我正在尝试在本地运行 mlflow 服务器。
为此，我正在使用:
mlflow server --backend-store-uri="sqlite:///C:\\path\\to\\project_folder\\backend\\mlflow_data.db"
--default-artifact-root="file:///C:\\path\\to\\project_folder\\artifact_store\\"
在哪里
- backend-store-uri: URI to which to persist experiment and run data (sqlite database in our case).
- default-artifact-root: Local or S3 URI to store artifacts, for new experiments (local folder in our case).
我已经安装了包:
numpy==1.17.3
pandas==0.25.3
jupyterlab==1.0.10
scikit-learn==0.21.3
matplotlib==3.1.2
mlflow==1.4.0
torch==1.3.1+cpu
torchvision==0.4.2+cpu
xgboost==0.90
问题是我收到这个错误:
Fatal error in launcher: Unable to create process using "d:\bld\mlflow_1572494804636\_h_env\python.exe" "C:\Users\user\AppData\Local\Continuum\miniconda3\envs\mlflow-tut orial\Scripts\mlflow.exe" server --backend-store-uri=sqlite:///C:\\projects\\user\\mlflow_tutorial\\backend\\mlflow_ui_data.db --default-artifact-root=file:///C:\\projects \\user\\mlflow_tutorial\\artifact_store\\
当我运行 mlflow server 命令时。有什么想法吗？
最佳答案
路径中好像有空格:
关于python - 运行本地 mlflow 服务器时出错，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/59412232/