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Original file line number | Diff line number | Diff line change |
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@@ -3,7 +3,7 @@ host = github | |
lib_name = statsforecast | ||
user = Nixtla | ||
description = Time series forecasting suite using statistical models | ||
keywords = time-series forecasting arima ets | ||
keywords = time-series forecasting arima ets | ||
author = Nixtla | ||
author_email = [email protected] | ||
copyright = Nixtla Inc. | ||
|
@@ -16,12 +16,12 @@ custom_sidebar = True | |
license = apache2 | ||
status = 2 | ||
requirements = cloudpickle coreforecast>=0.0.9 numba>=0.55.0 numpy>=1.21.6 pandas>=1.3.5 scipy>=1.7.3 statsmodels>=0.13.2 tqdm fugue>=0.8.1 utilsforecast>=0.1.4 threadpoolctl | ||
polars_requirements = polars | ||
ray_requirements = fugue[ray]>=0.8.1 protobuf>=3.15.3,<4.0.0 ray<2.8 | ||
polars_requirements = polars[numpy] | ||
ray_requirements = fugue[ray]>=0.8.1 protobuf>=3.15.3,<4.0.0 numpy<2 pandas<2.2 ray<2.8 | ||
dask_requirements = fugue[dask]>=0.8.1 | ||
spark_requirements = fugue[spark]>=0.8.1 | ||
plotly_requirements = plotly plotly-resampler | ||
dev_requirements = nbdev black mypy pandas[plot] pmdarima prophet pyarrow ruff scikit-learn setuptools<70 datasetsforecast supersmoother nbdev_plotly pre-commit | ||
dev_requirements = black datasetsforecast fire nbdev nbformat nbdev_plotly pandas[plot] pmdarima polars[numpy] pre-commit prophet pyarrow scikit-learn setuptools<70 supersmoother | ||
nbs_path = nbs | ||
doc_path = _docs | ||
recursive = True | ||
|
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