🚀 Feature Request
Add model based on Croston's method for intermittent demand.
We could also try to implement some variations of this method.
Proposal
Add CrostonModel.
- It could be implemeted as per-segment model using
BaseAdapter and PerSegmentModelMixin (look at ProphetModel for reference)
- It could be implemented as
NonPredictionIntervalContextIgnorantAbstractModel that saves the answer during the fit
- During fit it should raise a warning that it doesn't work with exogenous features, look at
SeasonalMovingAverageModel
References:
To discuss:
- Should it be our own implementation or some external package can be used (statsforecast for example)
- We should try to make our own implementation
Test cases
- Tests for the model itself
- Inference tests in
tests/test_models/test_inference/.
Additional context
No response
🚀 Feature Request
Add model based on Croston's method for intermittent demand.
We could also try to implement some variations of this method.
Proposal
Add
CrostonModel.BaseAdapterandPerSegmentModelMixin(look atProphetModelfor reference)NonPredictionIntervalContextIgnorantAbstractModelthat saves the answer during thefitSeasonalMovingAverageModelReferences:
To discuss:
Test cases
tests/test_models/test_inference/.Additional context
No response