|
|
--- |
|
|
title: Streamlit time series ExpSmoothing |
|
|
colorFrom: blue |
|
|
colorTo: red |
|
|
sdk: streamlit |
|
|
sdk_version: 1.19.0 |
|
|
app_file: src/main.py |
|
|
python_version: 3.10.6 |
|
|
pinned: false |
|
|
--- |
|
|
|
|
|
## Exponential Smoothing time series forecasting on ILINetDataset |
|
|
|
|
|
ILINetDataset is a dataset containing records of people going to their healthcare provider for ILI, which is defined as fever with cough and/or a sore throath. |
|
|
The dataset collects data from 1997 to 2022 and is correlated with data expressing also the amount of people going to healthcare provider per age interval. |
|
|
Predictions are computed with an exponential smoothing model |
|
|
|
|
|
## References |
|
|
|
|
|
* [darts quickstart](https://unit8co.github.io/darts/quickstart/00-quickstart.html#Covariates:-using-external-data) |
