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Forecast Combination Package

A Python package for combining forecasts.

Installation

Python 3.10 or newer is required.

Installing from PyPI

pip install forecast-combo[dashboard]
# Use pip install forecast-combo if you do not need dashboard or plotting support.

Installing the development version

git clone https://github.com/bank-of-england/forecast-combo.git
cd forecast-combo
pip install -e .

Quick demo

import forecast_evaluation as fe
import forecast_combo as fc

# Load forecast data
forecast_data = fe.ForecastData(load_fer=True)

# Initialise ForecastCombo
combo = fc.ForecastCombo(forecast_data=forecast_data)

# Fit the combination models
combo.fit(
    sources=["mpr", "baseline ar(p) model"],
    variables=["gdpkp", "cpisa"],
    method=["average", "least_squares"],
    training_start="2020-01-01",
)

# Launch the forecast evaluation dashboard
combo.run_forecast_dashboard()

Release files for forecast-combo 0.1.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for forecast-combo 0.1.0
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forecast_combo-0.1.0.tar.gz 61.3 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for forecast-combo 0.1.0
File Interpreter ABI Platform
forecast_combo-0.1.0-py3-none-any.whl Python 3 none any Details

Total release size: 99.5 kB

Release files / forecast_combo-0.1.0.tar.gz

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Size 61.3 kB
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Release files / forecast_combo-0.1.0-py3-none-any.whl

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0.1.1

2 release files

This release

0.1.0 This release

2 release files

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