-
For the API design proposal, see [this wiki entry](https://github.com/alan-turing-institute/sktime/wiki/Forecasting-API-proposal).
## Forecasters
### Atomic
- [x] NaiveForecaster (strategies={"l…
-
PyAF uses an **iterated one-step ahead forecasting**, that is , the same model (signal transformation + signal decomposition) forecast is iterated one-step at a time.
Other forecasting strategies d…
-
## About
At [^1][^2], we shared a few notes about time series anomaly detection, and forecasting/prediction. Other than using traditional statistics-based time series forecasting methods like [Holt…
amotl updated
1 month ago
-
Error metrics such as the MASE and RMSSE require computing scaling factors from the target variable in the training set. Currently there is no way to compute these metrics. It would be nice functional…
-
1. How to select an ideal forecasting method? (~ Ward et al. 2014)
* evaluate forecasting approaches across different time series
* do time series properties influence which methods (or para…
ha0ye updated
5 years ago
-
Is it possible to perform multi-objective input and multi-objective output? I see that the tutorial uses single output
-
With the release of WRF v4.6.0, I have conducted a series of evaluations on the Weather Research and Forecasting Model Chemistry (WRF-Chem) version 4.6.0, utilizing the Intel LLVM Compilers and associ…
-
## Arxiv/Blog/Paper Link
https://arxiv.org/pdf/2206.13816.pdf
## Detailed Description
Uses GNN for time series forecasting, including of solar power data. Not directly weather, but putting here a…
-
**Describe the bug**
While attempting the experiment of global forecasting using `ReconcilerForecaster` and `LightGBMRegressor` during `.fit()`, the pipeline raises 2 errors
1. About a different for…
-
When tuning hyperparameters for non time-series data, normally one would split the dataset into training set, validation set and test set. The validation set is then used to test which set of hyperpar…