openstef
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OpenSTEF
Automated Machine Learning pipelines. Builds the Open Short Term Energy Forecasting package.
Line 36 and line 35 ```sh 35 * **Post processing**: is called by pipelines to post process forecasting (e.g. combine forecast dataframe with extra configuration information from prediction job or...
Bumps [jinja2](https://github.com/pallets/jinja) from 3.0.0 to 3.1.3. Release notes Sourced from jinja2's releases. 3.1.3 This is a fix release for the 3.1.x feature branch. Fix for GHSA-h5c8-rqwp-cp95. You are affected if...
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Bumps [black](https://github.com/psf/black) from 23.9.1 to 24.3.0. Release notes Sourced from black's releases. 24.3.0 Highlights This release is a milestone: it fixes Black's first CVE security vulnerability. If you run Black...
When I want to install openstef I get the following error: note: This error originates from a subprocess, and is likely not a problem with pip. ERROR: Failed building wheel...
The `MAXIMUM_MODEL_AGE` is hardcoded to 7 days (in `pipeline/train_model.py`). While I consider this a reasonable default, I would find it useful to be able to override the default by setting...
# Pipeline Configuration: pj = PredictionJobDataClass( id=102, model='linear', quantiles=[0.1,0.3,0.5,0.7,0.9], forecast_type="load", lat=19.0760, lon=72.8777, horizon_minutes=24*60, resolution_minutes=60, name="Mumbai", # hyper_params={}, # feature_names=None, default_modelspecs=None, save_train_forecasts=True, ) # Training Forecast: start = time.time() train_model_pipeline( pj,...
An outlier in the input data can cause unrealistic forecasts. Ideally, these would be checked. Concrete example:  Forecast: 
Unittest currently does work offline, but not in Github Action. The test is now skipped. Desired: The test is no longer skipped. See also: #466