chore: v1.7.7 (#1226)

neuralforecast/__init__.py

@@ -1,4 +1,4 @@
-__version__ = "1.7.6"
+__version__ = "1.7.7"
 __all__ = ['NeuralForecast']
 from .core import NeuralForecast
 from .common._base_model import DistributedConfig  # noqa: F401

settings.ini

@@ -3,12 +3,12 @@ host = github
 lib_name = neuralforecast
 user = Nixtla
 description = Time series forecasting suite using deep learning models
-keywords = time-series forecasting deep-learning 
+keywords = time-series forecasting deep-learning
 author = Nixtla
 author_email = [email protected]
 copyright = Nixtla Inc.
 branch = main
-version = 1.7.6
+version = 1.7.7
 min_python = 3.8
 audience = Developers
 language = English
@@ -22,12 +22,17 @@ dev_requirements = black gitpython hyperopt matplotlib mypy nbdev==2.3.25 polars
 nbs_path = nbs
 doc_path = _docs
 recursive = True
-doc_host =  https://nixtlaverse.nixtla.io
+doc_host = https://nixtlaverse.nixtla.io
 doc_baseurl = /neuralforecast/
-git_url = https://github.com/%(user)s/neuralforecast/
-lib_path = %(lib_name)s
-title = %(lib_name)s
+git_url = https://github.com/Nixtla/neuralforecast/
+lib_path = neuralforecast
+title = neuralforecast
 black_formatting = True
 jupyter_hooks = True
 clean_ids = True
 tst_flags = polars
+readme_nb = index.ipynb
+allowed_metadata_keys = 
+allowed_cell_metadata_keys = 
+clear_all = False
+put_version_in_init = True