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https://github.com/azulgarza/fforma
Python package for Feature-based Forecast Model Averaging (FFORMA).
https://github.com/azulgarza/fforma
ensambler forecasting hyndman montero python time-series
Last synced: 2 months ago
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Python package for Feature-based Forecast Model Averaging (FFORMA).
- Host: GitHub
- URL: https://github.com/azulgarza/fforma
- Owner: AzulGarza
- Created: 2020-02-02T05:54:14.000Z (almost 5 years ago)
- Default Branch: master
- Last Pushed: 2023-07-06T21:59:44.000Z (over 1 year ago)
- Last Synced: 2024-01-30T15:48:56.217Z (11 months ago)
- Topics: ensambler, forecasting, hyndman, montero, python, time-series
- Language: Python
- Homepage:
- Size: 132 MB
- Stars: 9
- Watchers: 3
- Forks: 1
- Open Issues: 5
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
[![Build](https://github.com/FedericoGarza/fforma/workflows/Python%20package/badge.svg?branch=master)](https://github.com/FedericoGarza/fforma/tree/master)
[![PyPI version fury.io](https://badge.fury.io/py/fforma.svg)](https://pypi.python.org/pypi/fforma/)
[![Downloads](https://pepy.tech/badge/fforma)](https://pepy.tech/project/fforma)
[![Python 3.6+](https://img.shields.io/badge/python-3.6+-blue.svg)](https://www.python.org/downloads/release/python-360+/)
[![License: MIT](https://img.shields.io/badge/License-MIT-green.svg)](https://github.com/FedericoGarza/fforma/blob/master/LICENSE)# Experiments
1. Create docker image and experiments directory.
```source
make init
```
1. Download datasets.
```source
make datasets
```1. Create base data (models to ensemble).
```source
make base dataset=tourism
```1. Compute ensemble benchmarks.
```source
make benchmarks dataset=tourism
```1. Run experiments.
```source
make run dataset=tourism model=ffnn splits=3 trials=200
```