我尝试从 greykite 导入某些内容时遇到以下类型错误：
TypeError：这是一个 python-holidays 实体加载器类。出于实体继承的目的，请导入您想要直接派生的类：例如，
from holidays.countries import Entityfrom holidays.financial import Entity进口线路：
from greykite.framework.templates.forecaster import Forecaster贝娄是我的虚拟环境：
name: C:\Users\Nes_X\Desktop\Time Series Forecasting Product\env
channels:
- conda-forge
- defaults
dependencies:
- aiofiles=22.1.0=py38haa95532_0
- aiosqlite=0.18.0=py38haa95532_0
- anyio=3.5.0=py38haa95532_0
- appdirs=1.4.4=pyhd3eb1b0_0
- argon2-cffi=21.3.0=pyhd3eb1b0_0
- argon2-cffi-bindings=21.2.0=py38h2bbff1b_0
- asttokens=2.0.5=pyhd3eb1b0_0
- attrs=22.1.0=py38haa95532_0
- babel=2.11.0=py38haa95532_0
- backcall=0.2.0=pyhd3eb1b0_0
- beautifulsoup4=4.12.2=py38haa95532_0
- blas=1.0=mkl
- bleach=4.1.0=pyhd3eb1b0_0
- bottleneck=1.3.5=py38h080aedc_0
- brotli=1.0.9=h2bbff1b_7
- brotli-bin=1.0.9=h2bbff1b_7
- brotlipy=0.7.0=py38h2bbff1b_1003
- ca-certificates=2023.05.30=haa95532_0
- certifi=2023.7.22=py38haa95532_0
- cffi=1.15.1=py38h2bbff1b_3
- charset-normalizer=2.0.4=pyhd3eb1b0_0
- cmdstan=2.32.1=hcde1630_0
- cmdstanpy=1.1.0=pyhd8ed1ab_0
- colorama=0.4.6=py38haa95532_0
- comm=0.1.2=py38haa95532_0
- contourpy=1.0.5=py38h59b6b97_0
- convertdate=2.4.0=pyhd8ed1ab_0
- cryptography=41.0.2=py38h31511bf_0
- cycler=0.11.0=pyhd3eb1b0_0
- cython=0.29.35=py38hd77b12b_0
- debugpy=1.5.1=py38hd77b12b_0
- decorator=5.1.1=pyhd3eb1b0_0
- defusedxml=0.7.1=pyhd3eb1b0_0
- entrypoints=0.4=py38haa95532_0
- ephem=4.1.4=py38h91455d4_0
- executing=0.8.3=pyhd3eb1b0_0
- fonttools=4.25.0=pyhd3eb1b0_0
- freetype=2.12.1=ha860e81_0
- giflib=5.2.1=h8cc25b3_3
- glib=2.69.1=h5dc1a3c_2
- gst-plugins-base=1.18.5=h9e645db_0
- gstreamer=1.18.5=hd78058f_0
- holidays=0.29=pyhd8ed1ab_0
- icc_rt=2022.1.0=h6049295_2
- icu=58.2=ha925a31_3
- idna=3.4=py38haa95532_0
- importlib-metadata=6.0.0=py38haa95532_0
- importlib_metadata=6.0.0=hd3eb1b0_0
- importlib_resources=5.2.0=pyhd3eb1b0_1
- intel-openmp=2023.1.0=h59b6b97_46319
- ipykernel=6.19.2=py38hd4e2768_0
- ipython=8.12.0=py38haa95532_0
- ipython_genutils=0.2.0=pyhd3eb1b0_1
- ipywidgets=8.0.4=py38haa95532_0
- jedi=0.18.1=py38haa95532_1
- jinja2=3.1.2=py38haa95532_0
- joblib=1.2.0=py38haa95532_0
- jpeg=9e=h2bbff1b_1
- json5=0.9.6=pyhd3eb1b0_0
- jsonschema=4.17.3=py38haa95532_0
- jupyter=1.0.0=py38haa95532_8
- jupyter_client=8.1.0=py38haa95532_0
- jupyter_console=6.6.3=py38haa95532_0
- jupyter_core=5.3.0=py38haa95532_0
- jupyter_events=0.6.3=py38haa95532_0
- jupyter_server=2.5.0=py38haa95532_0
- jupyter_server_fileid=0.9.0=py38haa95532_0
- jupyter_server_terminals=0.4.4=py38haa95532_1
- jupyter_server_ydoc=0.8.0=py38haa95532_1
- jupyter_ydoc=0.2.4=py38haa95532_0
- jupyterlab=3.6.3=py38haa95532_0
- jupyterlab_pygments=0.1.2=py_0
- jupyterlab_server=2.22.0=py38haa95532_0
- jupyterlab_widgets=3.0.5=py38haa95532_0
- kiwisolver=1.4.4=py38hd77b12b_0
- krb5=1.19.4=h5b6d351_0
- lerc=3.0=hd77b12b_0
- libbrotlicommon=1.0.9=h2bbff1b_7
- libbrotlidec=1.0.9=h2bbff1b_7
- libbrotlienc=1.0.9=h2bbff1b_7
- libclang=14.0.6=default_hb5a9fac_1
- libclang13=14.0.6=default_h8e68704_1
- libdeflate=1.17=h2bbff1b_0
- libffi=3.4.4=hd77b12b_0
- libhwloc=2.9.1=h51c2c0f_0
- libiconv=1.16=h2bbff1b_2
- libogg=1.3.5=h2bbff1b_1
- libpng=1.6.39=h8cc25b3_0
- libsodium=1.0.18=h62dcd97_0
- libtiff=4.5.0=h6c2663c_2
- libvorbis=1.3.7=he774522_0
- libwebp=1.2.4=hbc33d0d_1
- libwebp-base=1.2.4=h2bbff1b_1
- libxml2=2.10.3=h0ad7f3c_0
- libxslt=1.1.37=h2bbff1b_0
- lunarcalendar=0.0.9=py_0
- lxml=4.9.2=py38h2bbff1b_0
- lz4-c=1.9.4=h2bbff1b_0
- m2-bash=4.3.042=5
- m2-coreutils=8.25=102
- m2-filesystem=2016.04=4
- m2-gcc-libs=5.3.0=4
- m2-gmp=6.1.0=3
- m2-libiconv=1.14=3
- m2-libintl=0.19.7=4
- m2-msys2-runtime=2.5.0.17080.65c939c=3
- m2-sed=4.2.2=3
- m2w64-binutils=2.25.1=5
- m2w64-bzip2=1.0.6=6
- m2w64-crt-git=5.0.0.4636.2595836=2
- m2w64-gcc=5.3.0=6
- m2w64-gcc-ada=5.3.0=6
- m2w64-gcc-fortran=5.3.0=6
- m2w64-gcc-libgfortran=5.3.0=6
- m2w64-gcc-libs=5.3.0=7
- m2w64-gcc-libs-core=5.3.0=7
- m2w64-gcc-objc=5.3.0=6
- m2w64-gmp=6.1.0=2
- m2w64-headers-git=5.0.0.4636.c0ad18a=2
- m2w64-isl=0.16.1=2
- m2w64-libiconv=1.14=6
- m2w64-libmangle-git=5.0.0.4509.2e5a9a2=2
- m2w64-libwinpthread-git=5.0.0.4634.697f757=2
- m2w64-make=4.1.2351.a80a8b8=2
- m2w64-mpc=1.0.3=3
- m2w64-mpfr=3.1.4=4
- m2w64-pkg-config=0.29.1=2
- m2w64-toolchain=5.3.0=7
- m2w64-toolchain_win-64=2.5.0=h57928b3_0
- m2w64-tools-git=5.0.0.4592.90b8472=2
- m2w64-windows-default-manifest=6.4=3
- m2w64-winpthreads-git=5.0.0.4634.697f757=2
- m2w64-zlib=1.2.8=10
- markupsafe=2.1.1=py38h2bbff1b_0
- matplotlib=3.7.1=py38haa95532_1
- matplotlib-base=3.7.1=py38hf11a4ad_1
- matplotlib-inline=0.1.6=py38haa95532_0
- mistune=0.8.4=py38he774522_1000
- mkl=2023.1.0=h8bd8f75_46356
- mkl-service=2.4.0=py38h2bbff1b_1
- mkl_fft=1.3.6=py38hf11a4ad_1
- mkl_random=1.2.2=py38hf11a4ad_1
- msys2-conda-epoch=20160418=1
- munkres=1.1.4=py_0
- nbclassic=0.5.5=py38haa95532_0
- nbclient=0.5.13=py38haa95532_0
- nbconvert=6.5.4=py38haa95532_0
- nbformat=5.7.0=py38haa95532_0
- nest-asyncio=1.5.6=py38haa95532_0
- notebook=6.5.4=py38haa95532_0
- notebook-shim=0.2.2=py38haa95532_0
- numexpr=2.8.4=py38h7b80656_1
- numpy=1.24.3=py38h79a8e48_1
- numpy-base=1.24.3=py38h8a87ada_1
- openssl=1.1.1u=h2bbff1b_0
- packaging=23.0=py38haa95532_0
- pandocfilters=1.5.0=pyhd3eb1b0_0
- parso=0.8.3=pyhd3eb1b0_0
- patsy=0.5.3=py38haa95532_0
- pcre=8.45=hd77b12b_0
- pickleshare=0.7.5=pyhd3eb1b0_1003
- pillow=9.4.0=py38hd77b12b_0
- pip=23.1.2=py38haa95532_0
- pkgutil-resolve-name=1.3.10=py38haa95532_0
- platformdirs=2.5.2=py38haa95532_0
- ply=3.11=py38_0
- pmdarima=2.0.3=py38h2bbff1b_0
- pooch=1.4.0=pyhd3eb1b0_0
- prometheus_client=0.14.1=py38haa95532_0
- prompt-toolkit=3.0.36=py38haa95532_0
- prompt_toolkit=3.0.36=hd3eb1b0_0
- prophet=1.1.4=py38h589431e_0
- psutil=5.9.0=py38h2bbff1b_0
- pthreads-win32=2.9.1=hfa6e2cd_3
- pure_eval=0.2.2=pyhd3eb1b0_0
- pycparser=2.21=pyhd3eb1b0_0
- pygments=2.15.1=py38haa95532_1
- pymeeus=0.5.12=pyhd8ed1ab_0
- pyopenssl=23.2.0=py38haa95532_0
- pyparsing=3.0.9=py38haa95532_0
- pyqt=5.15.7=py38hd77b12b_0
- pyqt5-sip=12.11.0=py38hd77b12b_0
- pyrsistent=0.18.0=py38h196d8e1_0
- pysocks=1.7.1=py38haa95532_0
- python=3.8.17=h6244533_0
- python-dateutil=2.8.2=pyhd3eb1b0_0
- python-fastjsonschema=2.16.2=py38haa95532_0
- python-json-logger=2.0.7=py38haa95532_0
- python_abi=3.8=2_cp38
- pytz=2022.7=py38haa95532_0
- pywin32=305=py38h2bbff1b_0
- pywinpty=2.0.10=py38h5da7b33_0
- pyyaml=6.0=py38h2bbff1b_1
- pyzmq=25.1.0=py38hd77b12b_0
- qt-main=5.15.2=he8e5bd7_8
- qt-webengine=5.15.9=hb9a9bb5_5
- qtconsole=5.4.2=py38haa95532_0
- qtpy=2.2.0=py38haa95532_0
- qtwebkit=5.212=h2bbfb41_5
- requests=2.29.0=py38haa95532_0
- rfc3339-validator=0.1.4=py38haa95532_0
- rfc3986-validator=0.1.1=py38haa95532_0
- scikit-learn=1.2.2=py38hd77b12b_1
- scipy=1.10.1=py38hdcfc7df_1
- send2trash=1.8.0=pyhd3eb1b0_1
- setuptools=67.8.0=py38haa95532_0
- sip=6.6.2=py38hd77b12b_0
- six=1.16.0=pyhd3eb1b0_1
- sniffio=1.2.0=py38haa95532_1
- soupsieve=2.4=py38haa95532_0
- sqlite=3.41.2=h2bbff1b_0
- stack_data=0.2.0=pyhd3eb1b0_0
- statsmodels=0.14.0=py38h9128911_0
- tbb=2021.9.0=h91493d7_0
- terminado=0.17.1=py38haa95532_0
- threadpoolctl=2.2.0=pyh0d69192_0
- tinycss2=1.2.1=py38haa95532_0
- tk=8.6.12=h2bbff1b_0
- toml=0.10.2=pyhd3eb1b0_0
- tomli=2.0.1=py38haa95532_0
- tornado=6.2=py38h2bbff1b_0
- tqdm=4.65.0=pyhd8ed1ab_1
- traitlets=5.7.1=py38haa95532_0
- typing-extensions=4.6.3=py38haa95532_0
- typing_extensions=4.6.3=py38haa95532_0
- ucrt=10.0.22621.0=h57928b3_0
- urllib3=1.26.16=py38haa95532_0
- vc=14.2=h21ff451_1
- vc14_runtime=14.36.32532=hfdfe4a8_17
- vs2015_runtime=14.36.32532=h05e6639_17
- wcwidth=0.2.5=pyhd3eb1b0_0
- webencodings=0.5.1=py38_1
- websocket-client=0.58.0=py38haa95532_4
- wheel=0.38.4=py38haa95532_0
- widgetsnbextension=4.0.5=py38haa95532_0
- win_inet_pton=1.1.0=py38haa95532_0
- winpty=0.4.3=4
- xz=5.4.2=h8cc25b3_0
- y-py=0.5.9=py38hb6bf4ef_0
- yaml=0.2.5=he774522_0
- ypy-websocket=0.8.2=py38haa95532_0
- zeromq=4.3.4=hd77b12b_0
- zipp=3.11.0=py38haa95532_0
- zlib=1.2.13=h8cc25b3_0
- zstd=1.5.5=hd43e919_0
- pip:
- cvxpy==1.3.2
- dill==0.3.7
- ecos==2.0.12
- exceptiongroup==1.1.2
- future==0.18.3
- greykite==0.4.0
- holidays-ext==0.0.8
- iniconfig==2.0.0
- lunarcalendar-ext==0.0.1
- osqp==0.6.1
- overrides==7.3.1
- pandas==1.2.5
- plotly==5.15.0
- pluggy==1.2.0
- pytest==7.4.0
- pytest-runner==6.0.0
- scs==3.2.3
- tenacity==8.2.2
- testfixtures==7.1.0
prefix: C:\Users\Nes_X\Desktop\Time Series Forecasting Product\env
以下完整错误：
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
Cell In[1], line 6
4 import matplotlib.pyplot as plt
5 from greykite.framework.templates.autogen.forecast_config import *
----> 6 from greykite.framework.templates.forecaster import Forecaster
7 from greykite.framework.templates.model_templates import ModelTemplateEnum
8 from greykite.common.features.timeseries_features import *
File ~\Desktop\Time Series Forecasting Product\env\lib\site-packages\greykite\framework\templates\forecaster.py:37
35 from greykite.common.logging import log_message
36 from greykite.common.python_utils import unique_elements_in_list
---> 37 from greykite.framework.pipeline.pipeline import ForecastResult
38 from greykite.framework.pipeline.pipeline import forecast_pipeline
39 from greykite.framework.pipeline.utils import get_basic_pipeline
File ~\Desktop\Time Series Forecasting Product\env\lib\site-packages\greykite\framework\pipeline\pipeline.py:47
45 from greykite.framework.constants import COMPUTATION_N_JOBS
46 from greykite.framework.constants import CV_REPORT_METRICS_ALL
---> 47 from greykite.framework.input.univariate_time_series import UnivariateTimeSeries
48 from greykite.framework.output.univariate_forecast import UnivariateForecast
49 from greykite.framework.pipeline.utils import get_basic_pipeline
File ~\Desktop\Time Series Forecasting Product\env\lib\site-packages\greykite\framework\input\univariate_time_series.py:41
39 from greykite.common.time_properties import describe_timeseries
40 from greykite.common.time_properties import get_canonical_data
---> 41 from greykite.common.viz.timeseries_plotting import add_groupby_column
42 from greykite.common.viz.timeseries_plotting import flexible_grouping_evaluation
43 from greykite.common.viz.timeseries_plotting import grouping_evaluation
File ~\Desktop\Time Series Forecasting Product\env\lib\site-packages\greykite\common\viz\timeseries_plotting.py:32
29 from plotly.colors import DEFAULT_PLOTLY_COLORS
31 from greykite.common import constants as cst
---> 32 from greykite.common.features.timeseries_features import build_time_features_df
33 from greykite.common.logging import LoggingLevelEnum
34 from greykite.common.logging import log_message
File ~\Desktop\Time Series Forecasting Product\env\lib\site-packages\greykite\common\features\timeseries_features.py:31
29 import numpy as np
30 import pandas as pd
---> 31 from holidays_ext import get_holidays as get_hdays
32 from scipy.special import expit
34 from greykite.common import constants as cst
File ~\Desktop\Time Series Forecasting Product\env\lib\site-packages\holidays_ext\get_holidays.py:13
9 import warnings
11 import pandas as pd
---> 13 from holidays_ext import holidays_ext
14 import holidays
17 def get_holiday(
18 country_list: List[str],
19 years: List[int]) -> dict:
File ~\Desktop\Time Series Forecasting Product\env\lib\site-packages\holidays_ext\holidays_ext.py:1072
1068 class GE(Georgia):
1069 pass
-> 1072 class UnitedStates(OldUnitedStates):
1073 """Overrides United States by adding Halloween."""
1074 def __init__(self, **kwargs):
File ~\Desktop\Time Series Forecasting Product\env\lib\site-packages\holidays\registry.py:172, in EntityLoader.__init__(self, path, *args, **kwargs)
170 """Set up a lazy loader."""
171 if args:
--> 172 raise TypeError(
173 "This is a python-holidays entity loader class. "
174 "For entity inheritance purposes please import a class you "
175 "want to derive from directly: e.g., "
176 "`from holidays.countries import Entity` or "
177 "`from holidays.financial import Entity`."
178 )
180 entity_path = path.split(".")
182 self.entity = None
TypeError: This is a python-holidays entity loader class. For entity inheritance purposes please import a class you want to derive from directly: e.g., `from holidays.countries import Entity` or `from holidays.financial import Entity`.
如有任何帮助，我们将不胜感激，
谢谢。
我尝试在 conda 虚拟环境中重新安装假期包，认为这与它有关，但无济于事。