advise us of this.
Additionally, any out-of-range estimates on the resultant 2 objects will be flagged under the status property.
This task is to provide a way to split a sample using an estimator/ML model. We already have a
mc.split
method that splits self into two new objects by mass. We also have anmc.apply_partition
method that will split using a partition on the index. We should consider renaming all 3 methods similarly for consistency.Of course the model will ideally preserve mass, however MCNetwork's job is to advise us of this. Additionally, any out-of-range estimates on the resultant 2 objects will be flagged under the
status
property.