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OpenSTEF / repository
Provides Jupyter Notebooks showing how to use OpenSTEF and apply its functionality to your usecase
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Very basic examples showing how you can use OpenSTEF in a jupyter notebook on your local machine.
You can also use Binder to explore the notebooks in an online, interactive environment.
The following example notebooks are available: 01. Train a model using high-level pipelines 02. Train a model and perform a backtest 03. Train a model and make a forecast 04. Split net load into components using DAZLs 05. Obtain derived features 06. Analyzing perturbed inputs
Install:
pip install -r requirements.txt
Run:
jupyter notebook
This project is licensed under the Mozilla Public License, version 2.0 - see LICENSE for details.
This project includes third-party libraries, which are licensed under their own respective Open-Source licenses. SPDX-License-Identifier headers are used to show which license is applicable. The concerning license files can be found in the LICENSES directory.
Please read CODE_OF_CONDUCT.md, CONTRIBUTING.md and PROJECT_GOVERNANACE.md for details on the process for submitting pull requests to us.
Please read SUPPORT.md for how to connect and get into contact with the OpenSTEF project
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