我使用 Azure ML Studio (SDK2) 中的组件创建了管道。 当我运行时 - 我的包有问题
File "com_row_to_col.py", line 6, in <module>
import mlflow
File "/azureml-envs/azureml_8fb4117f349a5533cb16993c2e87af3c/lib/python3.8/site-packages/mlflow/__init__.py", line 32, in <module>
import mlflow.tracking._model_registry.fluent
File "/azureml-envs/azureml_8fb4117f349a5533cb16993c2e87af3c/lib/python3.8/site-packages/mlflow/tracking/__init__.py", line 8, in <module>
from mlflow.tracking.client import MlflowClient
File "/azureml-envs/azureml_8fb4117f349a5533cb16993c2e87af3c/lib/python3.8/site-packages/mlflow/tracking/client.py", line 28, in <module>
from mlflow.tracking._tracking_service.client import TrackingServiceClient
File "/azureml-envs/azureml_8fb4117f349a5533cb16993c2e87af3c/lib/python3.8/site-packages/mlflow/tracking/_tracking_service/client.py", line 20, in <module>
from mlflow.store.artifact.artifact_repository_registry import get_artifact_repository
File "/azureml-envs/azureml_8fb4117f349a5533cb16993c2e87af3c/lib/python3.8/site-packages/mlflow/store/artifact/artifact_repository_registry.py", line 13, in <module>
from mlflow.store.artifact.s3_artifact_repo import S3ArtifactRepository
File "/azureml-envs/azureml_8fb4117f349a5533cb16993c2e87af3c/lib/python3.8/site-packages/mlflow/store/artifact/s3_artifact_repo.py", line 9, in <module>
from mlflow import data
File "/azureml-envs/azureml_8fb4117f349a5533cb16993c2e87af3c/lib/python3.8/site-packages/mlflow/data/__init__.py", line 5, in <module>
from mlflow.data import dataset_registry
File "/azureml-envs/azureml_8fb4117f349a5533cb16993c2e87af3c/lib/python3.8/site-packages/mlflow/data/dataset_registry.py", line 9, in <module>
from mlflow.data.dataset import Dataset
File "/azureml-envs/azureml_8fb4117f349a5533cb16993c2e87af3c/lib/python3.8/site-packages/mlflow/data/dataset.py", line 6, in <module>
from mlflow.entities import Dataset as DatasetEntity
ImportError: cannot import name 'Dataset' from 'mlflow.entities' (/azureml-envs/azureml_8fb4117f349a5533cb16993c2e87af3c/lib/python3.8/site-packages/mlflow/entities/__init__.py)
这个错误是第6行
import mlflow
在组件脚本中...
我使用 env(我创建的)
channels:
- conda-forge
dependencies:
- python=3.10
- numpy=1.21.2
- pip=21.2.4
- scikit-learn=0.24.2
- scipy=1.7.1
- 'pandas>=1.1,<1.2'
- pip:
- 'inference-schema[numpy-support]==1.3.0'
- xlrd==2.0.1
- mlflow==1.26.1
- azureml-mlflow==1.42.0
- 'psutil>=5.8,<5.9'
- 'tqdm>=4.59,<4.60'
- ipykernel~=6.0
- matplotlib
name: model-env
这很重要...早期我使用来自 github(官方)的示例并工作...
有什么想法吗? 我尝试删除计算,删除环境...更改环境版本mlflow...
最佳答案
根据信息,您正在使用 mlfow version=1.26.1 数据集类似乎在此特定版本中不可用。
要解决此问题,您可以尝试使用 mlfow.entitites
中提供的数据集类的更高版本。
您可以尝试 mlflow 版本 2.6.0
。
注意:请务必检查 mlflow
包与其他依赖项和 Python 版本的兼容性。
关于python - 无法从 'Dataset' 导入名称 'mlflow.entities',我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/76953366/