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Merge pull request #490 from unit8co/release-0.12.0
release 0.12.0
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CHANGELOG.md

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Darts is still in an early development phase and we cannot always guarantee backwards compatibility. Changes that may **break code which uses a previous release of Darts** are marked with a "🔴".
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## [Unreleased](https://github.com/unit8co/darts/tree/master)
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[Full Changelog](https://github.com/unit8co/darts/compare/0.11.0...master)
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[Full Changelog](https://github.com/unit8co/darts/compare/0.12.0...master)
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## [0.12.0](https://github.com/unit8co/darts/tree/0.12.0) (2021-09-25)
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### For users of the library:
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**Added**:
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- Improved probabilistic forecasting with neural networks
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- Now all neural networks based forecasting models (except `NBEATSModel`) support probabilistic forecasting,
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by providing the `likelihood` parameter to the model's constructor method.
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- `darts.utils.likelihood_models` now contains many more distributions. The complete list of likelihoods
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available to train neural networks based models is
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available here: https://unit8co.github.io/darts/generated_api/darts.utils.likelihood_models.html
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- Many of the available likelihood models now offer the possibility to specify "priors" on the distribution's
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parameters. Specifying such priors will regularize the training loss to make the output distribution
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more like the one specified by the prior parameters values.
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- Performance improvements on `TimeSeries` creation. creating `TimeSeries` is now be significantly faster,
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especially for large series, and filling missing dates has also been significantly sped up.
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- New rho-risk metric for probabilistic forecasts.
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- New method `darts.utils.statistics.plot_hist()` to plot histograms of time series data (e.g. backtest errors).
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- New argument `fillna_value` to `TimeSeries` factory methods, allowing to specify a value to fill missing dates
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(instead of `np.nan`).
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- Synthetic `TimeSeries` generated with `darts.utils.timeseries_generation` methods can now be integer-index
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(just pass an integer instead of a timestamp for the `start` argument).
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- Removed some deprecation warnings
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- Updated conda installation instructions
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**Fixed:**
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- Removed [extra 1x1 convolutions](https://github.com/unit8co/darts/issues/470) in TCN Model.
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- Fixed an issue with linewidth parameter when plotting `TimeSeries`.
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- Fixed a column name issue in datetime attribute time series.
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### For developers of the library:
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- We have removed the `develop` branch.
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- We force sklearn<1.0 has we have observed issues with pmdarima and sklearn==1.0
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## [0.11.0](https://github.com/unit8co/darts/tree/0.11.0) (2021-09-04)
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### For users of the library:

setup_u8darts.py

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setup(
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name='u8darts',
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version="0.11.0",
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version="0.12.0",
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description='A python library for easy manipulation and forecasting of time series.',
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long_description=LONG_DESCRIPTION,
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long_description_content_type="text/markdown",

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