diff options
| author | CoprDistGit <infra@openeuler.org> | 2023-04-25 09:15:23 +0000 |
|---|---|---|
| committer | CoprDistGit <infra@openeuler.org> | 2023-04-25 09:15:23 +0000 |
| commit | d6e1cfadf0ff3f8b2cf6bb77f5a4cd1de8ff8654 (patch) | |
| tree | 2d6b6a6f1ddf8f59d9b4b60dc5a8947b52a0952d /python-darts.spec | |
| parent | 8d09030a6ea53a03f4a389622280eedf9bd91427 (diff) | |
automatic import of python-dartsopeneuler20.03
Diffstat (limited to 'python-darts.spec')
| -rw-r--r-- | python-darts.spec | 15 |
1 files changed, 8 insertions, 7 deletions
diff --git a/python-darts.spec b/python-darts.spec index 0e039ef..a619139 100644 --- a/python-darts.spec +++ b/python-darts.spec @@ -1,11 +1,11 @@ %global _empty_manifest_terminate_build 0 Name: python-darts -Version: 0.23.1 +Version: 0.24.0 Release: 1 Summary: A python library for easy manipulation and forecasting of time series. License: Apache License 2.0 URL: https://unit8co.github.io/darts/ -Source0: https://mirrors.nju.edu.cn/pypi/web/packages/08/91/a560e7756161f81f92155537518c6fb8c47e762eb153330073cd588d8bca/darts-0.23.1.tar.gz +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/91/c6/e1786d323f0b68de0e42873bfc81d78208bd5cc8588f4ee16e86cc017556/darts-0.24.0.tar.gz BuildArch: noarch Requires: python3-catboost @@ -30,6 +30,7 @@ Requires: python3-tqdm Requires: python3-xarray Requires: python3-xgboost Requires: python3-pytorch-lightning +Requires: python3-tensorboardX Requires: python3-torch %description @@ -177,7 +178,7 @@ series.plot() * **PyTorch Lightning Support:** All deep learning models are implemented using PyTorch Lightning, supporting among other things custom callbacks, GPUs/TPUs training and custom trainers. * **Filtering Models:** Darts offers three filtering models: `KalmanFilter`, `GaussianProcessFilter`, - and `MovingAverage`, which allow to filter time series, and in some cases obtain probabilistic + and `MovingAverageFilter`, which allow to filter time series, and in some cases obtain probabilistic inferences of the underlying states/values. * **Datasets** The `darts.datasets` submodule contains some popular time series datasets for rapid and reproducible experimentation. @@ -336,7 +337,7 @@ series.plot() * **PyTorch Lightning Support:** All deep learning models are implemented using PyTorch Lightning, supporting among other things custom callbacks, GPUs/TPUs training and custom trainers. * **Filtering Models:** Darts offers three filtering models: `KalmanFilter`, `GaussianProcessFilter`, - and `MovingAverage`, which allow to filter time series, and in some cases obtain probabilistic + and `MovingAverageFilter`, which allow to filter time series, and in some cases obtain probabilistic inferences of the underlying states/values. * **Datasets** The `darts.datasets` submodule contains some popular time series datasets for rapid and reproducible experimentation. @@ -492,7 +493,7 @@ series.plot() * **PyTorch Lightning Support:** All deep learning models are implemented using PyTorch Lightning, supporting among other things custom callbacks, GPUs/TPUs training and custom trainers. * **Filtering Models:** Darts offers three filtering models: `KalmanFilter`, `GaussianProcessFilter`, - and `MovingAverage`, which allow to filter time series, and in some cases obtain probabilistic + and `MovingAverageFilter`, which allow to filter time series, and in some cases obtain probabilistic inferences of the underlying states/values. * **Datasets** The `darts.datasets` submodule contains some popular time series datasets for rapid and reproducible experimentation. @@ -501,7 +502,7 @@ Here's a breakdown of the forecasting models currently implemented in Darts. We on bringing more models and features. %prep -%autosetup -n darts-0.23.1 +%autosetup -n darts-0.24.0 %build %py3_build @@ -541,5 +542,5 @@ mv %{buildroot}/doclist.lst . %{_docdir}/* %changelog -* Tue Apr 11 2023 Python_Bot <Python_Bot@openeuler.org> - 0.23.1-1 +* Tue Apr 25 2023 Python_Bot <Python_Bot@openeuler.org> - 0.24.0-1 - Package Spec generated |