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)
| File | Size | Uploaded | |
|---|---|---|---|
| forecast_combo-0.1.1.tar.gz | 59.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| 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
| Download URL | forecast_combo-0.1.1.tar.gz |
|---|---|
| Size | 59.8 kB |
| Tags | Source |
|
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| Size | 37.6 kB |
| Tags | Python 3 |
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| Uploaded via |
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|
Provenance
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