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chore: v1.7.7 (#1226)
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neuralforecast/__init__.py

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__version__ = "1.7.6"
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__version__ = "1.7.7"
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__all__ = ['NeuralForecast']
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from .core import NeuralForecast
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from .common._base_model import DistributedConfig # noqa: F401

settings.ini

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lib_name = neuralforecast
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user = Nixtla
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description = Time series forecasting suite using deep learning models
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keywords = time-series forecasting deep-learning
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keywords = time-series forecasting deep-learning
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author = Nixtla
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author_email = [email protected]
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copyright = Nixtla Inc.
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branch = main
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version = 1.7.6
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version = 1.7.7
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min_python = 3.8
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audience = Developers
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language = English
@@ -22,12 +22,17 @@ dev_requirements = black gitpython hyperopt matplotlib mypy nbdev==2.3.25 polars
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nbs_path = nbs
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doc_path = _docs
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recursive = True
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doc_host = https://nixtlaverse.nixtla.io
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doc_host = https://nixtlaverse.nixtla.io
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doc_baseurl = /neuralforecast/
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git_url = https://github.com/%(user)s/neuralforecast/
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lib_path = %(lib_name)s
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title = %(lib_name)s
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git_url = https://github.com/Nixtla/neuralforecast/
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lib_path = neuralforecast
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title = neuralforecast
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black_formatting = True
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jupyter_hooks = True
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clean_ids = True
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tst_flags = polars
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readme_nb = index.ipynb
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allowed_metadata_keys =
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allowed_cell_metadata_keys =
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clear_all = False
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put_version_in_init = True

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