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Forecast Combination Package

A Python package for combining forecasts.

Installation

Python 3.10 or newer is required.

Install from PyPI

pip install forecast-combo[dashboard]
# Omit the extra when you need only the core package.

Install the development version

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

Quick Start

import forecast_evaluation as fe
import forecast_combo as fc

# Load the FER dataset.
forecast_data = fe.ForecastData(load_fer=True)

# Create the combiner.
combo = fc.ForecastCombo(forecast_data=forecast_data)

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

# Start the forecast evaluation dashboard.
combo.run_forecast_dashboard()

Data Classification

Bank of England Data Classification: OFFICIAL BLUE

Release files for forecast-combo 0.1.1

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 0.1.1
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Table of built distributions (wheels) for forecast-combo 0.1.1
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forecast_combo-0.1.1-py3-none-any.whl Python 3 none any Details

Total release size: 97.3 kB

Release files / forecast_combo-0.1.1.tar.gz

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0.1.0

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