Nixtla mlforecast issues

Nixtla / mlforecast

Scalable machine 🤖 learning for time series forecasting.

https://nixtlaverse.nixtla.io/mlforecast

Apache License 2.0

787 stars 74 forks source link

issues

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support prediction intervals in auto

#370 jmoralez closed 1 day ago
1
add polars extra

#368 jmoralez closed 3 days ago
1
setup pre-commit

#367 jmoralez closed 1 week ago
0
support polars 1.0

#366 jmoralez closed 1 week ago
1
Bump the ci-dependencies group with 4 updates

#365 dependabot[bot] closed 1 week ago
1
Get different performances on different devices

#360 kkckk1110 opened 1 week ago
1
[core/auto] Cannot reproduce Hyperparameter Tuning tutorial due to an import error on v0.13.0

#359 ds-qst closed 1 week ago
5
[core] perform more validations on update

#358 jmoralez opened 2 weeks ago
0
LightGBMCV: Ability to split CV object TS/data generation from LGBM Booster creation

#356 philipmassie closed 2 weeks ago
2
Seg fault with numpy 2.0 - possibly just from Polars

#354 braaannigan closed 3 days ago
3
Custom prediction intervals

#353 adriaanvh1 opened 3 weeks ago
0
add fitted argument to AutoMLForecast.fit

#351 jmoralez closed 3 weeks ago
1
LightGBM + GroupedArray._tail() + num_threads>1

#350 michal-mmm closed 3 weeks ago
3
Unable to make forecasts on new data

#347 denwolff closed 1 month ago
4
Multi-Step Training Predictions

#346 samuel-gerstein opened 1 month ago
0
ValueError on make_future_dataframe

#344 matsuobasho closed 1 month ago
3
All series are too short for the cross validation settings

#343 matsuobasho closed 1 month ago
0
SHAP with exogenous features

#342 kkckk1110 closed 1 month ago
4
set `refit=False` and `results_` as dict in AutoMLForecast

#341 jmoralez closed 1 month ago
1
speedup date features

#340 jmoralez closed 2 months ago
1
Electricity load tutorial problem

#338 matsuobasho closed 1 month ago
3
[core] speed up date features calculation

#337 jmoralez closed 2 months ago
0
Found missing inputs in X_df. It should have one row per id and time for the complete forecasting horizon.

#336 aaron9980 closed 2 months ago
13
Create CODE_OF_CONDUCT.md

#335 tracykteal closed 2 months ago
0
[Custom Training] Add custom training for Cross Validation

#334 VictorMichonIntelcom opened 2 months ago
0
fix: fitted nonrecursive cv with horizon >= 10

#333 adriaanvh1 closed 2 months ago
1
fix: fitted nonrecursive cv with horizon >= 10

#332 adriaanvh1 closed 2 months ago
2
Not enough models trained in cross_validation with fitted=True and horizon > 9

#331 adriaanvh1 closed 2 months ago
0
fix cv fitted values with prediction intervals

#330 jmoralez closed 2 months ago
1
MLForecast LinearRegression Isn't Applied to Each Unique Id Time Series Seperately

#329 negodfre closed 3 months ago
1
MLForecast - Support historic covariates out of the box

#328 Vitorbnc closed 3 months ago
3
Cross validation with prediction_intervals and in-sample predictions enabled lacks folds

#327 adriaanvh1 closed 2 months ago
0
add DistributedMLForecast.update

#324 jmoralez closed 4 months ago
1
Forecasting produces nearly horizontal results

#323 kkckk1110 closed 4 months ago
4
[MLForecast] Add the possibility to pass custom parameters to the fit function

#322 helderPereira22 closed 1 month ago
6
Unbale to do LogTransformation using target_transformation

#321 obiii closed 4 months ago
2
get performance on training set

#320 kkckk1110 closed 3 months ago
2
Mlforecast + AutoDifferences + fitted=True

#319 GGA-PERSO opened 4 months ago
2
[distributed]: allow for .ts.update in DistributedMLForecast

#317 maxi-marufo closed 4 months ago
3
[Core] getting an error module 'coreforecast.lag_transforms' has no attribute 'BaseLagTransform'

#316 iamyihwa closed 4 months ago
3
[date features]: dayofweek_cat - day of week as a one hot encoding feature

#315 nelsoncardenas opened 4 months ago
4
ensure coreforecast is installed for AutoDifferences

#314 jmoralez closed 4 months ago
1
Lag feature: how initial values are treated or populated once the data has been shifted?

#313 MaxSunDaxwell closed 4 months ago
2
AutoDifferences, AutoSeasonalityAndDifferences result in "AttributeError: 'NoneType' object has no attribute 'AutoDifferences'"

#312 jack-fletch closed 4 months ago
2
migrate to coreforecast

#311 jmoralez closed 4 months ago
1
add auto differences

#310 jmoralez closed 4 months ago
1
[MLForecast: test set eval and early stopping ]

#309 Djuseppe closed 4 months ago
2
[Model] Distributed and Non-distributed version of the models giving different result

#308 iamyihwa closed 4 months ago
8
Fcst.predict does not accept X_df with dynamic exogenous variables

#307 melissafeeney closed 5 months ago
2
add auto module for hyperparameter optimization

#306 tblume1992 closed 2 months ago
2