Feat/Example notebook for the regression models

[madtoinou]

Fixes #588, fixes #1289.

Summary

Example notebook for regression models, covering both some basics and advanced features :

• basics about lags, forecast based on covariates only, component-specific lags
• impact of multi_model when ouput_chunk_length > 1, visualization of the data tabularization depending on the value of multi_model
• darts probabilistic forecasting, including direct inference of the distribution parameters
• sklearn-like models: built-in and custom implementations
• external librairies
• brief section about explainability

The example are mostly illustrative : they were not optimized for accuracy but aim at displaying how the various features can be used and their impact compared to the default parameters. The dataset was not studied in depth to extract correlation and no observation about the data are made.

Other Information

• Added new dataset ElectricityConsumptionZurichDataset: The dataset contains the electricity consumption of households in Zurich, Switzerland from 2015-2022 on different grid levels. We also added weather measurements for Zurich which can be used as covariates for modelling.

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Codecov Report

Attention: 1 lines in your changes are missing coverage. Please review.

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Files	Coverage Δ
darts/datasets/__init__.py	100.00% <100.00%> (ø)
darts/datasets/dataset_loaders.py	90.90% <85.71%> (-0.59%)	⬇️

... and 5 files with indirect coverage changes

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[dennisbader]

Thanks @madtoinou , a notebook for regression models was really needed 🚀
So far, I just added some suggestions for the documentation, will start reviewing the notebook in a bit.

[dennisbader]

Very nice, thanks a lot @madtoinou 🚀