Nixtla/hierarchicalforecast
Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
PythonApache-2.0
Issues
- 0
Package does not work with 3.12
#266 opened by Spen-D - 3
[Methods] Undesired conversion to a dense matrix
#261 opened by nulam - 1
- 6
dependency on `quadprog`
#256 opened by twobitunicorn - 3
Reconciliation w/ Fugue backend
#180 opened by webert6 - 2
- 4
[Core] Possible issue with core.py
#258 opened by mnajaria - 10
TopDown returns NaN
#255 opened by jmoralez - 6
TopDown method (proportion_averages, average_proportions) broken in 0.3.0, 0.4.0 and 0.4.1
#253 opened by jmberutich - 0
Wrong argument name in evaluation section of README
#250 opened by adia4 - 1
MinTraceSparse(nonnegative=True)
#239 opened by tbellamey - 1
[utils] HierarchicalPlot is not plotting
#251 opened by iamyihwa - 0
- 3
[Core] not balancing when doing aggregate()
#244 opened by iamyihwa - 2
Add temporal hierarchies
#241 opened by NasreddineD - 0
[Core][Enhancement]: Add dummies to Aggregate
#240 opened by NudnikShpilkis - 5
- 3
Sparse Methods Missing from 0.3.0
#234 opened by tbellamey - 0
Update evaluation example in `README`
#226 opened by baniasbaabe - 0
Example Tourism Small data setting mismatch
#164 opened by melopeo - 5
TypeError: can only concatenate str (not "pandas._libs.tslibs.offsets.MonthEnd") to str
#191 opened by pankaj-kvhld - 3
- 4
Broken aggregate function in main branch
#211 opened by candalfigomoro - 1
[utils] aggregate doesn't work correctly with most recent version of the code
#224 opened by iamyihwa - 2
- 0
Typo in introduction doc page
#192 opened by fjoanr - 2
`MinTrace` fails for zero-inflated Time Series with `res_methods` in `['wls_var', 'mint_cov', 'mint_shrink']`
#225 opened by baniasbaabe - 6
Exception: min_trace (wls_var) needs covariance matrix to be positive definite.
#223 opened by vinaybridge - 0
Test sets includes y as defined
#222 opened by ArnMrchl - 0
TopDown Approach doesn't raise Exception as expected with `method="forecast_proportions"`
#221 opened by baniasbaabe - 2
Using Deep Learning Methods
#219 opened by baniasbaabe - 10
[CORE] Getting 'Categorical categories must be unique' error during the aggregate step
#215 opened by iamyihwa - 1
[Utils][Bug] `aggregate` function fails with mixed dtype column. `ValueError: operands could not be broadcast together with shapes` ...
#216 opened by kdgutier - 0
- 1
- 0
from hierarchicalforecast.utils import aggregate
#202 opened by PetricaRadan - 0
[Core] Add support for polars
#201 opened by AzulGarza - 1
- 0
- 0
'forecast_proportions' method is implemented top-down reconciliation method ??
#194 opened by iamyihwa - 1
Inverse middle-out
#186 opened by candalfigomoro - 6
- 0
HierarchicalForecast dtypes and Nulls protections
#183 opened by kdgutier - 2
Typeerror: expected str instance,float found. With Null values in the Y_df dataframe.
#182 opened by NamrataRade - 4
Non-Negative MinTrace hangs forever
#178 opened by candalfigomoro - 3
Encountering LinAlgError despite validating data with isfinite() and isnan()
#174 opened by DennisToma - 1
MiddleOut with bootstrap fails.
#168 opened by melopeo - 3
PERMBU/Normality probabilistic reconciliation fail with `level=0` prediction interval
#165 opened by melopeo - 4
- 0
[DOC] Confusion on `Y_df` and `Y_fitted_df` inputs for residuals based reconciliation.
#162 opened by kdgutier