https://github.com/niklasvonm/ensemblelearning

Python package for optimal aggregation of bagged ensemble models
https://github.com/niklasvonm/ensemblelearning

ensemble-model machine-learning

Last synced: about 1 year ago
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Python package for optimal aggregation of bagged ensemble models

• Host: GitHub
• URL: https://github.com/niklasvonm/ensemblelearning
• Owner: NiklasvonM
• License: mit
• Created: 2023-04-09T07:23:54.000Z (about 3 years ago)
• Default Branch: main
• Last Pushed: 2024-02-15T22:08:49.000Z (over 2 years ago)
• Last Synced: 2025-01-27T05:48:17.382Z (over 1 year ago)
• Topics: ensemble-model, machine-learning
• Language: Python
• Homepage:
• Size: 78.1 KB
• Stars: 3
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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# EnsembleLearning

## Usage

```python

from ensemble_learning.local_weights import local_weights

predictions = [1, 3, 5, 7, 9]

target = 5

weights = local_weights(predictions, target)

print("Weights:", weights)

```

## Examples

There is an example demonstrating how to use the module with time series forecasting models, such as ARIMA, Exponential Smoothing, and Prophet. To run the example, you need to install additional dependencies:

```bash

pip install ensemble-learning[examples]

python examples/time_series_local_weights.py

```