Nixtla/statsforecast
Lightning ⚡️ fast forecasting with statistical and econometric models.
PythonApache-2.0
Issues
- 3
- 1
- 1
Original vs Optimized Functions
#952 opened by yotambraun - 3
Ability to set the multiprocessing context (to "spawn") in `core.StatsForecast`.
#948 opened by christian-hnz - 0
[<Library component: Models|Core|etc...>] Unable to find details for the returned values
#950 opened by laniakea - 3
- 0
- 2
- 3
[ARIMA] Invalid memory accesses, integer overflows
#937 opened by filipcacky - 0
[MFLES] Seasonality prediction incorrect when forecasting multi-seasonal time series beyond one period
#938 opened by tehunter - 4
AutoETS Exception no model able to be fitted
#929 opened by webert6 - 2
Add non weighted moving average model
#928 opened by tackes - 0
Prophet API integration
#920 opened by marcozanotti - 4
ADAM model from R
#886 opened by ncooder - 0
- 13
`SeasonalNaive` (and other models) spend a lot of time acquiring thread locks
#898 opened by caseytomlin - 1
[Core] ImportError: cannot import name 'ThreadpoolController' from 'threadpoolctl' on Databricks
#912 opened by michal-mmm - 0
Auto MFLES - add forward method
#911 opened by GGA-PERSO - 0
make python requirements static
#909 opened by dimbleby - 3
[AutoARIMA] Major hidden bug in `auto_arima_f`
#897 opened by robert-robison - 1
- 0
StatsForecast: MSTL - confidence level gives same result as the point estimate - bug
#887 opened by lken-stripe - 2
[mstl_decomposition] add exogenous features support
#884 opened by JustM57 - 2
- 2
statsforecast coherence with R solution
#880 opened by ncooder - 2
MFLES clip number of arguments
#882 opened by atsangarides - 0
AutoARIMA coefficients names
#879 opened by Chaptyziok - 1
[Spark, cross-validation] Issue with ":" as model aliases using cross_validation in Spark
#878 opened by javiomotero - 6
fail to run ray example NotImplementedError: no registered dataset conversion for <class 'ray.data.dataset.Dataset'>"
#871 opened by lushunn - 0
ARIMA fit asymmetrical var_coef for some parameters
#847 opened by rlshuhart - 8
Exogenous Regressor having ValueError: could not broadcast input array from shape (53,3) into shape (52,3)
#867 opened by sm-ak-r33 - 1
add feature importance for statsforecast models that accept exogenous features
#868 opened by GGA-PERSO - 0
[AutoARIMA] when using AutoARIMA on a constant time series the forecast fitted values are zero no matter the constant.
#870 opened by omriKramer - 2
Problem with statsforecast mstl_decomposition
#857 opened by Jonathan-87 - 0
Theta Parameter to speed up training
#860 opened by tackes - 2
Can I use Exogenous features with AutoETS
#841 opened by sm-ak-r33 - 0
- 2
Dead links for several pages in docs
#838 opened by quant5 - 2
- 2
statsforecast: prediction fails if more than one model uses fallbackheuristic
#845 opened by EddyXorb - 4
ValueError: xreg is rank deficient
#826 opened by obiii - 1
MSTL can't use AutoETS as trend_forecaster
#840 opened by sm-ak-r33 - 3
Models: documented public methods/attributes to extract best parameters for Auto* models
#829 opened by yarnabrina - 2
Model evaluation documentation asserts that datasetsforecast is required, but it isn't
#833 opened by quant5 - 2
- 4
Auto_Ces "Exception: no model able to be fitted"
#830 opened by LGsus20 - 1
Should `forecast_fitted_values` also work for fitted models in addition to when forecast(fitted=True) is called?
#835 opened by quant5 - 2
Deprecate references to custom `evaluate_performace` function in favor of `utilsforecast.evaluation.evaluate`?
#834 opened by quant5 - 2
Problem getting fitted values using cross validation with a spark dataframe
#831 opened by Jonathan-87 - 1