首页
学习
活动
专区
圈层
工具
发布
社区首页 >问答首页 >导入mlflow时没有属性错误

导入mlflow时没有属性错误
EN

Stack Overflow用户
提问于 2022-09-28 07:50:52
回答 1查看 242关注 0票数 0

导入mlflow时出错。谷歌几乎一整天都没有找到任何能够解决问题的相关信息

代码语言:javascript
复制
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "E:\python\lib\site-packages\mlflow\__init__.py", line 41, in <module>
 from mlflow import projects  # pylint: disable=unused-import
File "E:\python\lib\site-packages\mlflow\projects\__init__.py", line 10, in <module>
import mlflow.projects.databricks
File "E:\python\lib\site-packages\mlflow\projects\databricks.py", line 12, in <module>
 from mlflow import tracking
File "E:\python\lib\site-packages\mlflow\tracking\__init__.py", line 8, in <module>
 from mlflow.tracking.client import MlflowClient
File "E:\python\lib\site-packages\mlflow\tracking\client.py", line 16, in <module>
 from mlflow.entities import Experiment, Run, RunInfo, Param, Metric, RunTag, FileInfo, 
ViewType
File "E:\python\lib\site-packages\mlflow\entities\__init__.py", line 6, in <module>
 from mlflow.entities.experiment import Experiment
 File "E:\python\lib\site-packages\mlflow\entities\experiment.py", line 2, in <module>
  from mlflow.entities.experiment_tag import ExperimentTag
File "E:\python\lib\site-packages\mlflow\entities\experiment_tag.py", line 2, in <module>
  from mlflow.protos.service_pb2 import ExperimentTag as ProtoExperimentTag
File "E:\python\lib\site-packages\mlflow\protos\service_pb2.py", line 18, in <module>
  from .scalapb import scalapb_pb2 as scalapb_dot_scalapb__pb2
File "E:\python\lib\site-packages\mlflow\protos\scalapb\scalapb_pb2.py", line 22, in <module>
 options = DESCRIPTOR.extensions_by_name['options']
  AttributeError: 'NoneType' object has no attribute 'extensions_by_name'
EN

回答 1

Stack Overflow用户

发布于 2022-09-29 14:16:25

来自mlflow 文档

MLflow要求conda在项目特性的路径上。

试着遵循下面的说明:

代码语言:javascript
复制
# Install MLflow
pip install mlflow

# Install MLflow with the experimental MLflow Pipelines component
pip install mlflow[pipelines]  # for pip
conda install -c conda-forge mlflow-pipelines  # for conda

# Install MLflow with extra ML libraries and 3rd-party tools
pip install mlflow[extras]

# Install a lightweight version of MLflow
pip install mlflow-skinny
票数 0
EN
页面原文内容由Stack Overflow提供。腾讯云小微IT领域专用引擎提供翻译支持
原文链接:

https://stackoverflow.com/questions/73877944

复制
相关文章

相似问题

领券
问题归档专栏文章快讯文章归档关键词归档开发者手册归档开发者手册 Section 归档