Comments (4)
Hey @iamyihwa and @candalfigomoro,
There is work to be merged that greatly improves the computational efficiency of the MinTrace
method.
In between if you are interested in non-negative coherent predictions I suggest you to take a look to the HINT
method we recently added to the NeuralForecast library. You can combine non-negative distributions (Poisson, NegativeBinomial, Tweedie, PoissonMixture) and BottomUp or MinTrace (with efficiency improvements) type reconciliations.
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Having similar issue.
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Sure will do Thanks @kdgutier !!!
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@kdgutier Looks cool!
Unfortunately with my current forecasting problem, reconciliation with MinTrace or BottomUp doesn't seem to work well and the only reconciliation method that seems to work well in my specific case seems to be MiddleOut (lower levels are very intermittent so a top-down method from an intermediate level works better, while a bottom-up method works better for higher levels which are otherwise underestimated by NHITS).
Are there any plans to integrate other reconciliation methods into HINT?
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Related Issues (20)
- [Core][Bug] Unbalanced base predictions fail to reshape for`reconciler_args`
- [CORE] Getting 'Categorical categories must be unique' error during the aggregate step HOT 10
- [Utils][Bug] `aggregate` function fails with mixed dtype column. `ValueError: operands could not be broadcast together with shapes` ... HOT 1
- Using Deep Learning Methods HOT 2
- TopDown Approach doesn't raise Exception as expected with `method="forecast_proportions"`
- Test sets includes y as defined
- Exception: min_trace (wls_var) needs covariance matrix to be positive definite. HOT 6
- [utils] aggregate doesn't work correctly with most recent version of the code HOT 1
- `MinTrace` fails for zero-inflated Time Series with `res_methods` in `['wls_var', 'mint_cov', 'mint_shrink']` HOT 2
- Update evaluation example in `README`
- hierarchicalforecast.core - 'list' object has no attribute 'insample' - HOT 2
- Sparse Methods Missing from 0.3.0 HOT 3
- StatsForecast models producing NotImplementedError: tiny datasets in 0.4.0 HOT 5
- MinTraceSparse(nonnegative=True) HOT 1
- [Core][Enhancement]: Add dummies to Aggregate
- Add temporal hierarchies HOT 2
- [Core] not balancing when doing aggregate() HOT 3
- [Core] KaTex parse error: Can't use function '$' in math mode
- Wrong argument name in evaluation section of README
- [utils] HierarchicalPlot is not plotting HOT 1
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