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Merge pull request #490 from unit8co/release-0.12.0
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release 0.12.0
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hrzn authored Sep 25, 2021
2 parents 1686016 + 7145851 commit b096437
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35 changes: 34 additions & 1 deletion 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 "🔴".

## [Unreleased](https://github.com/unit8co/darts/tree/master)
[Full Changelog](https://github.com/unit8co/darts/compare/0.11.0...master)
[Full Changelog](https://github.com/unit8co/darts/compare/0.12.0...master)

## [0.12.0](https://github.com/unit8co/darts/tree/0.12.0) (2021-09-25)
### For users of the library:

**Added**:
- Improved probabilistic forecasting with neural networks
- Now all neural networks based forecasting models (except `NBEATSModel`) support probabilistic forecasting,
by providing the `likelihood` parameter to the model's constructor method.
- `darts.utils.likelihood_models` now contains many more distributions. The complete list of likelihoods
available to train neural networks based models is
available here: https://unit8co.github.io/darts/generated_api/darts.utils.likelihood_models.html
- Many of the available likelihood models now offer the possibility to specify "priors" on the distribution's
parameters. Specifying such priors will regularize the training loss to make the output distribution
more like the one specified by the prior parameters values.
- Performance improvements on `TimeSeries` creation. creating `TimeSeries` is now be significantly faster,
especially for large series, and filling missing dates has also been significantly sped up.
- New rho-risk metric for probabilistic forecasts.
- New method `darts.utils.statistics.plot_hist()` to plot histograms of time series data (e.g. backtest errors).
- New argument `fillna_value` to `TimeSeries` factory methods, allowing to specify a value to fill missing dates
(instead of `np.nan`).
- Synthetic `TimeSeries` generated with `darts.utils.timeseries_generation` methods can now be integer-index
(just pass an integer instead of a timestamp for the `start` argument).
- Removed some deprecation warnings
- Updated conda installation instructions

**Fixed:**
- Removed [extra 1x1 convolutions](https://github.com/unit8co/darts/issues/470) in TCN Model.
- Fixed an issue with linewidth parameter when plotting `TimeSeries`.
- Fixed a column name issue in datetime attribute time series.

### For developers of the library:
- We have removed the `develop` branch.
- We force sklearn<1.0 has we have observed issues with pmdarima and sklearn==1.0

## [0.11.0](https://github.com/unit8co/darts/tree/0.11.0) (2021-09-04)
### For users of the library:
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2 changes: 1 addition & 1 deletion setup_u8darts.py
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setup(
name='u8darts',
version="0.11.0",
version="0.12.0",
description='A python library for easy manipulation and forecasting of time series.',
long_description=LONG_DESCRIPTION,
long_description_content_type="text/markdown",
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